Explore Algosec's customer success stories to see how organizations worldwide improve security, compliance, and efficiency with our solutions. Leading payment solutions company credits AlgoSec for increasing security and compliance Organization Payment Solutions Industry Financial Services Headquarters Download case study Share Customer
success stories "Leading fintech company rapidly improves security and compliance with AlgoSec jumpstart program" Background The company is one of the largest payment solutions providers, with offices processing more than 28 billion transactions worldwide. The company services 800,000 merchant outlets that generate $120 billion in processing volume. Its businesses include credit card processing, merchant acquisition and issuance of bank credit cards. The company grew to its enormous size through innovation and acquisition. It has introduced modern technology into the payments industry and has acquired many innovative companies over the last three decades. Challenges Today, the company operates 10 data centers with varying security architectures and firewall equipment from different vendors. The security staff is currently in the process of a cross-company firewall consolidation that will take several years to complete. The company is automating its change management of firewall rules to cut down on the time and effort spent on researching and implementing rules to keep up with its fast growth. It deploys rule changes during tight, scheduled “push windows” and conducts compliance reviews twice per year. The firewall change process is highly complex with many steps: Request Design Peer Review Management Approval Implementation Validation Success for the security team is all about time. They seek to automate the process by reducing time spent on: Research and writing rules Peer reviews Staging Security peering after staging Firewall push window requirements Quarterly firewall ruleset reviews as part of compliance objectives Solution The security team acquired AlgoSec Horizon Security Analyzer (AFA) and deployed it at two of its data centers in Arizona and Colorado. In both locations, the company is in the process of firewall migration to consolidate on one vendor. However, they need to add firewall clusters one at a time after each migration instead of all at once. The company took advantage of AlgoSec’s Jumpstart Program that delivers the benefits of AlgoSec Horizon Security Analyzer in conjunction with other AlgoSec solutions quickly. With Jumpstart, the company is quickly able to: Automate the discovery and mapping of enterprise applications Automate the change management processes Adopt the new processes across the company Realize rapid ROI The company’s lead security infrastructure consultant proclaimed, “AlgoSec customized their Jumpstart Program just for us. Their people are engaged, personable, skilled and highly efficient. They became part of our team dedicated to our success.” In addition to getting Horizon Security Analyzer up and running quickly and delivering its benefits, the Jumpstart team’s AFA deployment immediately identified network security gaps and helped the company close them, making them more secure and compliant. Results AlgoSec Horizon Security Analyzer is achieving all the goals of the security team. Time for policy writing reduced from 90 hours to 15 hours – 83% less Cut the total process time by half, enabling the security team to keep up with the barrage of change requests. Reduced the admin overhead from 30 to 4 – 87% less “Automation is definitely the way to go,” declared their security consultant. “We can now stay on top of the process even while we migrate our firewalls. We are looking for more from AlgoSec.” The company is now in the process of implementing AlgoSec Horizon FireFlow (AFF) to enhance the existing change management system with intelligent network and security automation. AlgoSec Horizon FireFlow enforces compliance and automatically documents the entire change-management lifecycle. Some of the features include: Processing of firewall changes with zero-touch automation Elimination of mistakes and rework, and improvement of accountability for change requests Proactive assessment of the impact of network changes to ensure security and continuous compliance Automation of the rule–recertification processes Schedule time with one of our experts

Learn how to improve cloud infrastructure security with practical steps for IAM, network access, policy cleanup, monitoring, governance, and audit readiness How to improve cloud infrastructure security ---- ------- Schedule a Demo Select a size ----- Get the latest insights from the experts Choose a better way to manage your network

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Explore Algosec's customer success stories to see how organizations worldwide improve security, compliance, and efficiency with our solutions. Energy supplier keeps the lights on with automated network change management Organization Energy Supplier Industry Utilities & Energy Headquarters International Download case study Share Customer
