We believe defenders should not cede the advantage to attackers. PolicySafeguard uses advanced static analysis to help security teams discover, analyze, and remediate firewall policy vulnerabilities before they reach production—empowering those safeguarding our digital environments.
Manual policy reviews don't scale. Security teams spend hours auditing changes, yet critical misconfigurations still slip through—exposing networks to breaches and compliance failures.
Automated analysis can examine thousands of firewall rules in minutes, detecting vulnerabilities that would take security teams days to find manually—if they find them at all.
Build tools that empower security teams, cybersecurity researchers, and maintainers of critical infrastructure to secure code and networks before deployment.
We measure PolicySafeguard's effectiveness through rigorous testing against industry-standard benchmarks and feedback from security teams using it in production environments.
Current Development Focus: We're building PolicySafeguard's core detection engine to identify common firewall vulnerabilities including overly permissive rules, rule shadowing, missing security controls, and configuration drift.
Testing Methodology: As we develop, we test against known misconfiguration patterns and establish baseline detection capabilities. Our analysis engine is designed for speed—processing large rulesets in minutes versus days of manual review.
Commitment to Transparency: As we gain customers and deployment experience, we'll publish evaluation results, detection accuracy metrics, and real-world findings. Our claims will be backed by evidence as we generate it.
We're in the early stages and looking for security teams interested in helping shape PolicySafeguard's development. Early adopters will work directly with us to:
Interested? Get in touch to learn more about early access.
Firewall misconfigurations represent a critical attack surface. Automated validation helps defenders detect and remediate vulnerabilities before attackers can exploit them.
"Any/Any" rules, unrestricted internet access, and excessive service permissions create attack surfaces. Manual reviews miss these in complex rulesets with thousands of policies.
New rules hidden by broader existing policies never take effect. Redundant rules bloat configurations, making audits impossible and troubleshooting nightmarish.
VPN enforcement, geo-blocking, IPS/IDS protections—critical controls omitted during rapid changes. One missing check creates a critical vulnerability.
PCI-DSS, HIPAA, SOC 2 require strict network segmentation. Policy drift and undocumented changes lead to failed audits and regulatory penalties. PolicySafeguard aids compliance efforts but does not guarantee regulatory compliance.
Security teams bottleneck deployments with days-long manual reviews. DevOps moves fast, security falls behind, teams implement workarounds.
Bad policies cause outages: blocked legitimate traffic, broken applications, emergency rollbacks at 3 AM. Prevention is infinitely cheaper than firefighting.
PolicySafeguard scans Check Point and Palo Alto configurations in your CI/CD pipeline. Intelligent analysis detects risks, enforces best practices, and blocks insecure changes before they reach production.
Native support for Check Point R80+ and Palo Alto PAN-OS 9.0+. Parse, normalize, and analyze policies across vendors with unified rule syntax. Detect vendor-specific misconfigurations and cross-platform inconsistencies.
What We Check: Rule shadowing, redundancy detection, overly permissive ACLs, missing logging, disabled security profiles, VPN enforcement gaps, insecure NAT configurations, and 50+ additional security checks.
View All ChecksIntegrate into GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or any CI platform. Pre-commit hooks and PR checks catch issues before code review. Pipeline gates block insecure policies automatically.
Developer Experience: Clear, actionable error messages with line numbers and remediation guidance. JSON/SARIF output for IDE integration. Pass/fail thresholds you control—warn on medium risk, block on high/critical.
Integration GuideSmart diff engine highlights what changed between policy versions. Impact analysis shows affected networks, applications, and users. Risk scoring prioritizes critical issues. Historical tracking identifies policy drift over time.
Audit Trail: Full change history, automated documentation, compliance reporting. Export to PDF, CSV, or API. Prove due diligence to auditors with automated evidence collection.
Learn MoreWe focus on building capabilities that clearly benefit defensive security work—helping teams find and fix vulnerabilities before deployment.
Detect overly permissive rules, shadowed policies, missing security controls, and configuration drift. Find vulnerabilities in deployed policies and infrastructure-as-code before they reach production.
Advanced static analysis examines firewall configurations for security weaknesses. Context-aware detection identifies real risks while minimizing false positives that waste security team time.
Air-gapped deployment option ensures your firewall policies never leave your network. Run on-premise with zero cloud dependency for maximum data sovereignty.
Shift security left by integrating into development workflows. Catch policy vulnerabilities during code review, not after deployment. Automated gates prevent insecure changes from reaching production.
Automated evidence collection for PCI-DSS, HIPAA, and SOC 2 audits. Document technical safeguards and maintain audit trails. Note: aids compliance efforts but does not guarantee regulatory compliance.
Write custom detection rules for organization-specific security standards. API-first architecture integrates with existing security tools and workflows. Open rule library encourages community contributions.
PolicySafeguard empowers those safeguarding our digital environments—security teams, researchers, and infrastructure maintainers.
Security teams use PolicySafeguard to discover firewall policy vulnerabilities before deployment. Automated analysis identifies misconfigurations that could create attack surfaces, preventing security incidents before they occur.
Integrate security checks into development workflows. Catch policy errors during code review, not during incident response. Developers receive immediate feedback on security implications of infrastructure changes.
Researchers analyze firewall configurations to identify systemic weaknesses and develop better security patterns. Extensible rule framework enables experimentation with new detection techniques.
Maintainers of critical systems ensure firewall policies remain secure over time. Detect configuration drift, unauthorized changes, and policy degradation before they can be exploited.
Validate that network segmentation and access controls meet regulatory requirements. Automated documentation provides evidence of technical safeguards for PCI-DSS, HIPAA, and other frameworks.
Ensure consistent security policies across on-premise firewalls and cloud security groups. Validate that cloud migrations don't weaken security posture or create new vulnerabilities.
Deploy via Docker, Kubernetes, or native binary. Connect to Check Point Management Server or Palo Alto Panorama. 5-minute setup with single config file.
Add PolicySafeguard to your CI workflow. Pre-built actions for GitHub, GitLab, Jenkins. Or use CLI/API for custom integrations. No code changes required.
Automated scans run on every commit. Security gate blocks risky changes. Team gets instant feedback. You deploy knowing policies are secure.
"PolicySafeguard caught a critical 'any/any' rule in our staging environment before it went to production. Would have been a major incident. This tool paid for itself on day one."
Security Engineer
Financial Services
"We reduced firewall policy review time from 3 days to 20 minutes. Security is no longer a deployment bottleneck. DevOps and security teams are finally aligned."
CISO
Healthcare Organization
"Best investment for our SOC 2 Type II audit. Automated compliance evidence, full change history, instant policy validation. Auditors were impressed."
Director of InfoSec
SaaS Company
*Customer testimonials reflect individual experiences. Results may vary.
Now is the moment to accelerate defensive use of automated analysis to secure network infrastructure. Organizations should experiment with how PolicySafeguard can improve their security posture and help defenders keep pace with evolving threats.
Questions about implementation? Contact our team or review documentation.