· Updated
As AI moves from chat to autonomous agents, the risk of "confused-deputy" behavior increases, where agents are manipulated into misusing authorized permissions. Current defenses are often insufficient for long-running workflows prone to cascading failures. This research provides a roadmap for securing systems that independently execute multi-step tasks in open-world environments.
You can review the proposed layered defense stack, including input-level mitigations, sandboxed execution, and deterministic policy enforcement. These recommendations align with NIST risk management principles and serve as a blueprint for building production-grade agentic systems. The full research paper is available on arXiv for teams developing secure architectures.
Today, we're launching the Secure Intelligence Institute. SII partners with top cryptography, security, and ML teams to advance security research and industry collaboration. It is led by Dr. Ninghui Li at Purdue. https://t.co/Uga9SxgLBn https://t.co/Bnj5DWYN58