success stories "AlgoSec has saved us a lot of time in managing our rule base.” Large energy supplier empowers internal stakeholders and streamlines network security policy change process Background The company is the provider of electricity and gas for their country. They are responsible for the planning, construction, operation, maintenance and global technical management of both these grids and associated infrastructures. The Challenge In order to provide power to millions of people, the company runs more than twenty IT and OT firewalls from multiple vendors that are hosted in multiple data centers throughout the country. Some of the challenges included: Lack of visibility over a complex architecture – With multiple networks, IT managers needed to know which network is behind which firewall and connect traffic flows to firewall rules. Change management processes were being managed by network diagrams created in Microsoft Visio and Microsoft Excel spreadsheets – tools that were not designed for network security policy management. Thousands of rules – Each firewall may have thousands of rules each. Many of these rules are unneeded and introduce unnecessary risk. Managing the maze of rules was time consuming and took time away from other strategic initiatives. Unnecessary requests – Business stakeholders were requesting status information about network traffic and making duplicate and unnecessary change requests for items covered by existing rules. The Solution The company was searching for a solution that provided: Visibility into their network topology, including traffic flows. Optimization of their firewall rules. Alerts before time-based rules expire. Automatic implementation of their rule base onto their firewall devices. They implemented AlgoSec Horizon Security Analyzer and AlgoSec Horizon FireFlow, as well as AlgoBot, AlgoSec’s ChatOps solution. AlgoSec Horizon Security Analyzer ensures security and compliance by providing visibility and analysis into complex network security policies. AlgoSec Horizon FireFlow improves security and saves security staffs’ time by automating the entire security policy change process, eliminating manual errors, and reducing risk. AlgoBot is an intelligent chatbot that handles network security policy management tasks. AlgoBot answers business user’s questions, submitted in plain English, and automatically assists with security policy change management processes – without requiring manual inputs or additional research. The Results Some of the ways the company benefitted from using AlgoSec include: Visibility and topology mapping – They are able to get a picture of their entire network and view traffic flows to each network device. Optimized firewall rules – They are able to adjust the placement of their rules, placing their most used rules higher in the rule base, improving performance, and also checking for unused objects or rules to clean up, removing unused rules, improving firewall performance. Improved communication and transparency for time-based rules – Before time-based rules expire (rule with an expiration date), the requester is automatically notified and asked if the rule should be extended or removed. Better, more refined rule requests – By first gathering information from AlgoBot, rule requests are better focused. Internal customers are able to check if rules are already in place before making requests, therefore avoiding requests that are already covered by existing rules. Empower internal stakeholders – Able to save the IT team’s time by empowering internal stakeholders to use AlgoBot to get the answers themselves to traffic queries. Met change implementation SLAs – By implementing their rules with AlgoSec, the company meets their internal SLAs for change implementation. Streamlined auditing processes – By documenting the changes they made in the firewalls, who made them, and when, their audit processes are streamlined. Zero-touch automation – Automatically implementing rules in multiple firewalls simultaneously ensures policy consistency across multiple devices, while preserving staff resources. This also eliminates the need to use the management consoles from individual vendors, saving time and reducing misconfigurations. Staff efficiencies – Hundreds of monthly change requests are able to be managed by a single staff member. He would not be able to do it without AlgoSec. The company switched from a competing solution because it was more user-friendly and provided greater visibility than the competing solution they were previously using. They are also impressed with AlgoSec’s scalability. “The initial setup is really easy. It has been running flawlessly since installation. Even upgrades are pretty straightforward and have never given us problems,” they noted. Schedule time with one of our experts

Algosec Horizon AppViz provides clear visibility into application connectivity, ensuring optimal security and simplifying network management. Horizon AppViz: AI-Powered Application Discovery, Visualization & Security Remove blind spots across your hybrid network Schedule a demo AI-Powered Application Discovery Horizon AppViz’s AI driven application discovery transforms how applications are onboarded. Instead of relying on manual identification, Horizon AppViz uses embedded AI to automatically surface high confidence application candidates based on real network and change data. The result is faster onboarding, broader coverage, and reduced operational effort while keeping you in control of what gets added to your environment. Accelerate secure change requests Reduce manual interventions and accelerate application delivery Gain faster visibility Gain a unified view of your network's security posture Strengthen governance Stay ahead of regulatory requirements with automated compliance checks Reduce manual mapping Prioritizes risks based on application criticality, risk severity, and threat exposure Out of gallery Horizon AppViz allows you to scale, secure, and simplify hybrid network security Horizon AppViz’s application first approach simplifies hybrid network security with: AI-Driven Discovery Engine Horizon AppViz automatically identifies application dependencies and traffic flows across hybrid networks. It enables a unified view of business application flows, spanning on-premises data centers and multi-cloud environments. Learn more Prioritize risk on context Horizon AppViz doesn’t just show vulnerabilities; it reveals them through a business lens, mapping them directly to the critical applications that underpin a company’s operations. Learn more Ensure Application-centric compliance Real-time visibility into compliance status across hybrid environments helps organizations stay