Features That Security Teams Actually Need

From CI/CD integration to air-gapped deployment, PolicySafeguard delivers enterprise capabilities without enterprise complexity. Every feature designed to make firewall policy validation faster, more accurate, and completely automated.

CI/CD Pipeline Integration

Shift-left security with automated policy validation in your existing development workflow

GitHub Actions

GitHub Actions Integration

- name: PolicySafeguard Scan
uses: policysafeguard/action@v2
with:
policy-file: firewall-config.json
fail-on: critical,high
output-format: sarif

Native GitHub Action with automatic PR comments, security alerts, and SARIF integration for Code Scanning. Workflow templates for common scenarios.

GitLab CI

GitLab CI/CD Integration

policy_scan:
image: policysafeguard/scanner:latest
script:
- psg scan --config firewall.xml
- psg report --format gitlab-sast
artifacts:
reports:
sast: psg-report.json

Docker image with CLI tools, GitLab SAST report format, merge request widgets showing security findings. Pipeline fails on policy violations.

Jenkins

Jenkins Pipeline Plugin

stage('Security Validation') {
steps {
policysafeguard(
config: 'checkpoint.conf',
threshold: 'medium',
generateReport: true
)
}
}

Jenkins plugin with Blue Ocean visualization, build status gates, HTML reports published as artifacts. Integrates with Jenkins credentials store.

Azure DevOps

Azure DevOps Pipelines

- task: PolicySafeguard@2
inputs:
firewallType: 'PaloAlto'
configSource: '$(Build.Repository)
/panorama.xml'
publishResults: true

Azure DevOps extension with pipeline decorator, security tab integration, work item creation for violations. Azure Key Vault for credentials.

Additional CI/CD Support

CircleCI

Orb for CircleCI workflows with parallel execution and caching

Bitbucket Pipelines

Pipe integration with PR decoration and inline comments

Travis CI

Build matrix support for multi-vendor policy validation

TeamCity

Meta-runner templates with build failure conditions

Policy Diff & Impact Analysis

Intelligent change detection with visual diffs and blast radius analysis

Smart Diff Engine

Visual Policy Comparison

Side-by-side comparison of policy versions with syntax highlighting. Detects added, modified, deleted, and moved rules. Semantic diff shows logical changes, not just text differences.

Change Categories: New permissions granted, access revoked, security profile changes, NAT modifications, logging adjustments, object updates.

Visualization: Color-coded diff view, unified/split mode, line-by-line comparison, change summary statistics, export to HTML/PDF with annotations.

Impact Analysis

Blast Radius Calculation

Identifies which networks, applications, and users are affected by policy changes. Maps traffic flows to understand downstream impact before deployment.

Risk Scoring: Change severity from low to critical based on scope (IP ranges affected, services exposed, number of users impacted). Automatic escalation for high-risk changes.

Dependency Mapping: Shows which applications rely on affected rules, identifies business services at risk, calculates potential outage scenarios.

Historical Tracking

Policy Version Control

Complete audit trail of all policy changes over time. Track policy drift, identify when issues were introduced, compare against baseline configurations.

Capabilities: Time-travel to any previous policy state, diff between any two versions, identify who made changes and when, link changes to tickets/PRs.

Compliance: Automated evidence collection for audits, tamper-proof change logs, cryptographic signatures for policy snapshots.

Custom Policy Rule Engine

Define organization-specific security standards with flexible rule language

YAML-Based Rule Definitions

rules:
- id: CORP-001
name: Restrict Production Internet
severity: critical
condition: |
source.zone == "production" AND
destination == "any" AND
service.port in [80,443]
message: "Production zone requires
explicit internet rules"

Write custom checks in simple YAML syntax. Access to all policy attributes, network objects, metadata. Supports complex logic with AND/OR/NOT operators.

Pre-Built Rule Library

100+ Community Rules: Industry best practices, compliance frameworks (PCI-DSS, HIPAA, SOC 2, NIST), vendor-specific checks (Check Point, Palo Alto).

Categories: Access control, encryption, logging, segmentation, VPN, threat prevention, performance optimization, disaster recovery.

Customization: Fork rules, adjust thresholds, add exceptions, create rule packs for specific teams or environments. Version control your rule sets.

