AI Threat Modeling Adapts To Generative Risks

Security and engineering teams should adapt threat modeling practices to AI systems, the article says, highlighting generative and agentic models' unique risks. It identifies three drivers—nondeterminism, instruction‑following bias, and system expansion via tools and memory—and urges teams to protect assets beyond data, map prompt pipelines, and test for adversarial and accidental misuse to reduce real‑world harms.