ahead of regulatory demands. Horizon AppViz allow application recertification workflows that ensure tracking of compliance expiration dates without manual intervention, reducing audit preparation time by eliminating the need for rule-by-rule recertification. Learn more Automated change management Manual change-management processes can be error-prone and inefficient. To streamline security policy updates, it is essential to analyze the impact of planned network changes before implementation. Automating security policy changes reduces errors and accelerates processes. Integrating security, DevOps, and IT teams into a collaborative workflow enhances efficiency, while proactively addressing security risks helps lower change-request rejection rates. Learn more “The key is understanding your applications; if you don’t understand your applications fully, you can’t manage them, and you can’t reduce the risk around them” “Preparing for audits became 50% faster with AppViz” “We reduced change request rejections from 10% to 0%” Don’t just take our word for it 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

Learn what AI-powered network security policy management is, where AI can help, and how teams can keep policy changes governed and audit-ready What is AI-powered network security policy management? How does AI-powered network security policy management help teams make safer firewall rule decisions? Ask a firewall engineer whether a rule can be removed, and the first answer is usually: It depends. The rule may look idle for months, then carry traffic during a disaster recovery test. It may have been created for a migration that ended last year. Or it may be the only documented path for a payroll application no one wants to break on a Friday afternoon. This is the kind of messy decision AI-powered network security policy management is meant to improve. It uses AI-assisted analysis to help security and network teams review, prioritize, and govern access rules across firewalls, cloud security groups, and hybrid environments. The hard part is not getting another recommendation. It is knowing whether there is enough evidence to trust it before someone approves a change. Schedule a Demo Why the problem is hard to manage by hand Network security policy management has always been detailed work. Teams look at rule tables, objects, traffic logs, tickets, application names, risk findings, and exception records. In a small environment, a careful engineer may be able to keep enough of that in their head. In an enterprise network, the same question may cross data center firewalls, cloud-native controls, segmentation rules, and change records from several teams. A rule can look wrong on the screen and still be legitimate. The trouble starts when no one can explain why it exists or which application still depends on it. A broad rule may be a temporary exception, a forgotten migration leftover, or a real dependency no one documented properly. A low-use connection may be dead, seasonal, or reserved for failover. A change request may look narrow until someone opens the source object and sees that it includes far more addresses than the requester realized. That uncertainty slows down reviews. It also makes audit preparation harder, because auditors rarely ask only whether a rule exists. They ask why it exists, who approved it, whether it is still needed, and how the organization knows. Schedule a Demo What changes when AI is added Many security teams already use rules-based automation for policy operations. A ticket can follow an approval path. A proposed change can be checked against standards. A cleanup candidate can be routed to an owner. Those controls still matter. With enough evidence behind it, AI adds a different layer. It can summarize rule intent, group similar issues, highlight unusual requests, and push the riskiest review candidates toward the front of the queue. In a large rule base, that can reduce the amount of manual sorting a senior reviewer has to do before making a judgment. That is a practical shift, not a handoff. Experienced teams have been managing network access for years; AI does not make the discipline new. It can make the review less dependent on manually piecing together scattered facts from consoles, spreadsheets, and old tickets. Schedule a Demo The data has to be better than the guess Teams should be able to see the evidence behind a recommendation before they lean on it. That evidence usually includes: Firewall and cloud access rules Observed traffic, usage history, and flow data Network topology and routing paths Application dependencies and service ownership Asset criticality and exposure data Change tickets, approvals, owners, and exceptions Compliance or internal control requirements Prior cleanup, recertification, and review decisions Without that evidence, a recommendation may sound reasonable and still be wrong. The risky step is not labeling a rule as stale; it is narrowing access before the team knows which business service depends on it. That is how a cleanup task becomes an outage ticket. For example, a rule used only during quarterly financial close may look stale in a short traffic sample. A connection that appears risky in isolation may support a tightly controlled administrative process. AI can help find the question faster, but the answer still depends on accurate technical and business information. Schedule a Demo Where enterprises usually see the first value Most teams see the first value in ordinary review work: rules no one wants to touch, change requests with missing details, cleanup backlogs, and audit questions that send engineers back through old tickets. A compact view helps because the work is not only technical; each recommendation still needs someone to decide what happens next. Where AI can help vs. where governance still matters Part of the work What AI can surface Human check Rule review