AI agents introduce a fundamentally different threat model compared to traditional software. Key risks include prompt-injection attacks (made harder to remediate by LLM non-determinism), privilege escalation, cascading failures in multi-agent systems, and the 'lethal trifecta' — agents that simultaneously access private data,

6m read timeFrom thenewstack.io
Post cover image
Table of contents
Why agents change the threat modelHow to engineer against these risksGovernance as a competitive advantage

Sort: