SOLUTION

Secure your AI agents

Name: AgentControl
Brand: IndyKite

Enable trusted, fine-grained control for autonomous and multi-agent AI systems

Diagram showing secure AI agent control with authorized and blocked system access paths.

Contextual access control

Dynamic enforcement

Trusted data use

Static, role-based rules can’t keep up with autonomous and multi-agent systems. Use connected data, relationships, and live context to decide who can access what, why, and under which conditions.

Permissions aren't enough - AI agent security requires context and fine-grained control

Granular access control

Authorize every agent action with precision. Fine-grained policies extend beyond roles to attributes, APIs and data interactions — ensuring agents only access what’s relevant and permitted.

Context-aware enforcement

Evaluate each request in real time using trusted data, relationships, purpose, sensitivity and consent across agents, tools and services.

Dynamic policy intelligence

Adjust permissions automatically as data, agents and risk signals evolve — maintaining compliance without slowing innovation.

Decision traceability

Capture every decision with full context, data provenance, and governing policies — ensuring visibility into how actions are taken and enabling future decisions to draw on trusted context and prior outcomes.

AI agents need more than rules — they need understanding. IndyKite provides the data trust and control layer to make responsible autonomy possible.

Confidently deploy AI agents in your enterprise environment

Enforce real-time authorization through graph-based, fine grained access control
Prevent misuse with purpose-based, adaptable and contextual policies.
Gain full visibility into agent behaviour and decision-making.
Control agent access and usage across structured and unstructured data
Scale AI innovation securely — with confidence and compliance built in.