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  • AlgoSec | Firewall Traffic Analysis: The Complete Guide

    What is Firewall Traffic Analysis? Firewall traffic analysis (FTA) is a network security operation that grants visibility into the data packets that travel through your network’s firewalls. Cybersecurity professionals conduct firewall traffic analysis as part of wider network traffic analysis (NTA) workflows. The traffic monitoring data they gain provides deep visibility into how attacks can penetrate your network and what kind of damage threat actors can do once they succeed. NTA vs. FTA... Firewall Policy Management Firewall Traffic Analysis: The Complete Guide Asher Benbenisty 2 min read Asher Benbenisty Short bio about author here Lorem ipsum dolor sit amet consectetur. Vitae donec tincidunt elementum quam laoreet duis sit enim. Duis mattis velit sit leo diam. Tags Share this article 10/24/23 Published What is Firewall Traffic Analysis? Firewall traffic analysis (FTA) is a network security operation that grants visibility into the data packets that travel through your network’s firewalls. Cybersecurity professionals conduct firewall traffic analysis as part of wider network traffic analysis (NTA) workflows. The traffic monitoring data they gain provides deep visibility into how attacks can penetrate your network and what kind of damage threat actors can do once they succeed. NTA vs. FTA Explained NTA tools provide visibility into things like internal traffic inside the data center, inbound VPN traffic from external users, and bandwidth metrics from Internet of Things (iOT) endpoints. They inspect on-premises devices like routers and switches, usually through a unified, vendor-agnostic interface. Network traffic analyzers do inspect firewalls, but might stop short of firewall-specific network monitoring and management. FTA tools focus more exclusively on traffic patterns through the organization’s firewalls. They provide detailed information on how firewall rules interact with traffic from different sources. This kind of tool might tell you how a specific Cisco firewall conducts deep packet inspection on a certain IP address, and provide broader metrics on how your firewalls operate overall. It may also provide change management tools designed to help you optimize firewall rules and security policies . Firewall Rules Overview Your firewalls can only protect against security threats effectively when they are equipped with an optimized set of rules. These rules determine which users are allowed to access network assets and what kind of network activity is allowed. They play a major role in enforcing network segmentation and enabling efficient network management. Analyzing device policies for an enterprise network is a complex and time-consuming task. Minor mistakes can lead to critical risks remaining undetected and expose network devices to cyberattacks. For this reason, many security leaders use automated risk management solutions that include firewall traffic analysis. These tools perform a comprehensive analysis of firewall rules and communicate the risks of specific rules across every device on the network. This information is important because it will inform the choices you make during real-time traffic analysis. Having a comprehensive view of your security risk profile allows you to make meaningful changes to your security posture as you analyze firewall traffic. Performing Real-Time Traffic Analysis AlgoSec Horizon Security Analyzer captures information on the following traffic types: External IP addresses Internal IP addresses (public and private, including NAT addresses) Protocols (like TCP/IP, SMTP, HTTP, and others) Port numbers and applications for sources and destinations Incoming and outgoing traffic Potential intrusions The platform also supports real-time network traffic analysis and monitoring. When activated, it will periodically inspect network devices for changes to their policy rules, object definitions, audit logs, and more. You can view the changes detected for individual devices and groups, and filter the results to find specific network activities according to different parameters. For any detected change, Horizon Security Analyzer immediately aggregates the following data points: Device – The device where the changes happened. Date/Time – The exact time when the change was made. Changed by – Tells you which administrator performed the change. Summary – Lists the network assets impacted by the change. Many devices supported by Horizon Security Analyzer are actually systems of devices that work together. You can visualize the relationships between these assets using the device tree format. This presents every device as a node in the tree, giving you an easy way to manage and view data for individual nodes, parents nodes, and global categories. For example, Horizon Security Analyzer might discover a redundant rule copied across every firewall in your network. If its analysis shows that the rule triggers frequently, it might recommend moving to a higher node on the device tree. If it turns out the rule never triggers, it may recommend adjusting the rule or deleting it completely. If the rule doesn’t trigger because it conflicts with another firewall rule, it’s clear that some action is needed. Importance of Visualization and Reporting Open source network analysis tools typically work through a command-line interface or a very simple graphic user interface. Most of the data you can collect through these tools must be processed separately before being communicated to non-technical stakeholders. High-performance firewall analysis tools like AlgoSec Horizon Security Analyzer provide additional support for custom visualizations and reports directly through the platform. Visualization allows non-technical stakeholders to immediately grasp the importance of optimizing firewall policies, conducting netflow analysis, and improving the organization’s security posture against emerging threats. For security leaders reporting to board members and external stakeholders, this can dramatically transform the success of security initiatives. AlgoSec Horizon Security Analyzer includes a Visualize tab that allows users to create custom data visualizations. You can save these visualizations individually or combine them into a dashboard. Some of the data sources you can use to create visualizations include: Interactive searches Saved searches Other saved visualizations Traffic Analysis Metrics and Reports Custom visualizations enhance reports by enabling non-technical audiences to understand complex network traffic metrics without the need for additional interpretation. Metrics like speed, bandwidth usage, packet loss, and latency provide in-depth information about the reliability and security of the network. Analyzing these metrics allows network administrators to proactively address performance bottlenecks, network issues, and security misconfigurations. This helps the organization’s leaders understand the network’s capabilities and identify the areas that need improvement. For example, an organization that is planning to migrate to the cloud must know whether its current network infrastructure can support that migration. The only way to guarantee this is by carefully measuring network performance and proactively mitigating security risks. Network traffic analysis tools should do more than measure simple metrics like latency. They need to combine latency into complex performance indicators that show how much latency is occuring, and how network conditions impact those metrics. That might include measuring the variation in delay between individual data packets (jitter), Packet Delay Variation (PDV), and others. With the right automated firewall analysis tool, these metrics can help you identify and address security vulnerabilities as well. For example, you could automate the platform to trigger alerts when certain metrics fall outside safe operating parameters. Exploring AlgoSec’s Network Traffic Analysis Tool AlgoSec Horizon Security Analyzer provides a wide range of operations and optimizations to security teams operating in complex environments. It enables firewall performance improvements and produces custom reports with rich visualizations demonstrating the value of its optimizations. Some of the operations that Horizon Security Analyzer supports include: Device analysis and change tracking reports. Gain in-depth data on device policies, traffic, rules, and objects. It analyzes the routing table that produces a connectivity diagram illustrating changes from previous reports on every device covered. Traffic and routing queries. Run traffic simulations on specific devices and groups to find out how firewall rules interact in specific scenarios. Troubleshoot issues that emerge and use the data collected to prevent disruptions to real-world traffic. This allows for seamless server IP migration and security validation. Compliance verification and reporting. Explore the policy and change history of individual devices, groups, and global categories. Generate custom reports that meet the requirements of corporate regulatory standards like Sarbanes-Oxley, HIPAA, PCI DSS, and others. Rule cleanup and auditing. Identify firewall rules that are either unused, timed out, disabled, or redundant. Safely remove rules that fail to improve your security posture, improving the efficiency of your firewall devices. List unused rules, rules that don’t conform to company policy, and more. Horizon Security Analyzer can even re-order rules automatically, increasing device performance while retaining policy logic. User notifications and alerts. Discover when unexpected changes are made and find out how those changes were made. Monitor devices for rule changes and send emails to pre-assigned users with device analyses and reports. Network Traffic Analysis for Threat Detection and Response By monitoring and inspecting network traffic patterns, firewall analysis tools can help security teams quickly detect and respond to threats. Layer on additional technologies like Intrusion Detection Systems (IDS), Network Detection and Response (NDR), and Threat Intelligence feeds to transform network analysis into a proactive detection and response solution. IDS solutions can examine packet headers, usage statistics, and protocol data flows to find out when suspicious activity is taking place. Network sensors may monitor traffic that passes through specific routers or switches, or host-based intrusion detection systems may monitor traffic from within a host on the network. NDR solutions use a combination of analytical techniques to identify security threats without relying on known attack signatures. They continuously monitor and analyze network traffic data to establish a baseline of normal network activity. NDR tools alert security teams when new activity deviates too far from the baseline. Threat intelligence feeds provide live insight on the indicators associated with emerging threats. This allows security teams to associate observed network activities with known threats as they develop in real-time. The best threat intelligence feeds filter out the huge volume of superfluous threat data that doesn’t pertain to the organization in question. Firewall Traffic Analysis in Specific Environments On-Premises vs. Cloud-hosted Environments Firewall traffic analyzers exist in both on-premises and cloud-based forms. As more organizations migrate business-critical processes to the cloud, having a truly cloud-native network analysis tool is increasingly important. The best of these tools allow security teams to measure the performance of both on-premises and cloud-hosted network devices, gathering information from physical devices, software platforms, and the infrastructure that connects them. Securing the Internet of Things It’s also important that firewall traffic analysis tools take Internet of Things (IoT) devices in consideration. These should be grouped separately from other network assets and furnished with firewall rules that strictly segment them. Ideally, if threat actors compromise one or more IoT devices, network segmentation won’t allow the attack to spread to other parts of the network. Conducting firewall analysis and continuously auditing firewall rules ensures that the barriers between network segments remain viable even if peripheral assets (like IoT devices) are compromised. Microsoft Windows Environments Organizations that rely on extensive Microsoft Windows deployments need to augment the built-in security capabilities that Windows provides. On its own, Windows does not offer the kind of in-depth security or visibility that organizations need. Firewall traffic analysis can play a major role helping IT decision-makers deploy technologies that improve the security of their Windows-based systems. Troubleshooting and Forensic Analysis Firewall analysis can provide detailed information into the causes of network problems, enabling IT professionals to respond to network issues more quickly. There are a few ways network administrators can do this: Analyzing firewall logs. Log data provides a wealth of information on who connects to network assets. These logs can help network administrators identify performance bottlenecks and security vulnerabilities that would otherwise go unnoticed. Investigating cyberattacks. When threat actors successfully breach network assets, they can leave behind valuable data. Firewall analysis can help pinpoint the vulnerabilities they exploited, providing security teams with the data they need to prevent future attacks. Conducting forensic analysis on known threats. Network traffic analysis can help security teams track down ransomware and malware attacks. An organization can only commit resources to closing its security gaps after a security professional maps out the killchain used by threat actors to compromise network assets. Key Integrations Firewall analysis tools provide maximum value when integrated with other security tools into a coherent, unified platform. Security information and event management (SIEM) tools allow you to orchestrate network traffic analysis automations with machine learning-enabled workflows to enable near-instant detection and response. Deploying SIEM capabilities in this context allows you to correlate data from different sources and draw logs from devices across every corner of the organization – including its firewalls. By integrating this data into a unified, centrally managed system, security professionals can gain real-time information on security threats as they emerge. AlgoSec’s Horizon Security Analyzer integrates seamlessly with leading SIEM solutions, allowing security teams to monitor, share, and update firewall configurations while enriching security event data with insights gleaned from firewall logs. Horizon Security Analyzer uses a REST API to transmit and receive data from SIEM platforms, allowing organizations to program automation into their firewall workflows and manage their deployments from their SIEM. Schedule a demo Related Articles Q1 at AlgoSec: What innovations and milestones defined our start to 2026? AlgoSec Reviews Mar 19, 2023 · 2 min read 2025 in review: What innovations and milestones defined AlgoSec’s transformative year in 2025? AlgoSec Reviews Mar 19, 2023 · 2 min read Navigating Compliance in the Cloud AlgoSec Cloud Mar 19, 2023 · 2 min read Speak to one of our experts Speak to one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Schedule a call

