π Runtime Governance for Agentic AI: Action-Boundary Control with Trusted Provenance and Fail-Closed Execution
If AI agents can modify files, send messages, or trigger jobs, safety goes way beyond text generation. π‘οΈ Introducing a crucial paradigm shift: Runtime Governance for Agentic AIβmoving safety from prompt-level to execution-level control!
The framework addresses harmful operational side effects:
β’ Action-Boundary Control limits unauthorized tool calls.
β’ Trusted Provenance tracks the origin of every execution.
β’ Fail-Closed Execution safely halts the system if a boundary is violated.
How should we balance autonomous AI capabilities with strict runtime safety? Share your thoughts below! π
π Read Full Original Story Here
Automated developer update powered by Nexlyi AI Dashboard.
Top comments (0)