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MAESTRO Threat Modeling Framework is Agent-Wiz's Core Approach to Analyzing AI Workflow Security Risks

2025-08-25 1.5 K

Systematic security analysis capabilities of the MAESTRO framework

MAESTRO (Methodical Analysis and Evaluation of System Threats through Risk Observation) is a structured evaluation framework designed for AI intelligences. In Agent-Wiz, the framework performs the analysis in 6 steps: first identifying the core mission objectives of the system; then mapping key assets such as intelligences, API keys, etc.; then analyzing attack entry points such as external interfaces; evaluating existing controls such as encryption; and finally calculating the probability of potential impact of the vulnerability.

Specific analysis will check: whether the data flow passes through sensitive areas, whether there is over-authorization in the distribution of rights, whether the log records are complete and other 12 types of risk indicators. For example, the analysis report for AutoGen workflow will clearly point out the risk of man-in-the-middle attacks that may be caused by unencrypted RPC communications.

Compared to traditional STRIDE models, MAESTRO pays special attention to AI-specific threat scenarios, such as cue word injection, model stealing, and other attack tactics, and the output report contains CVSS scores and specific hardening recommendations.

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