  • The state of hybrid and multi-cloud security policy management - AlgoSec

    The state of hybrid and multi-cloud security policy management Download PDF Download PDF Add a Title Add a Title Add a Title Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

  • AlgoSec | Network segmentation vs. VLAN explained

    Safeguarding the network architecture is the need of the hour. According to a study, the average cost of a data breach is at an all-time... Network Security Policy Management Network segmentation vs. VLAN explained Tsippi Dach 2 min read Tsippi Dach Short bio about author here Lorem ipsum dolor sit amet consectetur. Vitae donec tincidunt elementum quam laoreet duis sit enim. Duis mattis velit sit leo diam. Tags Share this article 8/9/23 Published Safeguarding the network architecture is the need of the hour. According to a study, the average cost of a data breach is at an all-time high of $4.35 million. And this figure will only increase with governments and regulators becoming ever stricter on data breaches. The go-to method IT administrators adopt to safeguard their networks is network segmentation. By segmenting a larger network into smaller chunks, it becomes much more manageable to secure the entire network. But network segmentation is a broad concept and doesn’t refer to a single procedure. In fact, there are several segmentation processes — one of them being VLAN. Instead of simplifying, this adds to the complexity. In this article, we will explain the core difference between network segmentation and VLAN and when you should opt for a particular one over the other. What is network segmentation? Let’s start with the definitions of network segmentation and VLAN. By definition, network segmentation is the practice of compartmentalizing a network according to firewall rules . In other words, it’s about dividing a computer network into subnetworks. The subnetworks, at the IP level, are known as subnets. Each of the subnets then works independently and in isolation. Think of how a nation is split into various states and provinces for better management at the local level. Running an entire nation at the federal level is too much work. In addition to subnetting, there are other segmentation options like firewall segmentation and SDN (Software Defined Network) segmentation. But for this article’s sake, we will focus on subnets since those are the most common. What is VLAN? VLAN or Virtual LAN (Virtual Local Area Network) is also a type of network segmentation approach where the main physical network is divided into multiple smaller virtual networks. The division is done logically or virtually, not requiring buying additional physical resources. The same resource is divided using computer logic. There are several benefits to dividing the parts of the network, either using VLAN segmentation or subnet techniques. Some of them are: Broadcast domain isolation Both subnets and VLAN isolate broadcast domains. This way, broadcasting network traffic is contained in a single segment instead of being exposed to the entire network. This reduces the chance of network congestion during peak hours and unnecessary server overload, thereby maximizing efficiency. Enhanced security The isolation by subnets or VLAN enhances the IT network’s security policies. This is achieved through various factors that are at play. But primarily, the creation of subnetworks makes the flat network more secure. With multiple subnetworks, you can regulate the security parameters. Thus, those subnets containing critical data (like that of healthcare) can have enhanced cybersecurity measures more than others, making them harder to crack. So, from a security perspective, both subnets and VLAN are a must. Better network management With digitization and IT modernization, the IT infrastructure is growing. Concurrently, it’s getting harder to manage them. Microsegmentation is one way of managing the ever-growing infrastructure. By segmenting, you can deploy teams to each segment, thereby strengthening their management and accountability. With the implementation of SDN, you can even configure and automate the management of some of the subnetworks. Flexibility in scalability Many network administrators face network performance and scalability issues expanding resources. The issues are a mix of technical and economical. Network segmentation offers a solution to such issues. By segmenting the entire data center network, you can choose which segments to expand and control the resources granted to each segment. This also makes scalability more economical. While both offer scalability opportunities, VLAN offers superior functionality than subnets. Reduced scope of compliance Compliance is another area that IT execs need to work on. And network segmentation, either via subnets or VLAN, can help in this regard. By having subnets, you don’t have to audit your entire segmented network as required by regulators. Just audit the necessary subnets and submit the reports to the regulators for approval. This takes far less time and costs significantly less than auditing the entire network. Differences between network segmentation and VLAN By definition, network segmentation (subnetting) and VLAN sound pretty similar. After all, there’s a division of the main network into subnetworks or smaller networks. But besides the core similarities mentioned above, there are a few critical differences. Let’s dive into the differences between the two. The primary difference between the two subnets are layer 3 divisions, while VLANs are layer 2 divisions. As you may recall, networks are layer 1 (device), layer 2 (data link), layer 3 (IP, routers), and so on, up to layer 7 (application). TCP/IP is the newer framework with four layers only. So, when you divide a network at a data link, you need to adopt VLAN. With VLAN, several networks exist on the same physical network but may not be connected to the same fiber switch. In subnets, the division occurs at IP level. Thus, the independent subnets are assigned their IP addresses and communicate with others over layer 3. Besides this significant difference, there are other dissimilarities you should know. Here’s a table to help you understand: VLAN Subnet 1 Divides the network within the same physical network using logic. Divides the IP network into multiple IP networks 2 VLANs communicate with other devices within the same LAN The communication between the subnets is carried out over layer 3 3 It is configured at the switch side It is configured at IP level 4 VLAN divisions are software-based terminology since they’re divided logically. Subnets can be both hardware- of software-based 5 VLAN provides better network access and tend to be more stable Subnets offer limited control When to adopt a subnet? There are use cases when subnets are more suited, while there are cases when you’re better off with Virtual LANs. As per the definition, you need to adopt a subnet when dividing different networks at IP level. So, if you want to create multiple IP addresses for each partition, implement subnets. The subnets are essentially networks within a network with their own IP addresses. Thus, they divide the broadcast domain and improve speed and efficiency. Subnets are also the go-to segmentation method when you need to make the sub-networks available over layer 3 to the outside world. With appropriate access control lists, anyone with an internet connection would be able to access the subnets But subnetting is also used to prevent access to a particular subnet. For example, you may want to limit access to the company’s software codebase to anyone outside the development department. So, only network devices with approved IP addresses used by the developer network are approved to access the codebase. But there are two downsides to subnets you should know. The first one is increased time complexity. When dealing with a single network, three steps are in place to reach the Process (Source Host, Destination Network, and Process). In subnets, there’s an additional step involved (Source Host, Destination Network, Subnet, Process). This extra step increases time complexity, requiring more time for data transfer and connectivity. It also affects stability. Subnetting also increases the number of IP addresses required since each subnet requires its own IP address. This can become hard to manage over time. When to adopt VLAN? Virtual LANs are internal networks within the same physical network. They interact with one another, not with other devices on the same network or outside the world. Think of VLAN as a private wireless network at home. Your