Agentic consent governance layer for autonomous AI systems
A governance system that lets organizations control what AI agents may do on a user's behalf according to identity, intent, context, permitted actions, scope, and delegation lifetime. Consent changes with the environment rather than remaining a one-time checkbox approval.
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From IBM Technology — Agentic Consent Explained: How AI Agents Act Safely and Responsibly at 00:15
Problem: Static permissions do not adequately control autonomous agents because agents can reason, change scope, involve other agents, and operate in dynamic or non-deterministic environments. The system preserves human control while allowing agents to act with users rather than instead of them.
For: Organizations operating AI agents that can autonomously execute actions, access information, or involve multiple agents and systems.
Examples
- Email-agent access: allow the agent to read email while preventing it from sending or deleting email.
Behind this: 14 build steps · how to validate demand · 3 more real examples · 8 things the video never answers.
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