Product

AgentControl

Granular control and dynamic security for AI agents

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A conceptual diagram showing AgentControl

Enable autonomy without losing control

Coordinate AI agent behavior

Define what agents can see, request, and execute based on real-time context and unified data across systems.

Protect sensitive data

Apply fine-grained authorization at every layer — agent-to-agent, model-to-API, and model-to-data — preventing overreach and data misuse.

Maintain policy alignment

Translate enterprise intent into adaptive controls that guide every AI decision dynamically, without human intervention.

Enable safe autonomy

Empower agents to act independently within well-defined trust boundaries, ensuring compliance, consistency, and accountability at scale.

A conceptual diagram showing IndyKite Platform with AgentControl

Turn agentic AI into accountable intelligence

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
  • Actions and API calls lack oversight or accountability
  • Context loss between data, model, and decision logic
  • Compliance can’t keep up with AI speed
  • Govern all agent interactions through real-time context
  • Enforce adaptive, context-driven authorization
  • Contain and explain AI actions at scale
  • Enable innovation without losing control

Enterprise-grade safeguards for agentic AI

Context-aware enforcement

Authorization driven by data relationships, purpose, and consent in real time.

Secure model coordination (MCP)

Manage how AI agents communicate, retrieve data, and trigger actions safely across systems.

Dynamic policy orchestration

Adjust agent permissions instantly as risk, context, or conditions change.

Traceability and explainability

Trace every agent action back to data provenance and policy decisions.

A codeblock displaying code for AgentControl

Deploy agentic AI you can trust

  • Deploy enterprise-grade AI agents securely
  • Enforce contextual control across data, APIs, and models
  • Ensure every agent action is auditable and policy-aligned
  • Build compliant, explainable agent ecosystem
Product sheet cover for IndyKite AgentControl, titled 'AgentControl: Dynamic security and granular control for autonomous AI agents.' The background is a dark, isometric diagram illustrating user, federated identity, AI agents, and tools workflow with glowing lens flares.

AgentControl product sheet

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

Download Product sheet
AgentControl Architecture Guide cover

AgentControl Architecture Guide

Learn how AgentControl secures enterprise AI workflows with policy enforcement, delegation chain tracking, and real-time auditability across every agent, tool, and resource.

Download guide

Experience the power of
real-time, trusted data

Apply live context and control to enterprise AI

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Resources

Blog

How to prepare for EU AI Act compliance

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Guides & Whitepapers

The Enterprise Guide to EU AI Act Compliance

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News

Breakthrough AI wellbeing platform movemove selects IndyKite to power trusted AI

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