Securing agentic AI with intent-based permissions

Source: Help Net Security

Author: Help Net Security

URL: https://www.helpnetsecurity.com/2025/10/10/agentic-ai-intent-based-permissions/

ONE SENTENCE SUMMARY:

The evolution of IAM is shifting from action-based to intent-based permissions to enhance security with agentic AI and autonomous systems.

MAIN POINTS:

1. Seatbelts were initially sufficient for safety; technology evolved to include airbags and adaptive systems.
2. IAM’s current limit is action-based permissions, requiring evolution due to AI and autonomous agents.
3. Action-based permissions work for humans, providing compliance and audit trails but are insufficient for AI.
4. Broad access permissions lead to new risks, while strict guardrails frustrate users.
5. Intent-based permissions analyze the “why,” adding semantic awareness to IAM.
6. Intent-based permissions prevent unauthorized actions by considering task, data sensitivity, and risk signals.
7. Autonomy with intent-based systems balances productivity and security by reducing blind spots.
8. It extends zero trust and least privilege principles to address AI’s unique challenges.
9. Action-based and intent-based governance together enhance both protection and adaptability.
10. Transitioning to intent-based IAM involves auditing, integrating context-aware engines, and unifying frameworks.

TAKEAWAYS:

1. Intent-based IAM is essential for managing agentic AI and ensuring security.
2. Permissions must evolve to assess actions’ purposes and contexts.
3. AI agents’ novel operations necessitate a shift in IAM strategy.
4. A phased approach is required for transitioning to intent-based systems.
5. Combining action-based and intent-based models enhances IAM’s effectiveness.