TLDR InfoSec · MISCELLANEOUS

AGENTIC AI THREAT MODELING FRAMEWORK: MAESTRO

cloudsecurityalliance.org8 min read

Summary from the TLDR InfoSec newsletter

MAESTRO is a threat modeling framework that was built to address gaps in traditional threat modeling frameworks like STRIDE and PASTA related to the unique challenges that are inherent in AI systems. It is designed for multi-agent environments and is based on a seven-layer reference architecture that spans from the agent ecosystem at the top to foundational models at the bottom. The model also provides threat modeling examples of agentic architecture patterns such as single agent, multi agent, unconstrained conversational autonomy, human in the loop, and task-oriented agents.