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American Focus > Blog > Tech and Science > How Patch Management Closes Attackers’ Fastest Loophole
Tech and Science

How Patch Management Closes Attackers’ Fastest Loophole

Last updated: March 2, 2025 5:22 pm
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How Patch Management Closes Attackers’ Fastest Loophole
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As part of VentureBeat’s special issue, “The cyber resilience playbook: Navigating the new era of threats,” this article delves into the critical importance of patch management in today’s cybersecurity landscape.

One of the biggest threats to network security and business integrity is the procrastination of patching. Failure to keep systems up-to-date with the latest patches has led to numerous network breaches, data losses, and regulatory fines.

Why do security teams often procrastinate on patching? The task is often seen as mundane and time-consuming, taking focus away from more engaging projects. According to a study by Ivanti, 71% of IT and security professionals find patching to be complex and burdensome.

With the rise of remote work and decentralized workspaces, patch management has become even more challenging. Many organizations admit that patching takes a backseat to other tasks, leaving them vulnerable to cyber threats.

Traditional patch management methods are no longer effective in today’s threat landscape. Relying solely on severity ratings and monthly patch cycles leaves organizations exposed to evolving threats that move much faster than the patching process.

The key to effective patch management lies in adopting a risk-based and continuous approach. By prioritizing patches based on active exploitation, threat intelligence, and asset criticality, organizations can stay ahead of cyber adversaries.

Automated patch management systems powered by machine learning and AI are essential for keeping up with the pace of modern threats. These systems can prioritize patches in real-time, ensuring compliance and reducing exposure to vulnerabilities.

Choosing the right patch management solution is crucial for maintaining cyber resilience. Vendors that integrate gen AI and advanced ML algorithms offer the best protection against evolving threats.

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Measuring the success of patch management efforts is vital. Metrics such as mean-time-to-patch, patch coverage percentage, exploit window reduction, and risk reduction impact help organizations track their progress and improve their security posture.

Ultimately, automating patch management is no longer optional – it is a necessity for organizations looking to stay secure in the face of growing cyber threats. Prioritizing patching is essential for building a strong cyber resilience strategy and protecting against potential cyberattacks.

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