Airlock Digital Launches Agentic AI Control & Governance to Manage Endpoint AI Agents
Airlock Digital introduces Agentic AI Control & Governance, a new endpoint security feature that provides visibility and policy management for trusted AI agents operating on organizational endpoints.
Airlock Digital has unveiled its new Agentic AI Control & Governance solution, designed to extend preventative endpoint security by offering granular visibility and policy enforcement for trusted AI agents. Announced at Black Hat USA 2026, this capability addresses the growing challenge of managing autonomous AI software that operates on endpoints, moving beyond traditional application control.
The new feature builds upon existing application control mechanisms by providing command- and session-level visibility into the behavior of trusted AI agents. Organizations can now centrally manage policies for both traditional applications and these AI agents, establishing real-time governance over their actions. This ensures that AI agents operate within defined organizational policies and compliance requirements.
The urgency for such controls is underscored by recent industry data. A Cloud Security Alliance report indicated that 82% of organizations have unknown AI agents running in their environments, and 65% have experienced an AI agent-related security incident in the past year. This highlights a critical gap in current security postures, which were not designed for the autonomous nature of AI agents.
"Traditional endpoint security determines what software is trusted to execute. Agentic AI introduces a second layer of policy: what a trusted AI agent is allowed to do once it's running," explained David Cottingham, Co-founder and Chief Product Officer at Airlock Digital. He noted that AI agents often continue working towards their objectives even when an action is blocked, necessitating clear operational boundaries rather than simple blocking.
Agentic AI Control & Governance aims to empower security and IT teams by automating the discovery of AI applications and providing deep insights into AI agent behavior. It offers centralized policy management with version control and granular administrative capabilities, allowing for real-time evaluation of AI agent commands against defined policies.
Furthermore, the solution enables organizations to demonstrate robust AI governance through comprehensive monitoring and search functions. Security teams can track AI agent sessions, commands, file interactions, policy decisions, risk activities, and token usage from a unified dashboard. This provides an independent layer of governance directly at the endpoint where AI agents execute commands and interact with applications.
"What we're hearing from customers is that the challenge isn't adopting Agentic AI; it's governing it," stated Kevin Dunne, CEO of Airlock Digital. "Organizations need to understand what trusted AI agents are doing, define what they're allowed to do, and ensure they operate within organizational policy." The new capabilities aim to provide the necessary visibility and governance for organizations to confidently adopt AI without compromising security or slowing business operations.
Airlock Digital plans to make Agentic AI Control & Governance generally available to customers in Q3 2026. The company will be demonstrating the new features at Booth #5729 during Black Hat USA 2026 in Las Vegas.