NinjaOne

Advanced AI models have shown that the rules of vulnerability hunting have fundamentally changed. The number of newly disclosed vulnerabilities is rising faster than ever because AI accelerates both discovery and disclosure. For defenders, this changes the game. The window of time between disclosure and active exploitation is shrinking, and vulnerability exploitation has become the dominant initial access vector in the threat landscape. The obvious solution—patching everything as quickly as possible—carries its own risks. Even routine cumulative updates from major vendors have delivered critical fixes alongside disruptive side effects, flooding help desks and bringing business operations to a standstill. Patch too slowly, and the attackers win. Patch too quickly, and the outage is self-inflicted. This session demonstrates how AI redefines both sides of this equation: how attackers are narrowing the window before exploitation, and how AI in vulnerability assessment and patch intelligence keeps humans in the loop for critical decision-making. A live technical demo will guide you through risk-aware remediation in practice and bridge the gap between detection and remediation without jeopardizing production operations.