neighbors don’t have access to it, but everyone in your home has. If that sounds like your desired result, you should adopt VLAN. There are three types of VLANs (basic, extended, and tagged). In basic VLAN, you assign IDs to each switch port or PCI . Once assigned, you can’t change them. Extended VLAN has more functionalities like priority-based routing. Lastly, tagged VLAN enables you to create multiple VLANs with IEEE 802.1Q. The main advantages of different VLANs over subnet are speed and stability. Since endpoints do not have to resolve IP addresses every time, they tend to be faster. But there’s a significant disadvantage to VLANs: It’s easier to breach multiple partitions if there’s a malicious injection. Without proper network security controls, it is easier to exploit vulnerabilities using malware and ransomware , putting your entire network at risk. Having ACLs (access control lists) can help in such situations. Furthermore, there are issues arising out of physical store requirements. Connecting two segments in VLAN requires you to use routers and IoT. Routers are physical devices that take up space. The more segments you create, the more routers you need to use. Over time, management can become an issue. The bottom line Both subnets and VLANs are network segmentation approaches that improve security and workload management. It’s not a given that you can’t have both. Some companies benefit from the implementation of VLAN and subnets simultaneously. But there are specific times when IT service providers prefer one over the other. Consider your requirements to select the approach that’s right for you. Schedule a demo Related Articles Q1 at AlgoSec: What innovations and milestones defined our start to 2026? AlgoSec Reviews Mar 19, 2023 · 2 min read 2025 in review: What innovations and milestones defined AlgoSec’s transformative year in 2025? AlgoSec Reviews Mar 19, 2023 · 2 min read Navigating Compliance in the Cloud AlgoSec Cloud Mar 19, 2023 · 2 min read Speak to one of our experts Speak to one of our experts Work email* First name* Last name* Company* country* Select country... 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  • AlgoSec | Avoid the Traps: What You Need to Know About PCI Requirement 1 (Part 3)

    So we’ve made it to the last part of our blog series on PCI 3.0 Requirement 1. The first two posts covered Requirement 1.1... Auditing and Compliance Avoid the Traps: What You Need to Know About PCI Requirement 1 (Part 3) Matthew Pascucci 2 min read Matthew Pascucci Short bio about author here Lorem ipsum dolor sit amet consectetur. Vitae donec tincidunt elementum quam laoreet duis sit enim. Duis mattis velit sit leo diam. Tags Share this article 9/9/14 Published So we’ve made it to the last part of our blog series on PCI 3.0 Requirement 1. The first two posts covered Requirement 1.1 (appropriate firewall and router configurations) and 1.2 (restrict connections between untrusted networks and any system components in the cardholder data environment) and in this final post we’ll discuss key requirements of Requirements 1.3 -1.5 and I’ll again give you my insight to help you understand the implications of these requirements and how to comply with them. Implement a DMZ to limit inbound traffic to only system components that provide authorized publicly accessible services, protocols, and ports (1.3.1.): The DMZ is used to publish services such as HTTP and HTTPS to the internet and allow external entities to access these services. But the key point here is that you don’t need to open every port on the DMZ. This requirement verifies that a company has a DMZ implemented and that inbound activity is limited to only the required protocols and ports. Limit inbound Internet traffic to IP addresses within the DMZ (1.3.2): This is a similar requirement to 1.3.1, however instead of looking for protocols, the requirement focuses on the IPs that the protocol is able to access. In this case, just because you might need HTTP open to a web server, doesn’t mean that all systems should have external port 80 open to inbound traffic. Do not allow any direct connections inbound or outbound for traffic between the Internet and the cardholder data environment (1.3.3): This requirement verifies that there isn’t unfiltered access, either going into the CDE or leaving it, which means that all traffic that traverses this network must pass through a firewall. All unwanted traffic should be blocked and all allowed traffic should be permitted based on an explicit source/destination/protocol. There should never be a time that someone can enter or leave the CDE without first being inspected by a firewall of some type. Implement anti-spoofing measures to detect and block forged source IP addresses from entering the network (1.3.4): In an attempt to bypass your firewall, cyber attackers will try and spoof packets using the internal IP range of your network to make it look like the request originated internally. Enabling the IP spoofing feature on your firewall will help prevent these types of attacks. Do not allow unauthorized outbound traffic from the cardholder data environment to the Internet (1.3.5): Similar to 1.3.3, this requirement assumes that you don’t have direct outbound access to the internet without a firewall. However in the event that a system has filtered egress access to the internet the QSA will want to understand why this access is needed, and whether there are controls in place to ensure that sensitive data cannot be transmitted outbound. Implement stateful inspection, also known as dynamic packet filtering (1.3.6): If you’re running a modern firewall this feature is most likely already configured by default. With stateful inspection, the firewall maintains a state table which includes all the connections that traverse the firewall, and it knows if there’s a valid response from the current connection. It is used to stop attackers from trying to trick a firewall into initiating a request that didn’t previously exist. Place system components that store cardholder data (such as a database) in an internal network zone, segregated from the DMZ and other untrusted networks (1.3.7): Attackers are looking for your card holder database. Therefore, it shouldn’t be stored within the DMZ. The DMZ should be considered an untrusted network and segregated from the rest of the network. By having the database on the internal network provides another layer of protection against unwanted access. [Also see my suggestions for designing and securing you DMZ in my previous blog series: The Ideal Network Security Perimeter Design: Examining the DMZ Do not disclose private IP addresses and routing information to unauthorized parties (1.3.8): There should be methods in place to prevent your internal IP address scheme from being leaked outside your company. Attackers are looking for any information on how to breach your network, and giving them your internal address scheme is just one less thing they need to learn. You can stop this by using NAT, proxy servers, etc. to limit what can be seen from the outside. Install personal firewall software on any mobile and/or employee-owned devices that connect to the Internet when outside the network (for example, laptops used by employees), and which are also used to access the network (1.4): Mobile devices, such as laptops, that can connect to both the internal network and externally, should have a personal firewall configured with rules that prevent malicious software or attackers from communicating with the device. These firewalls need to be configured so that their rulebase can never be stopped or changed by anyone other than an administrator. Ensure that security policies and operational procedures for managing firewalls are documented, in use, and known to all affected parties (1.5): There needs to be a unified policy regarding firewall maintenance including how maintenance procedures are performed, who has access to the firewall and when maintenance is scheduled. Well, that’s it! Hopefully, my posts have given you a better insight into what is actually required in Requirement 1 and what you need to do to comply with it. Schedule a demo Related Articles Q1 at AlgoSec: What innovations and milestones defined our start to 2026? AlgoSec Reviews Mar 19, 2023 · 2 min read 2025 in review: What innovations and milestones defined AlgoSec’s transformative year in 2025? AlgoSec Reviews Mar 19, 2023 · 2 min read Navigating Compliance in the Cloud AlgoSec Cloud Mar 19, 2023 · 2 min read Speak to one of our experts Speak to one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Schedule a call

