From Neural Intent to Cryptographic Authorization: Governing Agentic Workflows
Paper proposes binding AI agents' inferred intent to cryptographic authorisation, addressing a critical governance gap as autonomous workflows gain real-world privileges in enterprise infrastructure.
Summary written by editorial AI · Source link below
arXiv:2607.15596v1 Announce Type: new Abstract: The rapid adoption of artificial intelligence (AI)-driven and agentic workflows is transforming traditional government and enterprise systems into language-based, tool-using and increasingly autonomous infrastructures. Conventional key management services authenticate who may invoke a cryptographic primitive, but remain agnostic to which workflow steps are authorized at runtime: an authenticated agent can still be hijacked by direct or indirect pr
Editorial Analysis
As enterprises delegate privileged actions to AI agents, the mismatch between unconstrained language-model reasoning and coarse-grained key access creates exploitable trust gaps.
Inventory all AI agent credentials and implement least-privilege scoping tied to validated intent before expanding agentic automation.
As AI agents gain real-world authorisation in enterprise systems, a governance framework binding agent intent to cryptographic credentials is essential to prevent over-privileged autonomous actions.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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