FireRaven RedRaven is an automated AI red-teaming and penetration testing platform designed to identify security and compliance gaps in AI agents and copilots. How it works: - Users configure tests by describing their use case and business context, selecting compliance frameworks (e.g., ISO/IEC 42001, HIPAA, SOC 2), and specifying custom policies and test depth - RedRaven generates and executes large test suites covering prompt injection, jailbreaks, data exfiltration, restricted topic violations, and policy evasions - Tests combine known attack patterns with proprietary multi-blended methods, using dynamic prompts rather than static lists - Results are presented as audit-ready reports with pass rates per policy and test category, risk scoring, and prioritized vulnerability findings - Recommended controls and policies can be exported directly to FireGuard (FireRaven's companion enforcement product) for production guardrail deployment Key capabilities: - Low-code configuration via guided inputs, no custom scripting required - Tests can run in a sandbox or against a live environment - Coverage spans 1000+ risk categories including drift, blind spots, and emerging threats - Framework alignment with NIST, OWASP, MITRE, ISO/IEC 42001, HIPAA, SOC 2, and custom organizational policies - Supports CI/CD integration and periodic runs for continuous assurance - Collaborative remediation guidance for security, product, and engineering teams - Generates audit-ready evidence reports suitable for enterprise and regulatory reviews RedRaven is positioned as a replacement for manual AI security reviews, enabling teams to test AI systems in a repeatable, automated manner without building a custom pentesting framework.