  • AlgoSec SaaS Services - Security Practices - AlgoSec

    AlgoSec SaaS Services - Security Practices Download PDF Download PDF Add a Title Add a Title Add a Title Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

  • Zero trust vs micro segmentation

    Zero trust vs micro segmentation Select a size Which network Can AlgoSec be used for continuous compliance monitoring? Yes, AlgoSec supports continuous compliance monitoring. As organizations adapt their security policies to meet emerging threats and address new vulnerabilities, they must constantly verify these changes against the compliance frameworks they subscribe to. AlgoSec can generate risk assessment reports and conduct internal audits on-demand, allowing compliance officers to monitor compliance performance in real-time. Security professionals can also use AlgoSec to preview and simulate proposed changes to the organization’s security policies. This gives compliance officers a valuable degree of lead-time before planned changes impact regulatory guidelines and allows for continuous real-time monitoring. Microsegmentation Zero Trust: How Microsegmentation Drives Zero Trust Success Microsegmentation zero trust is the practice of enforcing zero trust principles through fine‑grained, application‑aware segmentation at the workload and service level. Companies today are turning to microsegmentation, a granular form of network segmentation, to contain attacks quickly, prove least‑privilege access, and simplify compliance across hybrid environments. Despite still having to spend an average of $4.4 million per breach, according to IBM's Cost of a Data Breach Report 2025 , this is 9% lower than 2024. That drop ties directly to faster identification and containment—outcomes microsegmentation accelerates by limiting lateral movement and shrinking the blast radius from the first indicator of compromise. In yet another study, Verizon’s 2025 Data Breach Investigations Report , more than 12,000 confirmed breaches demonstrated how multi-stage intrusions use lateral movement, which microsegmentation technology directly addresses. Meanwhile, the Payment Card Industry Data Security Standard (PCI DSS) requires network segmentation for system scope reduction, which leads to decreased audit work and better system isolation. Taken together, these findings underscore a simple point: Organizations need application‑aware controls—specifically microsegmentation—to stop attackers from moving between systems and to operationalize zero trust. This article discusses the zero trust vs. micro‑segmentation debate, explains how zero trust and microsegmentation in fact work together, and provides a path to design, enforce, and operate this approach. What Is Microsegmentation? Microsegmentation divides networks into small, secure domains that match workload requirements and user/service identities with explicit allow‑rules to stop lateral movement. Network security today benefits from application-based boundaries, i.e., policies applied where applications actually communicate—not just subnets and VLANS. In practice, that means protecting individual workloads and the communication between them across data centers, public clouds, containers, and endpoints—rather than vaguely “protecting components” or “locations.” What Is the Difference Between Traditional (Macro) and Micro-Segmentation This comparison comes down to a difference in approach: Macro-segmentation uses broad VLANs and subnets or DMZs to divide network tiers; while this provides limited east-west control, it is simpler to design. Micro-segmentation uses SDN and host agents, as well as cloud security groups; application-specific policies are enforced at the workload/service boundary, which is why they are the engine of microsegmentation zero trust. What Role Do Firewalls and Network Segmentation Layers Play in Microsegmentation? Your existing perimeter and internal firewalls provide north‑south control, compliance zones, and enforcement points that microsegmentation can orchestrate. In other words, microsegmentation complements firewalls and network segmentation layers—it does not replace them. Extending the point above: Microsegmentation orchestrates those firewall and segmentation layers to deploy least‑privilege across hybrid systems—specifically: Cloud security groups NACLs SDN fabrics Kubernetes policies Host-based controls Since these layers are complementary, they collectively shrink the blast radius. What Is Zero Trust? Zero trust is a security concept, not a product or service. The system uses identity-based dynamic authorization, which takes into account device health status and environmental context—instead of traditional static location-based access methods. Verification is continuous because environments and risk conditions evolve. Zero trust verifies every access decision—no implicit trust—and enforces least privilege Zero Trust vs. Micro‑Segmentation: Complementary Forces While zero trust operates as an operational framework, microsegmentation functions as an implementation methodology. While zero trust explains what needs protection and which aspects require protection, microsegmentation provides the how. The table below breaks down the two concepts across key parameters. Aspect Zero Trust (Strategy) Microsegmentation (Mechanism) Focus Identity, posture, continuous verification Allowed app/workload flows Scope Enterprise‑wide architecture App tiers, services, identities Enforcement Policies derived from context and risk SDN, host agents, security groups, firewalls Outcome Minimized implicit trust; provable least‑privilege Contained blast radius; fewer lateral‑movement paths What Is Microsegmentation Zero Trust? The combination of zero trust and microsegmentation forms microsegmentation zero trust—a strategy connected to enforcement. The three primary goals of this approach are: Risk reduction Lateral movement prevention Least privilege verification Microsegmentation zero trust applies zero trust principles—continuous verification and least privilege—by defining and enforcing explicit, application‑aware allow‑rules between identities, services, and workloads. Why Does Microsegmentation Zero Trust Matter? It matters because it measurably reduces lateral movement paths and speeds incident containment. Authorized paths are explicitly permitted communication flows (service A to service B on port X from an approved identity) that have been validated as necessary for the application to function. Pre‑defining and testing these authorized paths speeds deployment because changes ship with pre-validated, least‑privilege policies—reducing last‑minute firewall rework, minimizing approvals, and preventing rollback from unexpected blocks. Implementing Microsegmentation to Achieve Zero Trust Microsegmentation is a continuous process, consisting of multiple stages to successfully achieve zero trust. Asset & Dependency Discovery Start by analyzing the network traffic behavior of applications and workloads in traditional on-premises setups, public clouds, and container environments. This application-first view serves as the base for zero trust segmentation, which stops security gaps from occurring. Policy Creation Create allow‑lists for individual app components and identity groups based on observed application traffic flows (sources/destinations, ports, processes) and documented business requirements, then validate with “what‑if” simulations before production. Enforcement Implement the approved policy through current controls—cloud security groups, firewalls, SDN fabrics, host controls, and Kubernetes—to achieve uniform protection across hybrid and multi-cloud systems. Continuous Monitoring & Adaptive Policy Continuously monitor for drift, prune unused rules, and adjust policies using detection data—without re‑introducing broad implicit trust or “allow any” access. Challenges & Pitfalls to Avoid Security organizations that operate effectively still encounter various obstacles when implementing microsegmentation: Lack of visibility in application maps: When third-party or SaaS endpoints and ephemeral services (containers, serverless functions) are not properly documented, visibility suffers. The fix? Run continuous dependency discovery operations while keeping tags and labels up to date. Focusing solely on network-based controls: Ignoring workload and identity context can weaken your security measures. The fix? Use service accounts, workload identities, namespaces, and labels as the basis for policy connections whenever possible. Relying on a single technology: Depending only on firewalls or security groups can create gaps in your security posture. The fix? Implement security orchestration using a combination of firewalls, SDN security groups, and Kubernetes network policies. Manual exception handling: Human intervention creates delays, slowing down release cycles. The fix? Orchestrate a combination of controls—next‑gen firewalls, SDN fabrics, cloud security groups, and Kubernetes network policy—so each layer covers the others. AlgoSec's Microsegmentation‑Driven Zero Trust Platform In today's fast-paced digital landscape, the combination of speed and safety is not just important—it's imperative. Zero Trust security delivered by AlgoSec’s unified platform enables companies to successfully implement microsegmentation across data centers, clouds, and Kubernetes. The platform begins with an application-first method, allowing users to clearly see their workloads and intricate patterns. AlgoSec provides immediate connectivity between different environments—on-premises systems, public clouds, and containers—to detect lateral movement paths and compliance issues fast. Beyond basic observability, AlgoSec maps security policy to business applications and services so that teams can simulate proposed changes, quantify risk in business terms, and validate least‑privilege before anything reaches production.. This proactive method validates the least privilege principle, protecting against security breaches and outages. AlgoSec integrates with next-generation firewalls, SDN fabrics and cloud security groups, and Kubernetes to enforce the same intent everywhere, orchestrating changes so rules remain consistent across hybrid and multi‑cloud environments. To see microsegmentation zero trust in action with AlgoSec, schedule a demo today. Get the latest insights from the experts Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

