Agentic Steering: Enabling Agentic AI Without Giving Up Preventative Control at the Endpoint

As agentic AI becomes increasingly embedded in enterprise operations, CISOs face a new security challenge: controlling not just which AI applications are approved, but what actions those applications are permitted to execute. With AI agents initiating commands across enterprise endpoints, organizations must balance innovation with risk, gaining greater visibility into agent activity, identifying Shadow AI, and ensuring actions align with established security policies. Traditional security controls alonemay not provide the visibility or preventative safeguards needed to manage this evolving threat landscape.

To address these challenges, security leaders must rethink how they govern agent-initiated activity without disrupting productivity or introducing unnecessary complexity. By integrating preventative endpoint controls, application control, and Agentic Steering with existing security investments, organizations can establish clearer boundaries, enforce policies in real time, and provide guidance when agent actions are restricted. The goal is to enable responsible AI adoption while strengthening accountability,minimizing security gaps, and maintaining operational efficiency.

Join Airlock Digital and a select group of your peers for an executive discussion exploring how CISOs can confidently enable agentic AI within their organization's risk appetite. Together, we'll examine strategies for gaining visibility into agent activity, establishing effective endpoint controls, maximizing existing security investments, and demonstrating governance through actionable evidence that supports board oversight, compliance, and audit readiness

Founded in Australia in 2013, Airlock Digital works with enterprises worldwide to reduce exposure to unauthorized software and strengthen control over software execution. Airlock Digital supports organizations seeking a more intentional, sustainable approach to prevention, helping security and IT teams improve control without compromising operational stability.