Duplicate rules, broad objects, quiet-but-not-dead access Owner, dependency, and business need Change planning Similar paths, sensitive zones, objects wider than requested Approval tier, timing, and rollback Cleanup and compliance Old exceptions plus request and approval evidence Control owner, recertification, and audit story Application connectivity Service, owner, and observed flow connections Impact before access is narrowed The table is not a handoff from people to machines. It is a way to shorten the investigation while keeping the decision tied to owners, dependencies, risk, and evidence. Schedule a Demo What should not be delegated to the model The safest way to use AI in this area is to treat it as an assistant, not an approver. A low-use rule should become a cleanup candidate, not an automatic deletion. Enterprises should be especially careful not to let a model approve high-risk access changes by itself. A natural-language explanation should help a human understand the issue, not become the only source of truth. Some changes deserve extra care: internet-facing access, sensitive network zones, privileged services, production databases, broad address groups, and rules tied to regulatory scope. In those cases, teams need accountable owners, risk-based approvals, and a record of what was reviewed. This is also where hallucinated explanations can become dangerous. If a system invents a business reason for access, the team may trust a story that was never validated. Good governance keeps the explanation tied to source data: traffic, topology, application records, ownership, vulnerability findings, and change history. Schedule a Demo What buyers should look for During evaluation, look past the AI label on the page. In a real operations meeting, recommendations need to trace back to the data that shaped them. Can the team see which rule, object, flow, application, owner, or change ticket influenced the recommendation? Can reviewers separate a cleanup candidate from a change that is ready to implement? Can the platform handle data center and cloud controls without pretending they behave the same way? Can it preserve evidence for compliance teams without forcing engineers to rebuild the story later? For C-level leaders, the value is faster change with better governance, not blind automation. A strong approach should still let the organization define risk tiers, approval paths, exception handling, and recertification cycles. Schedule a Demo How AlgoSec Horizon fits into the process For enterprises managing hybrid networks, a platform view matters because policy decisions are rarely isolated. A rule cleanup project may depend on application ownership. A change request may depend on risk analysis. An audit request may depend on the history of approvals and exceptions. AlgoSec Horizon is designed to support that broader view. The platform helps enterprise teams connect application context, security policy visibility, risk analysis, governed change processes , and compliance-ready evidence across hybrid environments. For AI-powered network security policy management, the point is not a magic AI tool. It is the ability to relate a recommendation back to the application, owner, risk, and change record that security, network, cloud, and compliance stakeholders need to see. If your team is trying to review firewall and cloud policies faster without loosening approval discipline, AlgoSec Horizon can help connect application-centric visibility, risk analysis, controlled change processes, and audit-ready evidence across hybrid networks . Schedule a Demo Frequently asked questions Can AI remove firewall rules on its own? Not in high-risk environments. AI can help identify rules that deserve review, but teams still need to validate ownership, dependencies, business need, and risk before removing or narrowing access. How is AI different from rule-based automation? Rule-based automation follows predefined logic, such as routing a change ticket or checking a request against known standards. AI is better suited to summarizing, finding patterns, explaining likely intent, and helping reviewers decide where to focus first. What data matters most for accurate recommendations? The strongest inputs are policy data, traffic history, topology, application dependencies, ownership, asset criticality, risk findings, change history, and compliance requirements. Current evidence makes it easier for reviewers to validate the recommendation. Is this only useful for large enterprises? Smaller teams can benefit too, especially when they manage cloud controls and firewall rules with limited staff. The value grows as environments become more distributed, more application-dependent, and harder to review manually. Schedule a Demo Select a size How does AI-powered network security policy management help teams make safer firewall rule decisions? Why the problem is hard to manage by hand What changes when AI is added The data has to be better than the guess Where enterprises usually see the first value What should not be delegated to the model What buyers should look for How AlgoSec Horizon fits into the process Frequently asked questions Get the latest insights from the experts Choose a better way to manage your network

Learn what any-any firewall rules allow, why broad permit rules create risk, and how to replace them with narrower access without disrupting applications. Any-any firewall rules: risks, examples, and how to fix them ---- ------- Schedule a Demo Select a size ----- Get the latest insights from the experts Choose a better way to manage your network

Explore Algosec's customer success stories to see how organizations worldwide improve security, compliance, and efficiency with our solutions. International Components Company Strengthens Network Security & Reduces Risks Organization Components Company Industry Retail & Manufacturing Headquarters International Download case study Share Customer