  • Micro-segmentation – from Strategy to Execution | AlgoSec

    A ZeroTrust network architecture mitigates risk by only providing the minimally required access to your network resources But implementing it is easier said than done Webinars Micro-segmentation – from Strategy to Execution Organizations heavily invest in security solutions to keep their networks safe, but still struggle to close the security gaps. Micro-segmentation helps protect against the lateral movement of malware and minimizes the risk of insider threats. Micro-segmentation has received lots of attention as a possible solution, but many IT security professionals aren’t sure where to begin or what approach to take. In this practical webinar, Prof. Avishai Wool, AlgoSec’s CTO and co-founder will guide you through each stage of a micro-segmentation project – from developing the correct micro-segmentation strategy to effectively implementing it and continually maintaining your micro-segmented network. Register now for this live webinar and get a practical blueprint to creating your micro-segmentation policy: What is micro-segmentation. Common pitfalls in micro-segmentation projects and how to avoid them. The stages of a successful micro-segmentation project. The role of policy change management and automation in micro-segmentation. Don’t forget to also click on the links in the Attachments tab. July 7, 2020 Prof. Avishai Wool CTO & Co Founder AlgoSec Relevant resources Microsegmentation Defining Logical Segments Watch Video Micro-Segmentation based Network Security Strategies Keep Reading Choose a better way to manage your network Choose a better way to manage your network Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

  • Partner solution brief AlgoSec and AWS - AlgoSec

    Partner solution brief AlgoSec and AWS Download PDF Download PDF Add a Title Add a Title Add a Title Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

