SOLUTION

AI agent security

Name: IndyKite AgentControl
Brand: IndyKite

Control how AI agents access data, use tools, and execute actions across enterprise systems - at runtime.

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

Contextual access control

Dynamic enforcement

Trusted data use

AI agent security depends on controlling what agents can do, not just what they can access.

Govern every agent action

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 real-time 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.

Enable AI agents to act with precision across data, systems, and workflows

AI agent security at enterprise scale

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.