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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. But, unlike traditional software, AI agents adapt, replan, and continue working toward the task they've been given, often without oversight.

Gain visibility into AI agent behavior, governance over what trusted AI agents are allowed to do, and real-time control where AI actions occur — the endpoint.

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Built to extend Airlock Digital Preventative Endpoint Security
Governs Agentic AI at the endpoint
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 visibility into what they're doing and control over how they behave. Airlock Digital extends AI governance to the endpoint, providing the visibility, control and enforcement needed to confidently deploy Agentic AI at scale. Organizations can see what runs and understand what it is doing after it is running.

Govern AI at the endpoint

Access real endpoint visibility and control, showing every command, file, and action while enforcing what trusted AI agents are allowed to do in real time.

Understand AI agent behavior — not just inventory

Govern AI using session-level visibility into commands, files, risk activity, credential exposure, and token usage.

Protect the shared endpoint

Protect people, applications and trusted AI through one consistent preventative security model with centralized visibility.

Extend native AI governance

Complement native AI controls with independent endpoint visibility and enforcement allowing you to operate within enterprise 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
→
Discover AI agents and understand AI agent behavior
Standardize trusted Agentic AI tools
→
Define what trusted AI agents are allowed to do
Block unapproved Agentic AI applications
→
Govern AI agent behavior in real time
Prevent Shadow AI
→
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 AI agent behavior in real time, and demonstrate governance with evidence.

01

See Every Agent

Discover Agentic AI applications and agents operating across enterprise endpoints with visibility into AI agent sessions and activity.

02

Define Trust Boundaries

Define what trusted AI agents are allowed to access, execute, and interact with, then refine policies as adoption evolves.

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, search, and capture AI agent activity in a centralized view across sessions, commands, files, policy decisions, risk activity, and token usage.

Product Highlights

How Agentic AI Control & Governance Works

See how Airlock Digital helps organizations discover and govern AI agents, define trusted operating boundaries, and share visibility of policy compliance.

Discover AI agents before they become blind spots

Discover Agentic AI applications and agents operating across enterprise 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 to investigate quickly and demonstrate governance with evidence.

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 →
Request a demo

See What Your AI Agents are Really Doing

Airlock Digital helps organizations discover and define what trusted AI agents are allowed to do while governing AI agent behavior at the endpoint.

  • Discover Agentic AI applications and AI agents operating across enterprise endpoints
  • Define trusted operating boundaries for supported AI agents
  • Govern AI agent behavior in real time
  • Investigate AI agent sessions, policy decisions, and risk activity through a single interface
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