Webinar Description
Key Takeaways
- Addresses the governance gap created when AI agents operate as privileged users without traditional identity controls
- Focuses on two critical blind spots: lack of visibility into active AI agents and insufficient accountability for autonomous actions
- Designed for CISOs, IAM teams, GRC professionals and security architects managing enterprise AI deployments
- Covers practical approaches to identifying, auditing and governing AI identities while maintaining innovation capacity
AI Agents as Privileged Users
Enterprise adoption of AI tools, including Microsoft 365 copilots, SaaS assistants and agents connected to sensitive data, has created a new category of privileged user that often bypasses traditional access reviews. These AI entities can access, process and act on enterprise data, yet many organizations apply governance controls only to human identities. This webinar examines why standard identity and access management frameworks fail to account for AI agent behaviour and what security leaders can do about it.
Shadow AI and Visibility Challenges
The session addresses “shadow AI,” the proliferation of unmonitored or unauthorized AI tools operating within enterprise environments. Without visibility into which AI agents are active and what permissions they hold, security teams cannot assess risk exposure or maintain audit readiness. The discussion will cover methods for discovering AI agents across the enterprise and establishing accountability for their autonomous actions.
Speakers and Format
The live virtual webinar features an enterprise CISO alongside Sennovate’s Director of Security Engineering. The session is structured as an executive-level, practical discussion rather than a product demonstration, with emphasis on actionable governance steps that can be implemented in the near term.
Who Should Attend
This webinar is relevant for CISOs, security leaders, IAM and identity teams, GRC professionals, and security architects. It is particularly suited to organizations currently deploying AI agents or planning deployments who need to establish compliance-ready controls without restricting legitimate AI use cases.