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The AgentID platform

Enterprise AI security and governance, where AI actually runs.

AgentID gives security and product teams a shared control layer for Shadow AI, sensitive data, AI agents, runtime policy, observability, audit trails and compliance evidence.

Runtime governance control plane

Govern employee AI,
applications and agents.

AI risk now appears in browser chat tools, custom product features, internal copilots and autonomous agents. AgentID gives teams a practical way to see AI activity, apply policy at the right control point, protect sensitive data, preserve evidence and review the actions that matter.

Learn what an AI governance platform should do
  1. 01

    Shadow AI visibility

    Discover and govern unmanaged AI use across tools such as ChatGPT, Claude, Gemini, Copilot and browser-based AI assistants.

    Explore Shadow AI governance
  2. 02

    Sensitive-data protection

    Apply policy before sensitive prompts, files, customer data, credentials or source code leave the approved control path.

    Read the AI DLP guide
  3. 03

    Agent governance and identity

    Connect agents to owners, approved purpose, scopes, tool limits, runtime policy, observability and revocation paths.

    Review Agentic Identity Protocol
  4. 04

    Audit trails and evidence

    Preserve policy decisions, runtime events and reviewable evidence for investigations, governance reviews and compliance work.

    See AI agent observability

Company-wide coverage

AI security follows
the work.

Employees use public AI. Teams build internal systems. Customers interact with your assistants. Connect these environments to a common layer of visibility and control.

Map your AI environment with us
AI SECURITY / CONTROL PATH ILLUSTRATIVE

Employee workspace

AI chat toolsWriting assistantsBrowser copilots
AgentIDPOLICY LAYER
Sensitive data in a prompt
Company data policyEnforce
Sensitive content blockedLogged

Give employees a safer way to use AI, with visibility into tools and data sharing.

Platform capabilities

See it. Set the rules. Stay in control.

01

Shadow AI

Bring employee AI use into view and apply company policies where work happens. Start with browser AI, then extend protection to your own applications.

Explore
02

AI application security

Runtime security for internal copilots, custom applications and customer-facing AI. Put checks between untrusted input and the systems it can reach.

Explore
03

Agent control

Control the tools, permissions and actions behind autonomous workflows. Keep a human decision point where the consequences matter.

Explore
04

Governance & evidence

Connect your AI policies to operational records. Help security, risk and compliance teams see how AI is used and how controls are applied.

Explore

Deployment that fits

Connect the environments you need to protect.

  1. 01

    Employee browsers

    Deploy browser protection for supported AI services. Establish visibility and data policies for employee AI use.

  2. 02

    Applications and APIs

    Integrate controls into custom AI request paths. Validate input, data handling and policy behavior with your team.

  3. 03

    Agent actions

    Connect controls at tool boundaries. Define access scopes, approval steps and records of execution.

Let’s talk AI security

Take control of AI in your business.

Start with the AI tools your people use. Build a plan for the systems you run.

Book a demo