AI Governance at the Identity Layer: Preventing AI from Becoming Your Biggest Security Blind Spot скачать в хорошем качестве

AI Governance at the Identity Layer: Preventing AI from Becoming Your Biggest Security Blind Spot

AI is no longer just a tool, it is an active participant inside your business. By 2025, 62% of mid-sized businesses were already putting AI agents into production, and nearly a quarter of mid-market firms had begun rolling them out to support workflows, customer engagement, and growth. These agents don’t just run in isolation, they access your systems, query your data, and interact with critical workflows. On top of that, employees are often entering sensitive or confidential information into AI agents as part of their daily work. This creates a significant security risk if those inputs aren’t properly controlled or safeguarded. The question is, are you governing AI the way you would a human user - both in terms of how employees are allowed to use it and what agents are permitted to access once they’re operating inside your business? Left unchecked, AI can introduce risks ranging from improper search queries and hidden “back door” access to misclassified data and uncontrolled lateral movement. The identity layer is the only effective way to establish trust, enforce policy, and protect your business. This session will explore how organisations can get ahead of AI adoption by applying proven identity and data governance principles to the way AI is integrated and used.