AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack
NVIDIA says AI agent security needs enforceable boundaries and highlights OpenShell plus partner controls.
NVIDIA argues AI agent security requires enforceable controls across models, harnesses, and runtimes, not only instructions inside the model. Its open-source OpenShell runtime sandboxes execution and applies file, network, and process policy outside the agent's reach. Cisco DefenseClaw, JFrog, CrowdStrike SafeMind, Palo Alto Networks Prisma AIRS, Capital One VulnHunter, and ReversingLabs Spectra Assure are cited for governance, skill verification, continuous red teaming, and package analysis. The post says each deployment needs a scoped identity, human approval for consequential actions, and repeatable evidence that controls block unauthorized data export and privilege changes.