  • AlgoSec | The Application Migration Checklist

    All organizations eventually inherit outdated technology infrastructure. As new technology becomes available, old apps and services... Firewall Change Management The Application Migration Checklist Asher Benbenisty 2 min read Asher Benbenisty Short bio about author here Lorem ipsum dolor sit amet consectetur. Vitae donec tincidunt elementum quam laoreet duis sit enim. Duis mattis velit sit leo diam. Tags Share this article 10/25/23 Published All organizations eventually inherit outdated technology infrastructure. As new technology becomes available, old apps and services become increasingly expensive to maintain. That expense can come in a variety of forms: Decreased productivity compared to competitors using more modern IT solutions. Greater difficulty scaling IT asset deployments and managing the device life cycle . Security and downtime risks coming from new vulnerabilities and emerging threats. Cloud computing is one of the most significant developments of the past decade. Organizations are increasingly moving their legacy IT assets to new environments hosted on cloud services like Amazon Web Services or Microsoft Azure. Cloud migration projects enable organizations to dramatically improve productivity, scalability, and security by transforming on-premises applications to cloud-hosted solutions. However, cloud migration projects are among the most complex undertakings an organization can attempt. Some reports state that nine out of ten migration projects experience failure or disruption at some point, and only one out of four meet their proposed deadlines. The better prepared you are for your application migration project , the more likely it is to succeed. Keep the following migration checklist handy while pursuing this kind of initiative at your company. Step 1: Assessing Your Applications The more you know about your legacy applications and their characteristics, the more comprehensive you can be with pre-migration planning. Start by identifying the legacy applications that you want to move to the cloud. Pay close attention to the dependencies that your legacy applications have. You will need to ensure the availability of those resources in an IT environment that is very different from the typical on-premises data center. You may need to configure cloud-hosted resources to meet specific needs that are unique to your organization and its network architecture. Evaluate the criticality of each legacy application you plan on migrating to the cloud. You will have to prioritize certain applications over others, minimizing disruption while ensuring the cloud-hosted infrastructure can support the workload you are moving to. There is no one-size-fits-all solution to application migration. The inventory assessment may bring new information to light and force you to change your initial approach. It’s best that you make these accommodations now rather than halfway through the application migration project. Step 2: Choosing the Right Migration Strategy Once you know what applications you want to move to the cloud and what additional dependencies must be addressed for them to work properly, you’re ready to select a migration strategy. These are generalized models that indicate how you’ll transition on-premises applications to cloud-hosted ones in the context of your specific IT environment. Some of the options you should gain familiarity with include: Lift and Shift (Rehosting). This option enables you to automate the migration process using tools like CloudEndure Migration, AWS VM Import/Export, and others. The lift and shift model is well-suited to organizations that need to migrate compatible large-scale enterprise applications without too many additional dependencies, or organizations that are new to the cloud. Replatforming. This is a modified version of the lift and shift model. Essentially, it introduces an additional step where you change the configuration of legacy apps to make them better-suited to the cloud environment. By adding a modernization phase to the process, you can leverage more of the cloud’s unique benefits and migrate more complex apps. Refactoring/Re-architecting. This strategy involves rewriting applications from scratch to make them cloud-native. This allows you to reap the full benefits of cloud technology. Your new applications will be scalable, efficient, and agile to the maximum degree possible. However, it’s a time-consuming, resource-intensive project that introduces significant business risk into the equation. Repurchasing. This is where the organization implements a fully mature cloud architecture as a managed service. It typically relies on a vendor offering cloud migration through the software-as-a-service (SaaS) model. You will need to pay licensing fees, but the technical details of the migration process will largely be the vendor’s responsibility. This is an easy way to add cloud functionality to existing business processes, but it also comes with the risk of vendor lock-in. Step 3: Building Your Migration Team The success of your project relies on creating and leading a migration team that can respond to the needs of the project at every step. There will be obstacles and unexpected issues along the way – a high-quality team with great leadership is crucial for handling those problems when they arise. Before going into the specifics of assembling a great migration team, you’ll need to identify the key stakeholders who have an interest in seeing the project through. This is extremely important because those stakeholders will want to see their interests represented at the team level. If you neglect to represent a major stakeholder at the team level, you run the risk of having major, expensive project milestones rejected later on. Not all stakeholders will have the same level of involvement, and few will share the same values and goals. Managing them effectively means prioritizing the values and goals they represent, and choosing team members accordingly. Your migration team will consist of systems administrators, technical experts, and security practitioners, and include input from many other departments. You’ll need to formalize a system of communicating inside the core team and messaging stakeholders outside of it. You may also wish to involve end users as a distinct part of your migration team and dedicate time to addressing their concerns throughout the process. Keep team members’ stakeholder alignments and interests in mind when assigning responsibilities. For example, if a particular configuration step requires approval from the finance department, you’ll want to make sure that someone representing that department is involved from the beginning. Step 4: Creating a Migration Plan It’s crucial that every migration project follows a comprehensive plan informed by the needs of the organization itself. Organizations pursue cloud migration for many different reasons – your plan should address the problems you expect cloud-hosted technology to solve. This might mean focusing on reducing costs, enabling entry into a new market, or increasing business agility – or all three. You may have additional reasons for pursuing an application migration plan. This plan should also include data mapping . Choosing the right application performance metrics now will help make the decision-making process much easier down the line. Some of the data points that cloud migration specialists recommend capturing include: Duration highlights the value of employee labor-hours as they perform tasks throughout the process. Operational duration metrics can tell you how much time project managers spend planning the migration process, or whether one phase is taking much longer than another, and why. Disruption metrics can help identify user experience issues that become obstacles to onboarding and full adoption. Collecting data about the availability of critical services and the number of service tickets generated throughout the process can help you gauge the overall success of the initiative from the user’s perspective. Cost includes more than data transfer rates. Application migration initiatives also require creating dependency mappings, changing applications to make them cloud-native, and significant administrative costs. Up to 50% of your migration’s costs pay for labor , and you’ll want to keep close tabs on those costs as the process goes on. Infrastructure metrics like CPU usage, memory usage, network latency, and load balancing are best captured both before and after the project takes place. This will let you understand and communicate the value of the project in its entirety using straightforward comparisons. Application performance metrics like availability figures, error rates, time-outs and throughput will help you calculate the value of the migration process as a whole. This is another post-cloud migration metric that can provide useful before-and-after data. You will also want to establish a series of cloud service-level agreements (SLAs) that ensure a predictable minimum level of service is maintained. This is an important guarantee of the reliability and availability of the cloud-hosted resources you expect to use on a daily basis. Step 5: Mapping Dependencies Mapping dependencies completely and accurately is critical to the success of any migration project. If you don’t have all the elements in your software ecosystem identified correctly, you won’t be able to guarantee that your applications will work in the new environment. Application dependency mapping will help you pinpoint which resources your apps need and allow you to make those resources available. You’ll need to discover and assess every workload your organization undertakes and map out the resources and services it relies on. This process can be automated, which will help large-scale enterprises create accurate maps of complex interdependent processes. In most cases, the mapping process will reveal clusters of applications and services that need to be migrated together. You will have to identify the appropriate windows of opportunity for performing these migrations without disrupting the workloads they process. This often means managing data transfer and database migration tasks and carrying them out in a carefully orchestrated sequence. You may also discover connectivity and VPN requirements that need to be addressed early on. For example, you may need to establish protocols for private access and delegate responsibility for managing connections to someone on your team. Project stakeholders may have additional connectivity needs, like VPN functionality for securing remote connections. These should be reflected in the application dependency mapping process. Multi-cloud compatibility is another issue that will demand your attention at this stage. If your organization plans on using multiple cloud providers and configuring them to run workloads specific to their platform, you will need to make sure that the results of these processes are communicated and stored in compatible formats. Step 6: Selecting a Cloud Provider Once you fully understand the scope and requirements of your application migration project, you can begin comparing cloud providers. Amazon, Microsoft, and Google make up the majority of all public cloud deployments, and the vast majority of organizations start their search with one of these three. Amazon AW S has the largest market share, thanks to starting its cloud infrastructure business several years before its major competitors did. Amazon’s head start makes finding specialist talent easier, since more potential candidates will have familiarity with AWS than with Azure or Google Cloud. Many different vendors offer services through AWS, making it a good choice for cloud deployments that rely on multiple services and third-party subscriptions. Microsoft Azure has a longer history serving enterprise