MAESTRO
AssessTechniques
A threat modeling approach for assessing risks in AI agent systems.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by security coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 5InfoQ·6/30/2026securitySecuring AI-Accelerated Development
Sriram Madapusi Vasudevan outlines security patterns for autonomous AI agents used in production development workflows. He highlights risks in the ReAct loop, including context, reasoning, and tool-execution vulnerabilities, and discusses mitigations such as defense-in-depth, LLM-as-a-judge critics, and MAESTRO threat modeling.