CSA MAESTRO

Agentic systems combine models, data, tools, infrastructure, and other agents. MAESTRO, short for Multi-Agent Environment, Security, Threat, Risk, and Outcome, gives teams a structured way to examine threats at each layer and where layers interact.

MAESTRO's layers cover areas such as:

• Foundation models: Model vulnerabilities and behaviors.
• Data operations: Training, retrieval, and memory data.
• Agent frameworks: Orchestration and tool-use logic.
• Deployment infrastructure: Hosting, networks, and runtime environments.
• Agent ecosystem: Interactions among agents, users, and external systems.

MAESTRO also covers cross-cutting concerns such as observability, security, and compliance, and emphasizes threats that emerge between layers.

Organizations use MAESTRO during design reviews and increasingly in CI/CD pipelines to keep agent threat models current as systems change.

How PointGuard AI Helps

PointGuard AI AI Security Testing and AI Security Posture Management help teams validate the threats identified in MAESTRO models, while Agent Mission Control provides runtime controls at the agent and ecosystem layers.

Learn More

• Cloud Security Alliance: Applying MAESTRO to Real-World Agentic AI Threat Models
• Cloud Security Alliance: Threat Modeling OpenAI's Responses API with MAESTRO
• OWASP Top 10 for Agentic Applications