Shrike | AI Governance for Every AI Interaction

# Shrike > AI governance for every AI interaction. From employees using ChatGPT to autonomous agents executing code — Shrike evaluates, governs, and audits every AI interaction with a 9-layer cognitive pipeline and patent-pending hardware enforcement. ## What Shrike Is Shrike is the independent governance layer for AI interactions. It governs AI agents, LLMs, and MCP tools — evaluating every prompt, response, and agent action against organizational policy. Whether the interaction comes from an employee using ChatGPT, a developer using Copilot, an autonomous AI agent, or a customer-facing chatbot — one 9-layer cognitive pipeline, eight integration surfaces, every AI interaction evaluated before data leaves or actions execute. ## Who Shrike Serves - **CISOs & Security Leads**: Get visibility into all AI usage across the organization — sanctioned and shadow. Full audit trail for compliance. - **AI Platform Engineers**: Secure LLM API calls in production. PII detection, prompt injection blocking, multi-agent orchestration security. - **Engineering Leads & CTOs**: Protect proprietary code from leaking through AI coding assistants (Copilot, Claude Code, Cursor). - **Compliance & GRC Teams**: Audit trails for every AI interaction. Compliance mapping for SOC 2, HIPAA, PCI-DSS, NIST AI RMF, EU AI Act, FedRAMP. ## What Shrike Governs - **Prompt Injection**: Detects and blocks direct and indirect prompt injection in real-time - **Data Leakage / DLP**: Prevents sensitive data (PII, credentials, proprietary code) from reaching AI models - **Shadow AI**: Discovers and governs unsanctioned AI tool usage across the workforce - **Jailbreaks**: Blocks attempts to override AI model safety constraints - **Multi-Turn Manipulation**: Identifies adversarial patterns across the full interaction lifecycle - **Agent Action Governance**: Human-in-the-loop approval for high-risk autonomous agent actions - **Agent Delegation Chain**: Tracks sub-agent trees with scope governance a