Airlock Digital, a leader in preventative endpoint security, today announced the launch of Agentic AI Control & Governance at Black Hat USA 2026. The new capabilities extend the company’s existing application control solution by providing visibility into trusted AI agent behavior and real-time governance over what those agents are allowed to do on endpoints.
As AI agents become an integral part of enterprise workflows, traditional endpoint security—designed to govern applications, not autonomous software—falls short. Airlock Digital’s solution addresses this gap by adding a second layer of policy: once an AI agent is trusted to execute, organizations can define operational boundaries, monitor agent activity, and enforce policy in real time.
Key Features of Agentic AI Control & Governance
- Automated Discovery: Automatically discover AI applications and gain command- and session-level visibility into AI agent behavior.
- Centralized Policy Management: Manage policies for both trusted applications and AI agents with version-controlled changes and granular administrative controls.
- Real-Time Policy Enforcement: Evaluate AI agent commands against policy and communicate decisions back to supported agents, allowing them to adapt their behavior while staying within policy.
- Comprehensive Governance Dashboard: Monitor and search AI agent sessions, commands, files, policy decisions, risk activity, token usage, and cost from a single dashboard.
The urgency for such governance is underscored by recent data from the Cloud Security Alliance, which reported in April 2026 that 82% of organizations had unknown AI agents running in their environments and 65% had experienced an AI agent-related security incident in the prior 12 months.
“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,” said David Cottingham, Co-founder and Chief Product Officer at Airlock Digital. “AI agents don’t simply stop when an action is blocked; they evaluate alternatives and continue working toward their objective. Rather than repeatedly blocking an agent, organizations can communicate clear operational boundaries, allowing trusted agents to adapt their behavior while remaining within policy.”
CEO Kevin Dunne added, “What we’re hearing from customers is that the challenge isn’t adopting Agentic AI; it’s governing it. Organizations need to understand what trusted AI agents are doing, define what they’re allowed to do, and ensure they operate within organizational policy. Agentic AI Control & Governance extends our leadership in preventative endpoint security by giving organizations the visibility and governance they need to confidently adopt AI without slowing the business down.”
Airlock Digital will demonstrate Agentic AI Control & Governance at Black Hat USA 2026 in Las Vegas. Visit Booth #5729 for an exclusive preview ahead of customer general availability in Q3 2026. For more information, read the company’s blog post: AI Agents Behave More Like Employees Than Applications.
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