MAESTRO Sentinel
AI-powered threat modelling tool built for agentic AI systems using CSA's MAESTRO framework.
What it does
An AI-powered threat modelling tool purpose-built for multi-agent and agentic AI systems. Based on the Cloud Security Alliance's MAESTRO 7-layer framework. Analyses architecture descriptions or connects to GitHub repos to identify threats per layer with mitigation recommendations.
Security relevance
MAESTRO is becoming the de facto threat modelling framework for agentic AI. Sentinel makes it actionable — not just a paper framework but a running tool. Identifies both traditional and agentic-specific threats (non-determinism, autonomy, trust boundary issues) across all seven MAESTRO layers. Maps to four OWASP Agentic Top 10 entries: ASI02 (Tool Misuse), ASI07 (Inter-Agent Communication), ASI08 (Cascading Failures), and ASI10 (Rogue Agents). Purpose-built for the multi-agent orchestration security gap that traditional tools miss.
When to use it
Use when threat modelling multi-agent or agentic AI systems. Free tier offers 3 scans per month. Provide a detailed architecture description for best results — the better the input, the more grounded the threat model. Can also scan GitHub repos directly for code-level findings.
OWASP coverage
Risks addressed — mapped to both OWASP Top 10 standards. 4 in LLM, 4 in Agentic.
The raw record
What Yuntona stores. Single source of truth — fork it on GitHub.
name: MAESTRO Sentinel slug: maestro-sentinel type: Mixed category: AI Red Teaming url: https://maestro-sentinel.com reviewed: 2026-04 added: 2026-04 updated: 2026-04 risks: llm: [LLM01, LLM02, LLM07, LLM08] asi: [ASI02, ASI07, ASI08, ASI10] complexity: Guided Setup pricing: — audience: Red Team lifecycle: [scope] tags: [Agentic, CSA, Threat Model, Tool]