Webinar Description
Key Takeaways
- Addresses the security challenge of agentic AI tools that can plan, act, retry and adapt using the privileges of the user who launched them
- Introduces Agentic Steering for pre-execution policy enforcement and Trust Builder for automated policy creation in Airlock Digital v7.1
- Designed for IT security professionals, CISOs, endpoint security managers and compliance officers
- Focuses on gaining visibility into AI agent activity and preventing unauthorized actions before execution
The Agentic AI Security Challenge
Agentic AI tools represent a distinct security concern because they operate with autonomy, inheriting the privileges of the user who initiated them. Unlike traditional applications, these systems can plan actions, execute tasks, encounter failures, retry and adapt their approach without human intervention at each step. This behaviour creates gaps in conventional endpoint security models that were not designed to monitor or constrain AI-driven decision-making processes.
Organizations face limited visibility into what agentic AI tools are doing on endpoints, making it difficult to enforce security policies or detect potentially unauthorized actions before they occur.
Airlock Digital v7.1 Features
This webinar introduces two capabilities in Airlock Digital v7.1. Agentic Steering provides pre-execution policy enforcement, allowing security teams to prevent unauthorized AI agent actions before they run rather than responding after the fact. Trust Builder addresses the operational burden of application control by automating the creation and management of policies, reducing the complexity that often limits adoption of allowlisting approaches.
Who Should Attend
The session is relevant for IT security professionals, endpoint security managers, CISOs, security architects and compliance officers responsible for application control in their organizations. Those working in industries with stringent security and compliance requirements will find the content particularly applicable, especially teams evaluating how to extend existing endpoint controls to cover emerging AI agent technologies.