success stories "We quickly identified some unused rules, which we were able to safely remove. We're confident in the fact that we’re closing paths and we’ve also quickly managed to get compliance going,” says the company’s Head of Security Architecture." A leading international components company automates security policy change management and eliminates duplicate rules. BACKGROUND The company is a leading company specializing in high–performance components and sub-systems for the aerospace, defense, and energy markets. Backed by over a century of expertise, the company deliver solutions for the most challenging environments, enabling safe, cost-effective flight, power, and defense systems. CHALLENGE The company’s firewalls were growing consistently. There had not been enough insight and analysis into their network over the years, leading to a bloated and redundant network infrastructure. Firewalls and infrastructure did not get the care and attention they needed. Some of their challenges included: Legacy firewalls that had not been adequately maintained. Unused or overly permissive rules, which left open many security holes. Difficulty identifying and quantifying network risk. Change requests for functionality already covered by existing rules. SOLUTION The client searched for a vendor that understood their environment and challenges and could integrate into their existing solutions. They would need to offer: Faster implementation of firewall changes. Comprehensive firewall support. Automation of security policy change management. Visibility into their business applications and traffic flows. They implemented the AlgoSec Security Policy Management Solution, made up of AlgoSec Horizon Security Analyzer and AlgoSec Horizon FireFlow. AlgoSec Horizon Security Analyzer ensures security and compliance by providing visibility and analysis into complex network security policies. AlgoSec Horizon FireFlow improves security and saves security staffs’ time by automating the entire security policy change process, eliminating manual errors, and reducing risk. RESULTS By using the AlgoSec Security Management Solution, the customer gained: Greater insight and oversight into their firewalls and other network devices. Identification of risky rules and other holes in their network security policy. Audits and accountability into their network security policy changes. They were able to ensure ongoing compliance and make sure that rules submitted did not introduce additional risk. Identification and elimination of duplicate rules. The customer is also impressed with the dedicated attention they receive from AlgoSec. AlgoSec’s support team is familiar with their challenges and provides attention tailored to their exact needs. Schedule time with one of our experts

Discover key insights on cloud network security, its benefits, challenges, and best practices for protecting your cloud environment effectively. Cloud network security: Challenges and best practices What is cloud network security? Cloud network security refers to the measures used to protect public, private, and hybrid cloud networks. These measures include technology, services, processes, policies, and controls and can defend against data exposure or misuse. Why is cloud network security important? Cloud network security is important because of the wide range of threats to data and other cloud resources. Some of the most common include data breaches and exposure, malware, phishing, compromised APIs, distributed denial-of-service (DDoS), and DNS attacks, among others. In addition to defending against threat actors, cloud networks must also comply with an ever-growing number of regulations. A cloud-native security tool can provide the protection, incident response, and compliance that organizations need. Cloud security vs. network security Network security is a type of cloud security. If used in a hybrid system, it can rely on physical barriers and protections, whereas cloud security must exclusively use virtual solutions. In cloud computing, several organizations may share resources through infrastructure-as-a-service platforms like AWS EC2. Distributed data centers mean physical cybersecurity measures, like firewalls, must be replaced with virtual projections. There are three categories of cloud security: public, private, and hybrid cloud environments. Each offers its own set of challenges, which only increase in complexity for organizations with a multi-cloud environment. Schedule a Demo How does cloud network security work? Cloud network security routes traffic using software-defined networking. These protections are different from on-premise firewall systems and are virtualized and live in the cloud. The most secure platforms are built on a zero-trust security model, requiring authentication and verification for every connection. This helps protect cloud resources and defend them throughout the threat lifecycle. Schedule a Demo The benefits of cloud network security Cloud networks are inherently complex, and managing them using native tools can leave your organization vulnerable. Using a cloud network security solution offers several advantages. Improved protection The most important benefit of a secure cloud infrastructure is better protection. Managed permissions and orchestration can help prevent breaches and ensure better security across the system. Automated compliance A security solution can also help ensure compliance through automation that reviews policies for the most up-to-date regulatory and industry requirements and deploys the policy to multiple cloud platforms from a single place. Better visibility With a comprehensive solution, you can see all your properties—including on-premise and hybrid systems—in a single pane of glass. Improved visibility means recognizing new threats faster and resolving issues before they arise. Schedule a