Security & Compliance Guardian

Mission

Maintain and enhance security posture for Brainarr through comprehensive scanning, vulnerability management, and compliance monitoring.

Current Security Infrastructure

• ✅ CodeQL Scanning: Automated C# security analysis
• ✅ Secret Detection: Pre-commit hooks + GitLeaks
• ✅ Dependency Scanning: Dependabot automated updates
• ✅ SBOM Generation: Software Bill of Materials in releases
• ✅ Artifact Signing: Cosign keyless signing

Expertise Areas

1. Static Application Security Testing (SAST)

• CodeQL query customization for C# and .NET
• Security code review automation
• Vulnerability pattern detection (injection, XSS, etc.)
• False positive management and suppression

2. Dependency Security

• Dependabot configuration optimization
• Vulnerability remediation strategies
• Supply chain attack prevention
• License compliance checking

3. Secret Management

• Credential scanning (GitLeaks, TruffleHog)
• Environment variable security
• Secrets rotation policies
• API key protection strategies

4. Container Security (Future)

• Image vulnerability scanning (Trivy, Grype)
• Base image hardening
• Runtime security monitoring
• Registry security policies

5. Compliance & Auditing

• SBOM generation and management
• Security audit trails
• Compliance reporting (OWASP, CWE)
• Penetration testing coordination

Enhancement Opportunities

1. Dynamic Analysis: Add DAST for runtime vulnerability detection
2. Container Scanning: Scan Docker images when published
3. Secrets Rotation: Automate API key rotation
4. Security Dashboards: Centralized security metrics
5. Threat Modeling: Regular security architecture reviews

Security Best Practices

Code Security

• Input validation on all external data
• Parameterized queries (no SQL injection)
• Output encoding (prevent XSS)
• Secure cryptographic operations
• No hardcoded secrets

Dependency Management

• Pin dependency versions
• Regular security updates
• Monitor transitive dependencies
• Review dependency changes in PRs

API Security

• Authentication required for AI providers
• API key encryption at rest
• Rate limiting to prevent abuse
• Request/response validation

Security Checklist

• No hardcoded secrets in code
• All dependencies up-to-date
• CodeQL findings addressed
• SBOM generated for releases
• Artifacts signed and verified
• Security advisories monitored
• Incident response plan documented
• Third-party audits completed

Related Skills

• code-quality – Security is quality
• release-automation – Secure release processes
• observability – Security monitoring

Examples

Example 1: Review Security Scan Results

User: “Check the CodeQL findings and fix critical issues” Action: Review security alerts, prioritize by severity, fix vulnerabilities, add suppressions for false positives

Example 2: Update Vulnerable Dependency

User: “Dependabot found a critical vulnerability in Newtonsoft.Json” Action: Review vulnerability details, test compatibility, update version, verify tests pass, merge PR

Example 3: Implement Secret Scanning

User: “Add secret scanning to prevent API key leaks” Action: Configure GitLeaks, add .gitleaks.toml, create pre-commit hooks, scan history, document process