How to improve the security, scalability and intelligence of your access control

Define what agents can see, request, and execute based on real-time context and unified data across systems.
Apply fine-grained authorization at every layer — agent-to-agent, model-to-API, and model-to-data — preventing overreach and data misuse.
Translate enterprise intent into adaptive controls that guide every AI decision dynamically, without human intervention.
Empower agents to act independently within well-defined trust boundaries, ensuring compliance, consistency, and accountability at scale.
Autonomy without oversight creates risk. AgentControl turns agentic speed into accountable intelligence, governing every action and decision with contextual understanding and control.
Agents access unpredictable or unverified data sources | Govern all agent interactions through real-time context |
Actions and API calls lack oversight or accountability | Enforce adaptive, context-driven authorization |
Context loss between data, model, and decision logic | Contain and explain AI actions at scale |
Compliance can’t keep up with AI speed | Enable innovation without losing control |
Authorization driven by data relationships, purpose, and consent in real time.
Manage how AI agents communicate, retrieve data, and trigger actions safely across systems.
Adjust agent permissions instantly as risk, context, or conditions change.
Trace every agent action back to data provenance and policy decisions.

See how contextual enforcement and model coordination make AI agents secure, compliant, and ready for enterprise scale.
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