Demo Cloud network security challenges The cloud offers several benefits over traditional networks but also leads to unique vulnerabilities. Complexity across security control layers Cloud providers’ built-in security controls, such as security groups and network ACLs, impacts security posture. There is a need to protect cloud assets such as virtual machines, DBaaS, and serverless functions. Misconfigurations can introduce security risks across various assets, including IaaS and PaaS. Cloud and traditional firewall providers also offer advanced network security products (such as Azure Firewall, Palo Alto VM-Series, Check Point CloudGuard). Multiple public clouds Today’s environment uses multiple public clouds from AWS, Azure, and GCP. Security professionals are challenged by the need to understand their differences while managing them separately using multiple consoles and diverse tools. Multiple stakeholders Unlike on-premise networks, managing deployment is especially challenging in the cloud, where changes to configurations and security rules are often made by application developers, DevOps, and cloud teams. Schedule a Demo Key layers for cloud security Robust public cloud network security architecture must include four separate areas—layers that build upon each other for an effective network security solution. Cloud security architecture is fundamentally different from its on-premise counterpart. Cloud security challenges are met by a layered approach rather than a physical perimeter. Security for AWS, Azure, or any other public cloud employs four layers of increasing protection. Layer 1: Security groups Security groups form the first and most fundamental layer of cloud network security. Unlike traditional firewalls that use both allow and deny rules, security groups deny traffic by default and only use allow rules. These security groups are similar to the firewalls of the 90s in that they’re directly connected to servers (instances, in cloud architecture terms). If this first layer is penetrated, control of the associated security group is exposed. Layer 2: Network Access Control Lists (NACLs) Network Access Control Lists (NACLs) are used to provide AWS and Azure cloud security. Each NACL is connected to a Virtual Private Network (VPN) or Virtual Private Cloud (VPC) in AWS or VNet in Azure and controls all instances of that VPC or VNet. Centralized NACLs hold both allow and deny rules and make cloud security posture much stronger than Layer 1, making Layer 2 essential for cloud security compliance. Layer 3: Cloud vendor security solution Cloud security is a shared responsibility between the customer and the vendor, and today’s vendors include their own solutions, which must be integrated into the platform as a whole. For example, Microsoft’s Azure Firewall as a Service (FWaaS), a next-generation secure internet gateway, acts like a wall between the cloud itself and the internet. Layer 4: Third-party cloud security services Traditional firewall vendors, like solutions from Check Point (CloudGuard) and Palo Alto Networks (VM-Series), need to be integrated as well. These third parties create firewalls that stand between the public clouds and the outside world. They develop segmentation for the cloud’s inner perimeter like an on-premise network. This fourth layer is key for infrastructure built to defend against the most difficult hybrid cloud security challenges . Schedule a Demo Why AlgoSec AlgoSec Cloud offering provides application-based risk identification and security policy management across the multi-cloud estate. As organizations adopt cloud strategies and migrate applications to take advantage of cloud economies of scale, they face increased complexity and risk. Security controls and network architectures from leading cloud vendors are distinct and do not provide unified central cloud management. Cloud network security under one unified umbrella AlgoSec Cloud offering enables effective security management of the various security control layers across the multi-cloud estate. AlgoSec offers instant visibility, risk assessment, and central policy management , enabling a unified and secure security control posture, proactively detecting misconfigurations. Continuous visibility AlgoSec provides holistic visibility for all of your cloud accounts assets and security controls. Risk management Proactively detect misconfigurations to protect cloud assets, including cloud instances, databases, and serverless functions. Identify risky rules as well as their last usage date and confidently remove them. Tighten overall network security by mapping network risks to applications affected by these risks. Central management of security policies Manage network security controls, such as security groups and Azure Firewalls, in one system across multiple clouds, accounts, regions, and VPC/ VNETs. Manage similar security controls in a single security policy so you can save time and prevent misconfigurations. Policy cleanup As cloud security groups are constantly adjusted, they can rapidly bloat. This makes it difficult to maintain, increasing potential risk. With CloudFlow’s advanced rule cleanup capabilities, you can easily identify unused rules and remove them with confidence. Schedule a Demo Select a size What is cloud network security? How does cloud network security work? The benefits of cloud network security Cloud network security challenges Key layers for cloud security Why AlgoSec Get the latest insights from the experts 6 best practices to stay secure in the hybrid cloud Read more The enterprise guide to hybrid network management Read more Multi-Cloud Security Network Policy and Configuration Management Read more Choose a better way to manage your network

