Agentic AI Usage Control

Control what agentic agents can do. Steer how they proceed.

Airlock Digital Agentic Steering applies company-defined security policies to agentic agent activity at the endpoint. It evaluates commands before execution, giving organizations control over what agentic agents can do and steering them to operate within approved boundaries.

Security and IT teams can define command rules, provide policy context or approved alternatives when actions are denied, and centrally review agent sessions, commands, policy decisions, and outcomes.

 

 

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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
Application Control adapted for agentic activity

Block the command. Steer the agent.

 Traditional Application Control determines which applications, scripts, and files are authorized to execute.

Agentic agents introduce a different challenge. They act autonomously on the endpoint and can pursue alternative paths when a command is denied. A notification designed for a person doesn't tell the agentic agent how to proceed. 

Airlock Digital Agentic Steering communicates the policy decision directly to the agentic agent, along with context or an approved alternative, so it can adjust its approach and continue working within company-defined boundaries. 

Define permitted actions

Create centrally managed rules that specify which commands and actions supported agentic agents are permitted to initiate.

See what AI agents attempt

Discover supported agentic agents and review the actions they initiate, organized by type, endpoint, and session.

Enforce before execution

Evaluate each proposed endpoint action against Airlock Digital policy before the supported agentic agent executes it.

Return actionable decisions

Deliver allow or deny decisions directly to the agentic agent, with administrator-provided context or an approved alternative where configured.

What changes

Application Control Today, Extended

Together, Application Control extended to Agentic AI provide one consistent approach to governing trusted applications and Agentic Agents.

Application control today
Extended with Airlock Digital Agentic Usage Control
Discover and standardize agentic tooling
→
Define what supported agentic agents are permitted to execute
Block unapproved agentic applications from running
→
Evaluate agent-initiated commands and actions against policy before execution
Apply centrally managed Deny by Default application control policy
→
Apply agent-specific and command-level rules to supported agentic agents
Notify users when application execution is blocked
→
Provide context to supported agentic agents when a decision is made to steer the conversation
Product Highlights

How Airlock Digital Agentic Steering Works

See how Airlock Digital helps organizations discover supported agentic agents, define what they are permitted to execute, apply policy before execution, and track agentic agent activity and policy decisions.

Discover agentic applications and see their endpoint activity

Identify agentic applications across your environment and see where they are running, including publisher, file, version, and application context.

Application Context report showing discovered AI applications on endpoints

Define what agentic agents are permitted to execute

Create centrally managed rules for agent commands and define what happens when an action isn't permitted, including blocking the command, locking the session, or steering the agent.

Agentic Control rule sets defining block rules for AI agent commands

See policy applied to agent activity

Review agent commands at the session level and see how policy is applied as agents operate on the endpoint.

Agentic session details showing command events and a blocked command

Understand agent activity and control outcomes

Gain visibility into enforcement outcomes and usage.

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

Learn More About Controlling Agentic Agents

Webinar with Forrester

Redefining Application Control for a Post AI World

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

Watch On-Demand
Guide

See, Govern, Restrict:
A Five-Step Blueprint for Agentic AI Control

Learn how to bring agentic AI under control with a five-step framework for discovering, standardizing, governing, restricting, and monitoring AI agents across the enterprise.

Read the Guide
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 Blog
Book a Meeting

See What Your Agentic Agents are Doing

See agentic activity, define what agentic agents are permitted to execute, and apply policy to agent-initiated actions at the endpoint.
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