Agentic AI Risk Assess

Agentic AI Risk Assessment

Evaluate agentic AI applications against all 10 risk categories by following the full procedure in plays/agentic-ai-risk-assess.md.

Steps

1. Architecture Mapping — Identify agent type (single/multi-agent), autonomy level, tool ecosystem, memory systems, inter-agent communication protocols, and human oversight mechanisms.

2. Assess Each Agentic Top 10 Risk:

   • ASI01 Agent Goal Hijack — Hidden prompts, instruction override, silent exfiltration via copilot patterns
   • ASI02 Tool Misuse — Legitimate tools bent into destructive outputs, tool parameter manipulation
   • ASI03 Identity & Privilege Abuse — Leaked credentials, excessive permissions, agent operating beyond scope
   • ASI04 Agentic Supply Chain — Poisoned MCP/A2A components, runtime component tampering, dynamic ecosystem risks
   • ASI05 Unexpected Code Execution — Natural language execution paths leading to RCE, code generation vulnerabilities
   • ASI06 Memory & Context Poisoning — Long-term behavior manipulation via memory attacks, context window exploits
   • ASI07 Insecure Inter-Agent Communication — Spoofed messages, man-in-the-middle between agents, cluster misdirection
   • ASI08 Cascading Failures — False signals propagating through automated pipelines, escalating impact chains
   • ASI09 Human-Agent Trust Exploitation — Confident misleading explanations, social engineering of human operators
   • ASI10 Rogue Agents — Misalignment, concealment, self-directed action, emergent harmful behavior

3. Synthesize Findings — Assign severity based on exploitability and deployment context. Provide code locations, configuration gaps, and concrete remediation.

Output

Architecture overview, risk matrix (all 10 categories with status), detailed findings using templates/finding.md, positive controls observed, and prioritized recommendations.

OWASP References

• OWASP Top 10 for Agentic Applications 2026
• OWASP GenAI Security Project
• OWASP Agentic Security Initiative