Learn how shadowed, redundant, duplicate, and unused firewall rules differ, why they accumulate, and how to validate them before cleanup Shadowed, redundant, duplicate, and unused firewall rules explained What is the difference between shadowed, redundant, duplicate, and unused firewall rules? Firewall rule cleanup often starts with four labels: shadowed, redundant, duplicate, and unused. They are related, but they describe different conditions. A shadowed rule is bypassed by an earlier match; a duplicate repeats another rule; a redundant rule adds no different outcome because another rule already covers it; and an unused rule has no observed matches during a defined evidence window. Each can be a cleanup candidate, but none is automatic approval to delete. The safer question is not simply “Which rules can we remove?” It is “What evidence shows that changing this rule will not interrupt an application, failover path, seasonal process, or required control?” A practical review combines rule logic and order with traffic history, application dependencies, ownership, business context, change impact, and rollback. Schedule a Demo Why rulebase clutter becomes hard to remove safely Rulebases grow during migrations, urgent access requests, mergers, troubleshooting, and application changes. Owners move, comments lose context, and temporary exceptions outlive the project that created them. The result is a rulebase that is harder to explain even when individual entries look familiar. Usage data helps, but it does not answer the business question by itself. A no-hit result may reflect an earlier match, incomplete logging, or quarterly or disaster-recovery use. An exact duplicate may also carry different ownership or scope. That uncertainty increases review effort and complicates audit evidence. Disciplined cleanup supports risk management and compliance readiness while reducing operational complexity through better prioritization and governed change. Schedule a Demo What to check before changing a cleanup candidate Use the finding as a prompt for review, then assemble enough context to make the decision explainable: Rule logic and order: Compare source, destination, service, identity, schedule, action, object groups, and position in the rulebase Usage evidence: Record the observation period, logging coverage, last-used information, and whether the data reflects the relevant enforcement point Application and ownership: Identify the application, business service, technical owner, and any dependency that could be affected Business and control context: Check seasonal work, failover, audit requirements, compensating controls, and approved exceptions Change and rollback: Define the change window, validation test, monitoring plan, approval record, and reversible recovery path For example, a no-hit rule left from a cloud migration may look ready for cleanup. Before changing it, confirm that the old network path is decommissioned, the application owner agrees, and the rule is not retained for a recovery scenario. That short validation can prevent a tidy-looking change from creating a difficult incident later. Schedule a Demo A governed workflow for firewall rule cleanup A repeatable workflow keeps analysis, decision-making, and implementation connected: Inventory and classify: Collect policies, object definitions, rule order, usage signals, ownership, comments, expiration data, and known application relationships. Classify candidates without treating the label as the decision. Prioritize: Start with candidates that have clearer evidence and a manageable blast radius, while giving extra review to broad access, business-critical services, and rules with weak ownership or incomplete history. Validate: Confirm the application need, traffic window, business calendar, dependencies, exception rationale, and expected impact with the relevant owner. Stage and monitor: Use an approved change window and a reversible step such as disabling or narrowing the rule where the platform and process support it. Monitor the expected traffic and keep rollback ready. Record and recheck: Capture what changed, why it changed, who approved it, and what evidence was observed. Update ownership and expiration details, then schedule a follow-up review. Schedule a Demo How to prevent rulebase debt from returning Cleanup works best when it becomes part of policy lifecycle management. Set an owner and an expiration or review date when temporary access is created. Make the purpose specific enough that a later reviewer can understand the business service, environment, and condition the rule supports. Connect policy changes to application onboarding, migration, and decommissioning processes. When a service moves, the policy review should ask which old paths, exceptions, and failover controls still matter. Recertification should combine rule analysis with observed usage and owner confirmation, rather than relying on comments or hit counts alone. Automation can help surface candidates on a recurring basis, but the operating model should keep approval, exception handling, and rollback visible. That balance helps teams reduce repetitive investigation without turning classification into an unreviewed production change. Schedule a Demo How AlgoSec Horizon supports application-aware firewall cleanup AlgoSec Horizon helps teams connect firewall policy review to the application connectivity, risk, ownership, and change context needed for better cleanup decisions. For security, network, and compliance teams, that context can make it easier to prioritize candidates, focus human investigation where it matters, and explain why a policy change was approved. The platform approach is especially useful when policy controls span hybrid environments. Teams can use application connectivity management to relate policy changes to application dependencies, connect the review to network security management , and use security policy change management when approval, implementation, monitoring, and audit evidence need to stay together. AlgoSec Horizon provides the broader platform