Patching Faster in the Age of AI

AI is rewriting the rules of patch management.

Vulnerability exploitation is now the leading cause of breaches, the first time that's happened in 19 years, according to the 2026 Verizon Data Breach Investigations Report. AI is only speeding things up. The window between disclosure and active exploitation has shrunk to under three days, while most enterprises still take weeks or months to patch.

Tom Cipolla, Global Field CTO at NinjaOne, and Mark Bermingham, Senior Product Marketing Manager breaks down what it takes to close that gap without sacrificing operational stability.

You'll learn how to:

Shift from periodic, scan-based vulnerability discovery to real-time identification and patch-led remediation
Prioritize fixes using a dynamic risk score that weighs asset context, exploitability, and remediation windows, not CVSS severity alone
Build sentiment and regression analysis into patch decisions so you're not rolling out updates that cause more disruption than they prevent
Cut patching cycle times from months to days with Autonomous Endpoint Management

This session is ideal for IT operations and security leaders looking to modernize vulnerability management without adding friction between their teams.

Tom Cipolla
Global Field CTO

Mark Bermingham
Senior Product Marketing Manager

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