ask-threats

Threat analysis for AI agent systems is performed using the ASK threat model to identify, categorize, and assess risks across traditional, novel, and hybrid threat classes. This approach maps risks and evaluates kill chains to guide defense-in-depth architecture design.

Evaluating kill-chain posture involves assessing injection, propagation, execution, and exfiltration stages to identify XPIA, MCP tampering, identity poisoning, and delegation risks. The analysis provides cross-stage risk assessment and recommended mitigations for each identified vulnerability.

Defensive architecture design for MCP and delegation ecosystems enforces constraints, mediation, and gateway-level protections. This framework-backed approach ensures defense-in-depth guidance is applied to mitigate risks identified during agent threat modeling.

Yes, this threat analysis approach comprehensively catalogs both traditional and novel AI agent threats. It applies the ASK threat model to hybrid threat classes, satisfying cross-stage risk assessment and defense-in-depth guidance across the entire agent attack surface.

A structured threat model is needed when comprehensive threat cataloging and cross-stage risk assessment are required for AI agents. It maps kill chains and defense-in-depth guidance for XPIA and delegation risks that ad-hoc reviews typically miss.

No, analyzing agent threats with the ASK framework requires no external dependencies. It operates as a standalone security framework to identify attack surface risks and provide defensive architecture guidance without needing additional software libraries or components.