Webinar Description
Key Takeaways
- Varonis introduces Atlas, a unified platform combining AI visibility, governance, identity management, and threat detection.
- The webinar addresses fragmentation in AI security tooling and the resulting blind spots for enterprise security teams.
- Topics include shadow AI elimination, AI prompt and agent protection, and secure AI adoption strategies.
- Designed for CISOs, security architects, IT leaders, and AI governance teams in mid-to-large enterprises.
About the Event
Varonis hosts this live virtual webinar on November 9, 2026, to unveil Atlas, described as an end-to-end AI security platform. The session combines expert presentations with a product feature reveal. Attendees receive an AI Readiness Kit containing guidance on secure AI adoption and governance planning.
The Fragmentation Problem in AI Security
Organizations deploying AI technologies often rely on separate tools for discovery, governance, agent security, data protection, and threat detection. This fragmented approach creates complexity and visibility gaps, making it difficult to maintain consistent security policies across AI systems. Shadow AI (unauthorized AI usage within organizations) compounds these challenges by operating outside established security controls.
Key Topics
The webinar covers unified AI security architecture, bringing together visibility, governance, identity, and threat detection in a single platform. Specific areas include protecting AI prompts, agents, models, and actions, as well as practical approaches to assessing AI maturity and closing governance gaps. The session also addresses how organizations can maintain security controls without impeding AI innovation initiatives.
Who Should Attend
This webinar targets cybersecurity professionals, CISOs, security architects, and IT leaders responsible for AI governance and data protection. It is particularly relevant for senior managers, directors, and executives in security, IT, and compliance departments at mid-to-large enterprises currently deploying or evaluating AI technologies.