PolicySafeguard applies advanced static analysis to firewall configurations, helping security teams discover vulnerabilities before deployment. Our approach prioritizes capabilities that clearly benefit defenders—detection, analysis, and remediation.
We are in the early stages of building PolicySafeguard, and we're committed to transparency about our progress and capabilities as we grow.
As we build PolicySafeguard, we're establishing evaluation frameworks to measure effectiveness. We believe in testing against known firewall vulnerabilities and configuration weaknesses to validate our detection capabilities.
Current Focus: Building the core analysis engine and establishing baseline detection capabilities for common misconfigurations like overly permissive rules, rule shadowing, and missing security controls.
As we gain traction with security teams, we plan to:
We're honest about where we are: an early-stage tool built by security practitioners who believe defenders need better tools. As we work with initial customers, we'll build the evaluation data and success metrics that demonstrate PolicySafeguard's effectiveness. Our claims will be backed by evidence as we generate it.
Core analysis capabilities designed for security teams
Advanced abstract syntax tree (AST) parsing for firewall configurations. Control flow analysis detects rule shadowing, redundancy, and logic errors without executing policies.
Vendor-agnostic intermediate representation (IR) converts Check Point and Palo Alto syntax into unified format for consistent analysis across platforms.
Multi-threaded analysis engine processes 10,000+ rules in under 2 minutes. Incremental scans analyze only changed policies for real-time CI/CD feedback.
Context-aware detection engine designed to understand network topology and organizational standards. As we gather data from deployments, we plan to enhance anomaly detection capabilities.
Air-gapped deployment option. All processing happens locally—no cloud uploads, no external dependencies. Your policies never leave your network perimeter.
RESTful API, GraphQL endpoints, gRPC for high-performance integrations. Webhooks for event-driven workflows. OpenAPI 3.0 specification for all endpoints.
Native integration with leading firewall platforms—no manual exports or conversions required
Management API Integration: Direct connection to Check Point Management Server via RESTful API. Supports SmartConsole, Multi-Domain Security Management (MDSM), and Provider-1.
Supported Objects: Security policies, NAT rules, access control layers, VPN communities, time objects, network groups, service groups, application/URL filtering, threat prevention profiles.
Export Formats: Native database extraction, CPMI API, SmartConsole exports (CSV, JSON, XML). Policy packages and installation targets automatically detected.
Panorama Integration: Direct API access to Panorama management platform. Device groups, templates, and shared objects fully supported. HA cluster-aware analysis.
Supported Objects: Security rules, NAT policies, QoS rules, DoS protection, zones, address objects, service objects, application filters, security profiles (AV, AS, VP, WF, FP), GlobalProtect VPN.
Export Formats: XML API, REST API (PAN-OS 9.0+), configuration snapshots. Device-specific and shared policy analysis. Pre-rules, post-rules, and default rules evaluated.
Coming Soon: Fortinet FortiGate, Cisco ASA/FTD, AWS Security Groups, Azure NSG
Comprehensive validation covering access control, network address translation, logging, VPN, and security best practices
SaaS Cloud: Fully managed service with automatic updates, high availability, and global CDN. Zero infrastructure management.
Self-Hosted: Docker containers, Kubernetes Helm charts, or native binaries. Deploy on-premise or in private cloud (AWS, Azure, GCP). Full data control.
Air-Gapped: Offline installation package with all dependencies. No internet connectivity required. Perfect for classified or high-security environments.
Hybrid: On-premise analysis engine with optional cloud reporting dashboard. Policies stay local, metrics shared securely.
1. Policy Ingestion: Connect to firewall management API or import configuration files. Secure authentication with API keys, certificates, or OAuth 2.0.
2. Parsing & Normalization: Vendor-specific syntax converted to intermediate representation. Objects, rules, and metadata extracted into graph database.
3. Analysis Engine: 50+ security checks executed in parallel. Rule flow analysis, object resolution, dependency mapping. Risk scoring and prioritization.
4. Results & Reporting: JSON, SARIF, HTML, PDF output formats. Integration with CI/CD, SIEM, ticketing systems. Actionable remediation guidance.
Comprehensive REST API for programmatic access to all PolicySafeguard capabilities
Complete OpenAPI 3.0 spec with request/response schemas, authentication flows, and example payloads. Import into Postman, Insomnia, or Swagger UI.
API key authentication, OAuth 2.0 client credentials flow, JWT tokens with RBAC. Rate limiting, IP whitelisting, and request signing for enhanced security.
Official SDKs for Python, Go, JavaScript/Node.js, Java. Auto-generated from OpenAPI spec. Includes examples, error handling, and retry logic.
Connect PolicySafeguard with your existing security and DevOps toolchain
GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, Azure DevOps Pipelines, Bitbucket Pipelines, Travis CI, TeamCity. Native plugins and CLI integration.
Splunk, Elastic Stack (ELK), Azure Sentinel, AWS Security Hub, Chronicle, QRadar, LogRhythm. Syslog, CEF, and STIX/TAXII formats supported.
Jira, ServiceNow, PagerDuty, OpsGenie, Slack, Microsoft Teams. Automated ticket creation for policy violations with context and remediation steps.
Ansible, Terraform, Puppet, Chef, SaltStack. Policy-as-Code validation before infrastructure deployment. GitOps workflows with Flux/ArgoCD.
AWS Lambda, Azure Functions, GCP Cloud Functions. Serverless deployment for event-driven policy validation. Native cloud storage integration (S3, Blob, GCS).
GitHub, GitLab, Bitbucket, Azure Repos. Pre-commit hooks, pull request checks, automated code review comments. Policy diff visualization in PR.
See PolicySafeguard's advanced policy validation in action with a personalized demo