context, while the relevant Horizon modules support specific parts of the workflow. For teams building a structured cleanup program, AlgoSec Horizon can help move the conversation from “this rule looks redundant” to “what application and business context supports the next action?” That shift supports clearer prioritization and more consistent governance. Schedule a Demo Frequently asked questions Are duplicate firewall rules safe to delete? Not by the label alone. Confirm the match criteria, action, device or policy scope, owner, exception history, and any dependent workflow before staging a reversible change. How long before a rule is considered unused? There is no universal period. Choose a window that covers the application’s normal operating cycle, maintenance schedule, seasonal activity, and recovery requirements, then document the logging limits. Is a shadowed firewall rule always safe to remove? No. A fully shadowed rule may be a strong technical cleanup candidate, but teams should still confirm that the earlier rule is intentional and that the later rule is not needed when the policy changes. What is the safest way to start firewall rule cleanup? Create an inventory, classify the candidates, validate the clearest cases with owners, stage changes where possible, monitor the result, and record the evidence for the next recertification. See how AlgoSec Horizon can help Explore firewall policy cleanup with an application-aware, governed approach that helps teams connect rule analysis to ownership, risk, change impact, and audit-ready evidence. Schedule a Demo Select a size What is the difference between shadowed, redundant, duplicate, and unused firewall rules? Why rulebase clutter becomes hard to remove safely What to check before changing a cleanup candidate A governed workflow for firewall rule cleanup How to prevent rulebase debt from returning How AlgoSec Horizon supports application-aware firewall cleanup Frequently asked questions Get the latest insights from the experts Choose a better way to manage your network

Explore Algosec's flexible pricing options for network security management solutions that fit your organization's needs and budget. Pricing Our pricing model is flexible, just like your network environment and needs. Get your customized offer today! Get your pricing Watch a video Year after year, rated #1 by your peers If you are running more than 50 critical business applications. If you have more than 10 firewalls in your environment. If your network security environment does not use only one firewall vendor. AlgoSec is for you if… AlgoSec pricing is based on the number of security devices in your environment, Cloud VM and containers and the number of applications you would like to manage. How is AlgoSec licensed? AlgoSec is a network security policy management solution that helps organizations automate and optimize their cybersecurity management. AlgoSec is best known for its flagship offerings: Firewall analyzer Policy change automation Hybrid network security management What is AlgoSec best known for? AlgoSec offers critical features such as: Risk mitigation Application discovery Estate wide network security mapping Application connectivity compliance Intelligent application connectivity automation Zero touch change management What are AlgoSec’s key features? AlgoSec customers will get value within the first month. A full deployment of the solution depends on the customer landscape, desired functionality and specific requirements. For medium size businesses, it takes between 1-3 months. For large enterprises, it takes between 3-6 months. For very large enterprises, it takes between 6-9 months. How long does it typically take to deploy AlgoSec? Learn more here "The reason we chose AlgoSec is because we saw the benefits of what it would give us for the business. The time it has taken to make a change has dropped significantly..." How does AlgoSec stack up against the competition? AlgoSec typically works best with companies that: Have an annual revenue above a billion dollars. Have a complex environment with multi-vendor network security devices. Have 50 plus critical business applications. Is AlgoSec’s pricing within reach for smaller companies? Yes. Look here Does AlgoSec really offer a money back guarantee? FAQ We also empower complex organizations to solve a range of use cases, including: Gain visibility Ensure compliance Reduce risk Intelligently automate change across hybrid networks That’s why we work closely with you to develop a pricing plan that's customized to meet your needs. Our pricing is based on the number of applications and devices across your hybrid network that you want to protect. To learn more about our pricing and how we help Network Security and Cloud Security experts. Still have pricing questions? Join leading companies like:

Untangling Network Complexity Exploring Network Segmentation Strategies and Security Solutions for Enhanced Network Security Network segmentation solution & software (risk mitigation) 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. What is network segmentation? What is network segmentation and why is it necessary? Which security risks does network segmentation mitigate? What are the most effective approaches to network segmentation? Which principles drive effective network segmentation? 21 questions that help you get network segmentation right 10 KPIs to measure success in network segmentation How AlgoSec helps you reap the benefits of network segmentation How to get started with network segmentation? Get the latest insights from the experts Use these six best practices to simplify compliance and risk mitigation with the AlgoSec Copy White paper Learn how AlgoSec can help you pass PCI-DSS Audits and ensure Copy Solution overview See how this customer improved compliance readiness and risk Copy Case study 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