AI Research
Runtime Governance for Agentic AI: Action-Boundary Control with Trusted Provenance and Fail-Closed Execution
Moving beyond prompt safety: How runtime governance secures AI agents against unauthorized operational side effects.
Agentic AI systems request tool actions that can modify files, send messages, launch jobs, or change workflow state. This shifts the safety problem from harmful text generation to harmful operational side effects. Prompt-level governance can shape model behavior, but it does not ...
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ArXiv CS.AI
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ArXiv CS.AI
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Aegis marks a crucial shift from relying on prompt-based safety to enforcing hard operational boundaries for autonomous systems. By treating AI tool requests as mere proposals, this framework establishes a verifiable chain of accountability that prevents unauthorized or dangerous actions.
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