Thursday, May 21 at 1 pm ET | 11 am MT | 10 am PT
AI is already acting inside the enterprise – writing to email, modifying code, even creating accounts – often before any human reviews the action. When something goes wrong, 91% of organizations find out after the fact. Most security stacks were built for human users, predictable data, and pattern-based controls. That model is breaking down fast.
The 2026 AI Risk and Readiness Report puts numbers to the gap: 73% deploy AI in production but only 7% enforce policy in real time. 90% increased budgets this year yet 29% feel less confident. The investment is there – the architecture isn’t.
Join Netskope and Cybersecurity Insiders to examine where AI security is failing, see where you stand on an AI security maturity model, and map the path to real-time, inline enforcement. Attendees will gain insight into:
– The 66-point gap between AI deployment and real-time governance, and what moves enforcement from written policies to inline controls
– Where visibility breaks down: 94% lack full coverage, 88% cannot distinguish personal from corporate AI accounts, and every control that depends on that distinction breaks
– Why AI-rephrased content slips past legacy DLP: 92% have no semantic-aware detection, and security has to understand what content means, not just what it looks like
– How to close the agent gap: 91% cannot intervene before an agent acts, MCP and machine-to-machine traffic go unmonitored, and zero trust doesn’t cover non-human identities
For security leaders who need a prioritized path from fragmented AI security to enforcement that works in real time – and a framework to measure progress.
