Improve security, governance, and privacy for AI and Agents

Most organizations built their data protection controls for collaboration — not for an AI-first reality.

As generative AI, AI agents, and employee-driven tools spread across the enterprise, those same controls are quietly failing to prevent oversharing, shadow AI, and sensitive data from being fed into AI systems into AI systems.

Recent research is a clear wake-up call:

• Data flowing into generative AI services grew 30× in a single year (Netskope, 2025)


• 98% of employees now use unsanctioned apps — including shadow AI — making this a near-universal governance challenge (Varonis, 2025)


• 77% of organizations still lack the essential data and AI security practices needed to protect their business models and cloud environments (Accenture, 2025)


• Gartner predicts that by 2030, 40%+ of enterprises will experience security or compliance incidents caused by shadow AI


• By 2028, analysts expect ~25% of enterprise breaches to be traced back to AI agent abuse

The problem isn’t a lack of tools; it’s the assumption that yesterday’s controls still work for today’s AI risks. In this video, discover the real-world AI risks organizations face—and how Microsoft security and governance capabilities can help, from controlling data exposure to governing AI use at scale.