customers, even though its cloud computing division is smaller and younger than Amazon’s. Azure offers a relatively easy transition path that helps enterprise organizations migrate to the cloud without adding a large number of additional vendors to the process. This can help streamline complex cloud deployments, but also increases your reliance on Microsoft as your primary vendor. Google Cloud is the third runner-up in terms of market share. It continues to invest in cloud technologies and is responsible for a few major innovations in the space – like the Kubernetes container orchestration system. Google integrates well with third-party applications and provides a robust set of APIs for high-impact processes like translation and speech recognition. Your organization’s needs will dictate which of the major cloud providers offers the best value. Each provider has a different pricing model, which will impact how your organization arrives at a cost-effective solution. Cloud pricing varies based on customer specifications, usage, and SLAs, which means no single provider is necessarily “the cheapest” or “the most expensive” – it depends on the context. Additional cost considerations you’ll want to take into account include scalability and uptime guarantees. As your organization grows, you will need to expand its cloud infrastructure to accommodate more resource-intensive tasks. This will impact the cost of your cloud subscription in the future. Similarly, your vendor’s uptime guarantee can be a strong indicator of how invested it is in your success. Given all vendors work on the shared responsibility model, it may be prudent to consider an enterprise data backup solution for peace of mind. Step 7: Application Refactoring If you choose to invest time and resources into refactoring applications for the cloud, you’ll need to consider how this impacts the overall project. Modifying existing software to take advantage of cloud-based technologies can dramatically improve the efficiency of your tech stack, but it will involve significant risk and up-front costs. Some of the advantages of refactoring include: Reduced long-term costs. Developers refactor apps with a specific context in mind. The refactored app can be configured to accommodate the resource requirements of the new environment in a very specific manner. This boosts the overall return of investing in application refactoring in the long term and makes the deployment more scalable overall. Greater adaptability when requirements change . If your organization frequently adapts to changing business requirements, refactored applications may provide a flexible platform for accommodating unexpected changes. This makes refactoring attractive for businesses in highly regulated industries, or in scenarios with heightened uncertainty. Improved application resilience . Your cloud-native applications will be decoupled from their original infrastructure. This means that they can take full advantage of the benefits that cloud-hosted technology offers. Features like low-cost redundancy, high-availability, and security automation are much easier to implement with cloud-native apps. Some of the drawbacks you should be aware of include: Vendor lock-in risks . As your apps become cloud-native, they will naturally draw on cloud features that enhance their capabilities. They will end up tightly coupled to the cloud platform you use. You may reach a point where withdrawing those apps and migrating them to a different provider becomes infeasible, or impossible. Time and talent requirements . This process takes a great deal of time and specialist expertise. If your organization doesn’t have ample amounts of both, the process may end up taking too long and costing too much to be feasible. Errors and vulnerabilities . Refactoring involves making major changes to the way applications work. If errors work their way in at this stage, it can deeply impact the usability and security of the workload itself. Organizations can use cloud-based templates to address some of these risks, but it will take comprehensive visibility into how applications interact with cloud security policies to close every gap. Step 8: Data Migration There are many factors to take into consideration when moving data from legacy applications to cloud-native apps. Some of the things you’ll need to plan for include: Selecting the appropriate data transfer method . This depends on how much time you have available for completing the migration, and how well you plan for potential disruptions during the process. If you are moving significant amounts of data through the public internet, sidelining your regular internet connection may be unwise. Offline transfer doesn’t come with this risk, but it will include additional costs. Ensuring data center compatibility. Whether transferring data online or offline, compatibility issues can lead to complex problems and expensive downtime if not properly addressed. Your migration strategy should include a data migration testing strategy that ensures all of your data is properly formatted and ready to use the moment it is introduced to the new environment. Utilizing migration tools for smooth data transfer . The three major cloud providers all offer cloud migration tools with multiple tiers and services. You may need to use these tools to guarantee a smooth transfer experience, or rely on a third-party partner for this step in the process. Step 9: Configuring the Cloud Environment By the time your data arrives in its new environment, you will need to have virtual machines and resources set up to seamlessly take over your application workloads and processes. At the same time, you’ll need a comprehensive set of security policies enforced by firewall rules that address the risks unique to cloud-hosted infrastructure. As with many other steps in this checklist, you’ll want to carefully assess, plan, and test your virtual machine deployments before deploying them in a live production environment. Gather information about your source and target environment and document the workloads you wish to migrate. Set up a test environment you can use to make sure your new apps function as expected before clearing them for live production. Similarly, you may need to configure and change firewall rules frequently during the migration process. Make sure that your new deployments are secured with reliable, well-documented security policies. If you skip the documentation phase of building your firewall policy, you run the risk of introducing security vulnerabilities into the cloud environment, and it will be very difficult for you to identify and address them later on. You will also need to configure and deploy network interfaces that dictate where and when your cloud environment will interact with other networks, both inside and outside your organization. This is your chance to implement secure network segmentation that protects mission-critical assets from advanced and persistent cyberattacks. This is also the best time to implement disaster recovery mechanisms that you can rely on to provide business continuity even if mission-critical assets and apps experience unexpected downtime. Step 10: Automating Workflows Once your data and apps are fully deployed on secure cloud-hosted infrastructure, you can begin taking advantage of the suite of automation features your cloud provider offers. Depending on your choice of migration strategy, you may be able to automate repetitive tasks, streamline post-migration processes, or enhance the productivity of entire departments using sophisticated automation tools. In most cases, automating routine tasks will be your first priority. These automations are among the simplest to configure because they largely involve high-volume, low-impact tasks. Ideally, these tasks are also isolated from mission-critical decision-making processes. If you established a robust set of key performance indicators earlier on in the migration project, you can also automate post-migration processes that involve capturing and reporting these data points. Your apps will need to continue ingesting and processing data, making data validation another prime candidate for workflow automation. Cloud-native apps can ingest data from a wide range of sources, but they often need some form of validation and normalization to produce predictable results. Ongoing testing and refinement will help you make the most of your migration project moving forward. How AlgoSec Enables Secure Application Migration Visibility and Di scovery : AlgoSec provide s comprehensive visibility into your existing on-premises network environment. It automatically discovers all network devices, applications, and their dependencies. This visibility is crucial when planning a secure migration, ensuring no critical elements get overlooked in the process. Application Dependency Mapping : AlgoSec’s application dependency mapping capabilities allow you to understand how different applications and services interact within your network. This knowledge is vital during migration to avoid disrupting critical dependencies. Risk Assessment : AlgoSec assesses the security and compliance risks associated with your migration plan. It identifies potential vulnerabilities, misconfigurations, and compliance violations that could impact the security of the migrated applications. Security Policy Analysis : Before migrating, AlgoSec helps you analyze your existing security policies and rules. It ensures that security policies are consistent and effective in the new cloud or data center environment. Misconfigurations and unnecessary rules can be eliminated, reducing the attack surface. Automated Rule Optimiz ation : AlgoSec automates the o ptimization of security rules. It identifies redundant rules, suggests rule consolidations, and ensures that only necessary traffic is allowed, helping you maintain a secure environment during migration. Change Management : During the migration process, changes to security policies and firewall rules are often necessary. AlgoSec facilitates change management by providing a streamlined process for requesting, reviewing, and implementing rule changes. This ensures that security remains intact throughout the migration. Compliance and Governance : AlgoSec helps maintain compliance with industry regulations and security best practices. It generates compliance reports, ensures rule consistency, and enforces security policies, even in the new cloud or data center environment. Continuous Monitoring and Auditing : Post-migration, AlgoSec continues to monitor and audit your security policies and network traffic. It alerts you to any anomalies or security breaches, ensuring the ongoing security of your migrated applications. Integration with Cloud Platforms : AlgoSec integrates seamlessly with various cloud platforms such as AWS , Microsoft Azure , and Google Cloud . This ensures that security policies are consistently applied in both on-premises and cloud environments, enabling a secure hybrid or multi-cloud setup. Operational Efficiency : AlgoSec’s automation capabilities reduce manual tasks, improving operational efficiency. This is essential during the migration process, where time is often of the essence. Real-time Visibility and Control : AlgoSec provides real-time visibility and control over your security policies, allowing you to adapt quickly to changing migration requirements and security threats. Schedule a demo Related Articles Q1 at AlgoSec: What innovations and milestones defined our start to 2026? AlgoSec Reviews Mar 19, 2023 · 2 min read 2025 in review: What innovations and milestones defined AlgoSec’s transformative year in 2025? AlgoSec Reviews Mar 19, 2023 · 2 min read Navigating Compliance in the Cloud AlgoSec Cloud Mar 19, 2023 · 2 min read Speak to one of our experts Speak to one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Schedule a call

