Agentic AI
,
AI-Based Attacks
,
AI-Driven Security Operations

AI adoption is accelerating across the enterprise, often faster than organizations can govern it.
As employees increasingly turn to AI-powered tools to improve productivity, many organizations are discovering a growing blind spot: Shadow AI. Without clear visibility into how AI tools are being used, what data is being shared, and who is accountable for oversight, organizations may face increased exposure to data leakage, compliance challenges, and third-party risk.
Join this webinar to explore what data from more than 16,000 organizations reveals about unmanaged AI adoption and the governance gaps putting enterprises at risk. We’ll discuss practical strategies for improving visibility, strengthening accountability, and developing AI governance frameworks that keep pace with employee adoption.
Attendees will learn:
- What data from 16,000+ organizations reveals about the scale of Shadow AI;
- The visibility, policy, and accountability gaps that increase AI related risk;
- Why traditional controls alone are no longer enough to govern employee AI usage;
- Practical approaches for building AI governance policies that support innovation while reducing risk;
- How to balance AI adoption with security, compliance, and organizational oversight.
