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Agentic AI Control & Governance

AI agents don't stop when they're blocked. They adapt.

Organizations are rapidly adopting Agentic AI to increase productivity and automate work. Unlike traditional software, AI agents adapt, replan, and continue working toward objectives, often without oversight.

Gain visibility into AI agent behavior, define what trusted AI agents are allowed to do, and govern where AI actions occur — the endpoint.

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Why this matters, by the numbers
82%
of organizations have found AI agents running that IT never knew about
Cloud Security Alliance, The Shadow AI Agent Problem in Enterprise Environments
$4.63M
average breach cost for organizations with high levels of Shadow AI
IBM Cost of a Data Breach 2025
65%
of organizations have already had an AI agent security incident
Cloud Security Alliance, The Shadow AI Agent Problem in Enterprise Environments
A different approach to governing Agentic AI

AI Governance Doesn't End at the AI Platform

As AI agents become active participants on the endpoint, organizations need more than what AI platforms control. They need visibility into what trusted AI agents are doing, centralized policy management, and independent enforcement where AI actions occur. Airlock Digital extends AI governance to the endpoint, helping organizations confidently deploy Agentic AI at scale.

Govern AI at the endpoint

Gain command- and session-level visibility into AI activity while defining and enforcing what trusted AI agents are allowed to do.

Understand AI agent behavior — not just inventory

Monitor AI sessions, commands, files, credential exposure, risk activity, token usage and cost from one view.

Manage Application and AI Policies in One Place

Manage policies for trusted applications and trusted AI agents together from one place, with version-controlled policy changes and granular control over who can manage policy.

Extend native AI governance

Complement native AI controls with independent endpoint policy enforcement across Microsoft Copilot, Claude and Codex, helping ensure trusted AI agents operate within organizational policy.

What changes

Application control today, extended.

Together, Application Control and Agentic AI Control & Governance extend preventative endpoint security beyond execution control, giving organizations one place to manage policies for trusted applications and AI agents while governing AI behavior where actions occur.

Application control today
Extended with Agentic AI Control & Governance
Discover Agentic AI applications across endpoints
→
Discover AI agents and understand AI agent behavior
Standardize and enforce trusted Agentic AI tools
→
Define what trusted AI agents are allowed to do
Block unapproved Agentic AI applications from executing
→
Govern AI agent behavior in real time
Prevent Shadow AI from spreading
→
Monitor AI agent activity, risk, and cost
Govern what trusted AI agents do

What You Can Do with Agentic AI Control & Governance

Understand AI agent behavior, define trusted operating boundaries, govern actions in real time, and demonstrate governance with evidence.

01

See Every Agent

Automatically discover Agentic AI applications and AI agents across endpoints to establish the visibility needed for informed governance.

02

Define Trust Boundaries

Centrally manage policies for trusted applications and trusted AI agents with version-controlled policy changes and granular control over who can manage policy.

03

Govern Every Action

Evaluate AI agent commands against policy in real time; communicate policy decisions back to AI agents so they adjust their behavior.

04

Prove It

Monitor and search AI agent sessions, commands, files, policy decisions, risk activity, token usage, and cost from a centralized dashboard.

Product Highlights

How Agentic AI Control & Governance Works

See how Airlock Digital helps organizations discover AI agents, define trusted operating boundaries, govern AI behavior, and demonstrate policy compliance.

Discover AI agents before they become blind spots

Automatically discover Agentic AI applications and AI agents across endpoints. See what's installed, where it's running, and how it's being used.

Application Context report showing discovered AI applications on endpoints

Define what trusted AI agents are allowed to do

Set clear operating boundaries for trusted AI agents, including commands they can execute, files they can access, and resources they can interact with.

Agentic Control rule sets defining block rules for AI agent commands

Govern AI agent behavior in real time

Evaluate AI agent commands in real time and enforce policy that keeps trusted AI agents operating within defined boundaries.

Agentic session details showing command events and a blocked command

Demonstrate governance with evidence

Monitor AI agent sessions, policy decisions, risk activity, credential exposure, token usage, and estimated cost from a single view.

Agentic Control dashboard summarizing sessions, blocked commands, and token usage
Resources

Learn More About Governing Agentic AI

Webinar

Redefining Application Control for a Post AI World

Forrester's Paddy Harrington joins Airlock on why application control needs to evolve for a post-AI world.

Watch on-demand →
Webinar

Securing Your Endpoint in the AI Age

Why Deny by Default is more critical than ever in a world where AI can generate infinite unverified binaries.

Watch on-demand →
Blog

Taking Control of Agentic AI Workers with a Prevention First Approach

Why signatures and blocklists fail against AI agents that adapt, and how Deny by Default stops them anyway.

Read the post →
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See What Your AI Agents are Really Doing

Discover AI agents, define trusted operating boundaries, and govern AI behavior where actions occur — the endpoint.

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