  • AlgoSec | Your Complete Guide to Cloud Security Architecture

    In today’s digital world, is your data 100% secure? As more people and businesses use cloud services to handle their data, vulnerabilities multiply. Around six out of ten companies have moved to the cloud, according to Statista. So keeping data safe is now a crucial concern for most large companies – in 2022, the average data leak cost companies $4.35 million. This is where cloud security architecture comes in. Done well, it protects cloud-based data from hackers, leaks, and other online... Cloud Security Your Complete Guide to Cloud Security Architecture Rony Moshkovich 2 min read Rony Moshkovich Short bio about author here Lorem ipsum dolor sit amet consectetur. Vitae donec tincidunt elementum quam laoreet duis sit enim. Duis mattis velit sit leo diam. Tags Share this article 7/4/23 Published In today’s digital world, is your data 100% secure? As more people and businesses use cloud services to handle their data, vulnerabilities multiply. Around six out of ten companies have moved to the cloud, according to Statista . So keeping data safe is now a crucial concern for most large companies – in 2022, the average data leak cost companies $4.35 million . This is where cloud security architecture comes in. Done well, it protects cloud-based data from hackers, leaks, and other online threats. To give you a thorough understanding of cloud security architecture, we’ll look at; What cloud security architecture is The top risks for your cloud How to build your cloud security How to choose a CPSM (Cloud Security Posture Management) tool Let’s jump in What is cloud security architecture? Let’s start with a definition: “Cloud security architecture is the umbrella term used to describe all hardware, software and infrastructure that protects the cloud environment and its components, such as data, workloads, containers, virtual machines and APIs.” ( source ) Cloud security architecture is a framework to protect data stored or used in the cloud. It includes ways to keep data safe, such as controlling access, encrypting sensitive information, and ensuring the network is secure. The framework has to be comprehensive because the cloud can be vulnerable to different types of attacks. Three key principles behind cloud security Although cloud security sounds complex, it can be broken down into three key ideas. These are known as the ‘CIA triad’, and they are; Confidentiality Integrity Availability ‘The CIA Triad’ Image source Confidentiality Confidentiality is concerned with data protection. If only the correct people can access important information, breaches will be reduced. There are many ways to do this, like encryption, access control, and user authentication. Integrity Integrity means making sure data stays accurate throughout its lifecycle. Organizations can use checksums and digital signatures to ensure that data doesn’t get changed or deleted. These protect against data corruption and make sure that information stays reliable. Availability Availability is about ensuring data and resources are available when people need them. To do this, you need a robust infrastructure and ways to switch to backup systems when required. Availability also means designing systems that can handle ‘dos attacks’ and will interrupt service. However, these three principles are just the start of a strong cloud infrastructure. The next step is for the cloud provider and customer to understand their security responsibilities. A model developed to do this is called the ‘Shared Responsibility Model.’ Understanding the Shared Responsibility Model Big companies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform offer public cloud services. These companies have a culture of being security-minded , but security isn’t their responsibility alone. Companies that use these services also share responsibility for handling data. The division of responsibility depends on the service model a customer chooses. This division led Amazon AWS to create a ‘shared responsibility model’ that outlines these. Image Source There are three main kinds of cloud service models and associated duties: 1. Infrastructure as a Service (IaaS), 2. Platform as a Service (PaaS) 3. Software as a Service (SaaS). Each type gives different levels of control and flexibility. 1. Infrastructure as a Service (IaaS) With IaaS, the provider gives users virtual servers, storage, and networking resources. Users control operating systems, but the provider manages the basic infrastructure. Customers must have good security measures, like access controls and data encryption. They also need to handle software updates and security patches. 2. Platform as a Service (PaaS) PaaS lets users create and run apps without worrying about having hardware on-premises. The provider handles infrastructure like servers, storage, and networking. Customers still need to control access and keep data safe. 3. Software as a Service (SaaS) SaaS lets users access apps without having to manage any software themselves. The provider handles everything, like updates, security, and basic infrastructure. Users can access the software through their browser and start using it immediately. But customers still need to manage their data and ensure secure access. Top six cybersecurity risks As more companies move their data and apps to the cloud, there are more chances for security to occur. Although cybersecurity risks change over time , some common cloud security risks are: 1. Human error 99% of all cloud security incidents from now until 2025 are expected to result from human error. Errors can be minor, like using weak passwords or accidentally sharing sensitive information. They can also be bigger, like setting up security incorrectly. To lower the risk of human error, organizations can take several actions. For example, educating employees, using automation, and having good change management procedures. 2. Denial-of-service attacks DoS attacks stop a service from working by sending too many requests. This can make essential apps, data, and resources unavailable in the cloud. DDoS attacks are more advanced than DoS attacks, and can be very destructive. To protect against these attacks, organizations should use cloud-based DDoS protection. They can also install firewalls and intrusion prevention systems to secure cloud resources. 3. Hardware strength The strength of the physical hardware used for cloud services is critical. Companies should look carefully at their cloud service providers (CSPs) hardware offering. Users can also use special devices called hardware security modules (HSMs). These are used to protect encryption codes and ensure data security. 4. Insider attacks Insider attacks could be led by current or former employees, or key service providers. These are incredibly expensive, costing companies $15.38 million on average in 2021 . To stop these attacks, organizations should have strict access control policies. These could include checking access regularly and watching for strange user behavior. They should also only give users access to what they need for their job. 5. Shadow IT Shadow IT is when people use unauthorized apps, devices, or services. Easy-to-use cloud services are an obvious cause of shadow IT. This can lead to data breaches , compliance issues, and security problems. Organizations should have clear rules about using cloud services. All policies should be run through a centralized IT control to handle this. 6. Cloud edge When we process data closer to us, rather than in a data center, we refer to the data as being in the cloud edge. The issue? The cloud edge can be attacked more easily. There are simply more places to attack, and sensitive data might be stored in less secure spots. Companies should ensure security policies cover edge devices and networks. They should encrypt all data, and use the latest application security patches. Six steps to secure your cloud Now we know the biggest security risks, we can look at how to secure our cloud architecture against them. An important aspect of cloud security practices is managing access your cloud resources. Deciding who can access and what they can do can make a crucial difference to security. Identity and Access Management (IAM) security models can help with this. Companies can do this by controlling user access based on roles and responsibilities. Security requirements of IAM include: 1. Authentication Authentication is simply checking user identity when they access your data. At a superficial level, this means asking for a username and password. More advanced methods include multi-factor authentication for apps or user segmentation. Multi-factor authentication requires users to provide two or more types of proof. 2. Authorization Authorization means allowing access to resources based on user roles and permissions. This ensures that users can only use the data and services they need for their job. Limiting access reduces the risk of unauthorized users. Role-based access control (RBAC) is one way to do this in a cloud environment. This is where users are granted access based on their job roles. 3. Auditing Auditing involves monitoring and recording user activities in a cloud environment. This helps find possible security problems and keeps an access log. Organizations can identify unusual patterns or suspicious behavior by regularly reviewing access logs. 4. Encryption at rest and in transit Data at rest is data when it’s not being used, and data in transit is data being sent between devices or users. Encryption is a way to protect data from unauthorized access. This is done by converting it into a code that can only be read by someone with the right key to unlock it. When data is stored in the cloud, it’s important to encrypt it to protect it from prying eyes. Many cloud service providers have built-in encryption features for data at rest. For data in transit, encryption methods like SSL/TLS help prevent interception. This ensures that sensitive information remains secure as it moves across networks. 5. Network security and firewalls Good network security controls are essential for keeping a cloud environment safe. One of the key network security measures is using firewalls to control traffic. Firewalls are gatekeepers, blocking certain types of connections based on rules. Intrusion detection and prevention systems (IDPS) are another important network security tool. IDPS tools watch network traffic for signs of bad activity, like hacking or malware. They then can automatically block or alert administrators about potential threats. This helps organizations respond quickly to security incidents and minimize damage. 6. Versioning and logging Versioning is tracking different versions of cloud resources, like apps and data. This allows companies to roll back to a previous version in case of a security incident or data breach. By maintaining a version history, organizations can identify and address security vulnerabilities. How a CSPM can help protect your cloud security A Cloud Security Posture Management (CSPM) tool helpful to safeguard cloud security. These security tools monitor your cloud environment to find and fix potential problems. Selecting the right one is essential for maintaining the security of your cloud. A CSPM tool like Horizon ACE management service can help you and your cloud environment. It can provide alerts, notifying you of any concerns with security policies. This allows you to address problems quickly and efficiently. Here are some of the features that Horizon ACE offers: Agentless CSPM solution Secure multi-cloud environments within 3 minutes Coverage across multi-cloud, multi-accounts, cloud-native services, and cloud applications Uncover hidden backdoors in container environments Identify misconfigurations and security threats Dynamic behavior analysis for container security issues Static analysis for container vulnerabilities and malware All these allow you to fix information security issues quickly to avoid data loss. Investing in a reliable CSPM tool is a wise decision for any company that relies on cloud technology. Final Words As the cloud computing security landscape evolves, so must cloud security architects. All companies need to be proactive in addressing their data vulnerabilities. Advanced security tools such as Horizon ACE make protecting cloud environments easier. Having firm security policies avoids unnecessary financial and reputational risk. This combination of strict rules and effective tools is the best way to stay secure. Schedule a demo Related Articles Q1 at AlgoSec: What innovations and milestones defined our start to 2026? AlgoSec Reviews Mar 19, 2023 · 2 min read 2025 in review: What innovations and milestones defined AlgoSec’s transformative year in 2025? AlgoSec Reviews Mar 19, 2023 · 2 min read Navigating Compliance in the Cloud AlgoSec Cloud Mar 19, 2023 · 2 min read Speak to one of our experts Speak to one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Schedule a call

  • A Customer Story: The NCR journey to effective and agile network security | AlgoSec

    Learn how NCR improved network security and agility through automation and optimization with Algosec's solutions. Webinars A Customer Story: The NCR journey to effective and agile network security Managing security in a multi-billion-dollar enterprise poses many challenges, as well as opportunities. Go inside an S&P 500 company and hear how they manage their network security. Join Scott Theriault, Global Manager, Network Perimeter Security at NCR Corporation as he shares his real-world experience managing security in a global organization with Yitzy Tannenbaum, Product Marketing Manager at AlgoSec. Get insights on: Key factors managing network security in complex organizations The benefits of network policy optimization Importance of maintaining and demonstrating compliance Change management and automation in large, complex networks Driving alignment of cloud and on-premises security December 17, 2020 Yitzy Tannenbaum Product Marketing Manager Scott Theriault Global Manager, Network Perimeter Security at NCR Corporation Relevant resources AlgoSec Case Study: BT Watch Video Discovery Case Study Keep Reading Choose a better way to manage your network Choose a better way to manage your network Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

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