🎯

Rule Scoping

Apply rules to specific firewalls, zones, policy layers, or object groups. Environment-specific rules (dev/staging/prod) with different severity levels.

🔕

Exception Management

Suppress false positives with documented exceptions. Time-limited waivers with automatic expiration. Approval workflows for exception requests.

📊

Rule Testing

Test custom rules against sample policies before deployment. Dry-run mode shows what would be detected. Rule effectiveness metrics and tuning recommendations.

Reporting & Executive Dashboards

Transform security data into actionable insights for technical teams and leadership

Technical Reports

Scan Results: Detailed findings with severity, affected rules, remediation steps, code snippets. Filterable by criticality, category, firewall, zone.

Policy Analysis: Rule coverage heatmaps, shadowing visualization, redundancy graphs, object usage statistics, performance impact assessment.

Formats: HTML with interactive charts, PDF for distribution, JSON/XML for automation, CSV for spreadsheet analysis, SARIF for IDE integration.

Compliance Reports

Regulatory Frameworks: PCI-DSS network segmentation validation, HIPAA PHI access controls, SOC 2 security logging, GDPR data transfer restrictions.

Evidence Collection: Automated documentation for auditors, control effectiveness testing, gap analysis with remediation plans, historical compliance trending.

Audit Trail: Who changed what and when, approval records, exception justifications, policy snapshots with cryptographic integrity.

*PolicySafeguard aids compliance efforts but does not guarantee regulatory compliance. Organizations remain responsible for meeting all applicable regulations.

Real-Time Dashboards

📈

Security Posture

Overall risk score, trend over time, critical issues, remediation velocity

🎯

Policy Metrics

Total rules, utilization rates, shadowing percentage, cleanup opportunities

CI/CD Integration

Scans per day, pass/fail rates, average scan duration, pipeline gate effectiveness

Compliance Status

Control coverage, requirement mapping, finding aging, audit readiness score

Air-Gapped & On-Premise Deployment

Complete data sovereignty with zero cloud dependency

Offline Installation Package

Fully Contained: Single installer bundle with all dependencies, no internet connection required. Includes analysis engine, web UI, database, documentation.

Deployment Options: Docker Compose stack, Kubernetes Helm chart, native binaries for Linux/Windows/macOS. Automated setup with configuration wizard.

Updates: Offline update packages delivered via secure file transfer. Incremental patches or full version upgrades. Rollback capability for stability.

🔒

Data Privacy

Firewall policies never leave your network. All processing happens locally. No telemetry, no phone-home, no cloud analytics. Full control over sensitive security data.

🏢

Enterprise Features

SSO with Active Directory/LDAP, role-based access control (RBAC), multi-tenancy for MSPs, encrypted backups, HA clustering for critical environments.

📋

Compliance Ready

Meets government and financial sector requirements for data residency. FedRAMP, ITAR, classified network support. Audit logging to local SIEM.

API-First Architecture

Every feature accessible via REST API, webhooks, and CLI tools

RESTful API

Complete Coverage: All UI functions available via API. Scan policies, retrieve results, manage rules, generate reports, configure settings.

Developer Experience: OpenAPI 3.0 spec, interactive API explorer, Postman collection, code examples in 7 languages. Consistent error handling.

Performance: Rate limiting with burst capacity, request throttling, pagination for large datasets, async job processing for long scans.

Webhooks & Events

Event Types: Scan completion, policy violation detected, compliance status change, critical findings, scheduled report ready.

Reliability: Automatic retry with exponential backoff, dead letter queue for failed deliveries, webhook signature verification, delivery logs.

Integrations: Trigger workflows in Slack, create Jira tickets, update ServiceNow CMDBs, send alerts to PagerDuty, log to Splunk.

💻

CLI Tools

Command-line interface for CI/CD and automation. Cross-platform binaries (Linux, macOS, Windows). Shell completion, JSON output, exit codes for scripting.

📦

Client SDKs

Official libraries for Python, Go, JavaScript, Java, C#. Auto-generated from OpenAPI spec. Type-safe, idiomatic code. Comprehensive examples and documentation.

🔗

GraphQL

GraphQL endpoint for complex queries. Fetch exactly the data you need. Real-time subscriptions for live updates. GraphQL Playground for development.

See All Features in Action

Schedule a personalized demo to explore how PolicySafeguard fits your workflow