agent-security-audit
Audit AI agent configurations for security risks — excessive permissions, prompt injection surfaces, data exfiltration paths, and…
Comprehensive threat modeling for multi-agent systems using CSA MAESTRO 7-layer framework and OWASP Multi-Agentic System Threat Modeling Guide v1.0. Systematically analyzes threats across all architectural layers from foundation models to agent ecosystems.
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Comprehensive threat modeling for multi-agent systems using CSA MAESTRO 7-layer framework and OWASP Multi-Agentic System Threat Modeling Guide v1.0. Systematically analyzes threats across all architectural layers from foundation models to agent ecosystems.
name: multi-agentic-threat-model description: Comprehensive threat modeling for multi-agent systems using CSA MAESTRO 7-layer framework and OWASP Multi-Agentic System Threat Modeling Guide v1.0. Systematically analyzes threats across all architectural layers from foundation models to agent ecosystems. allowed-tools: Read, Grep, Glob, Bash, WebFetch, Agent
Conduct comprehensive threat modeling for multi-agent systems using the Cloud Security Alliance (CSA) MAESTRO framework's 7-layer architecture and OWASP Multi-Agentic System Threat Modeling Guide v1.0.
1. **MAESTRO 7-Layer Architecture Mapping** — Decompose the system into CSA's layered reference architecture:
2. **Layer-Specific Threat Analysis** — Identify threats unique to each MAESTRO layer using CSA taxonomy.
3. **Cross-Layer Threat Assessment** — Analyze attack chains that span multiple layers (supply chain attacks, lateral movement, privilege escalation, data leakage cascades).
4. **Extended Multi-Agent Threats** — Apply MAESTRO framework extensions for complex multi-agent scenarios:
5. **Architecture Pattern Risk Assessment** — Evaluate specific multi-agent patterns (supervisor-agent, hierarchical, distributed ecosystem, human-in-the-loop).
6. **Mitigation Strategy Development** — Design layer-specific, cross-layer, and AI-specific security controls.
Use the finding format from `templates/finding.md`. Produce:
An open-source security playbook for AI agents. Structured, OWASP-grounded procedures that enable agents to perform security engineering tasks — from code review to AI agent security audits.
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