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November 19, 20253 min read

How AI and Autonomous Patching Are Closing the Exposure Gap

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Cyber threats are evolving at a pace that few organizations can match. According to CrowdStrike’s 2025 Global Threat Report, the average breakout time for eCrime intrusions dropped to just 48 minutes in 2024, with the fastest attack taking only 51 seconds to move laterally in the organization. As attackers move faster, many enterprises are still struggling to keep up. Not because they can’t detect vulnerabilities, but because they can’t patch them quickly enough.  

The Adaptiva and CrowdStrike hosted webinar “How AI and Autonomous Patching Eliminate Exposure Risks,” features these experts:  

Hari Holla – Sr. Product Manager, Falcon Exposure Management, CrowdStrike 

Anne Baker – Chief Marketing Officer, Adaptiva  

Chaz Spahn – Director, Product Management, Adaptiva  

Chaitra Vedullapalli – Founder & President, Women in Cloud  

 

They discuss why this widening patching gap has created new urgency for IT and security teams to rethink their vulnerability management strategies. Manual and semi-automated approaches simply can’t move at the speed of modern threats. 

Here’s what else to know:  

Vulnerability Volume Is Surging, But Patching Can’t Keep Pace 

The number of known vulnerabilities continues to rise. In 2024 alone, over 40,000 CVEs were published, a 38% increase from the previous year. Yet, Adaptiva’s State of Patch Management 2025 Report reinforces that IT teams are not able to keep up using manual patching strategies:  

  • 77% of organizations need a week or longer to deploy patches.  
  • 51% of IT and security professionals say patching is now a bigger issue than detection.  
  • 98% report that manual patching disrupts other business-critical responsibilities.  

The takeaway? Organizations don’t have a vulnerability problem, they have an adversary problem. Attackers exploit slow remediation cycles to strike before teams can respond.  

Why Legacy Approaches Leave Organizations Exposed 

Traditional patching methods were not built for the scale or speed of today’s digital environments. Teams spend time scanning, validating, and deploying patches manually. This often occurs across thousands of endpoints and multiple OS platforms.  

This results in several key limitations:  

  • Slow, fragmented tools produce stale visibility and delayed remediation
  • Limited context means teams can’t prioritize vulnerabilities based on real-world exploitability
  • Manual processes and approval workflows stretch remediation timelines from hours to weeks

To close the exposure gap, enterprises need integrated systems that bring together exposure management and automated remediation.  

AI and Autonomous Systems Are Redefining Patch Management 

CrowdStrike’s Falcon Exposure Management and Adaptiva’s OneSite Patch are designed to work together to help organizations move faster than adversaries.  

Falcon Exposure Management provides real-time visibility across endpoints, identities, and cloud assets, identifying not just which vulnerabilities exist but which are actively being exploited. With the help of AI-driven prioritization, teams focus on the exposures that matter most.  

Once the risks are identified, OneSite Patch automates the rest. The Adaptiva platform delivers autonomous patching across Windows, macOS, and Linux at scale, instantly distributing updates without disrupting network performance or requiring additional infrastructure.  

The result is an end-to-end loop that discovers vulnerabilities, prioritizes risk, and remediates automatically.  

The Future of IT Operations: Autonomous Endpoint Management 

According to Gartner’s “Innovation Insight: Autonomous Endpoint Management (AEM)” report by Tom Cipolla and Dan Wilson, “AEM represents the most significant advancement in endpoint management in over a decade.”  

Adaptiva is pioneering this shift. With OneSite Patch, enterprises can:  

  • Automatically identify and deploy critical patches across thousands of devices
  • Eliminate approval bottlenecks with intelligent workflows
  • Integrate real-time exposure data from CrowdStrike for informed decision-making  
  • Maintain full control with the ability to pause, block, or roll back updates at any time 

AI-driven patching turns what was once a reactive, manual process into a proactive, self-healing system.  

Moving from Reactive to Resilient 

The speed of modern adversaries demands a new approach to security. By uniting exposure management with autonomous patching, organizations can finally close the gap between detection and remediation.  

Because when attackers move in seconds, remediation can’t take days.  

Learn more about how AI and automation are redefining patch management in our latest virtual session featuring leaders from CrowdStrike, Adaptiva, and Women in Cloud.

Watch now 

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