CtrlK
BlogDocsLog inGet started
Tessl Logo

multi-agentic-threat-model

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.

56

1.61x
Quality

33%

Does it follow best practices?

Impact

97%

1.61x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/multi-agentic-threat-model/SKILL.md
SKILL.md
Quality
Evals
Security

Multi-Agentic System Threat Modeling

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.

Steps

  1. MAESTRO 7-Layer Architecture Mapping — Decompose the system into CSA's layered reference architecture:

    • Layer 7: Agent Ecosystem — User-facing applications, agent marketplace, business integrations
    • Layer 6: Security & Compliance — Cross-cutting security controls, compliance frameworks
    • Layer 5: Evaluation & Observability — Monitoring, metrics, anomaly detection, performance tracking
    • Layer 4: Deployment & Infrastructure — Containers, orchestration, cloud/on-premise resources
    • Layer 3: Agent Frameworks — Orchestration logic, agent-tool bindings, routing decisions
    • Layer 2: Data Operations — Memory stores, vector databases, RAG pipelines, context management
    • Layer 1: Foundation Models — Core LLMs, model APIs, inference engines
  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:

    • Reasoning Collapse — Chain-of-thought breakdowns across agent delegation
    • Emergent Covert Coordination — Autonomous symbolic protocol development
    • Heterogeneous Multi-Agent Exploits — Coordinated attacks using diverse agent capabilities
    • Goal Drift in Delegated Chains — Intent mutation through agent handoffs
    • Trust Misuse Between Legitimate Agents — Strategic misreporting within valid roles
  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.

Output

Use the finding format from templates/finding.md. Produce:

  • MAESTRO 7-Layer Architecture Map — System decomposition across all layers
  • Layer-Specific Threat Assessment — Detailed analysis for each MAESTRO layer
  • Cross-Layer Attack Chain Analysis — Multi-layer threat scenarios
  • Extended Multi-Agent Threat Analysis — MAESTRO framework extensions
  • Architecture Pattern Risk Assessment — Pattern-specific vulnerabilities
  • Risk Prioritization Matrix — Likelihood vs. impact analysis
  • Layered Mitigation Strategy — Defense-in-depth recommendations

OWASP References

  • CSA MAESTRO Framework — 7-Layer Agentic AI Reference Architecture
  • OWASP Multi-Agentic System Threat Modeling Guide v1.0
  • OWASP Top 10 for Agentic Applications 2026
  • OWASP GenAI Security Project
Repository
OWASP/secure-agent-playbook
Last updated
Created

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.