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American Focus > Blog > Tech and Science > How AI is helping cut the risks of breaches with patch management
Tech and Science

How AI is helping cut the risks of breaches with patch management

Last updated: August 27, 2024 9:13 am
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How AI is helping cut the risks of breaches with patch management
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When it comes to securing endpoints, systems, and sensors within an organization, complacency is not an option.

Many IT and security teams find themselves working tirelessly for months on end to recover from breaches that could have been prevented.

For CISOs and CIOs, a breach under their watch can damage their credibility and career prospects. Boards and CEOs of publicly traded companies also face accountability for breaches that could have been avoided.

Attackers are Advancing

The dark web is teeming with tools and kits that cybercriminals use to identify unpatched systems and endpoints with known vulnerabilities. Exploit kits target specific CVEs associated with commonly used software in enterprises. These kits are regularly updated with new vulnerabilities to target systems lacking current patches.

Research by CYFIRMA reveals exploit kits for popular software like Citrix ADC, Microsoft Streaming Service Proxy, and PaperCut. Despite patches being available post-breach, they are only partially effective, leading attackers to exploit long-known vulnerabilities.

Unpatched Systems Are Vulnerable

In various instances, organizations have fallen victim to cyberattacks due to unpatched systems. From manufacturers having their payment systems compromised to cities like Helsinki experiencing data breaches, the consequences can be severe. The Colonial Pipeline ransomware attack was traced back to an unpatched VPN system without multifactor authentication.

Nation-state attackers conduct stealthy attacks to achieve their espionage goals, such as spying on executive emails and stealing sensitive information over extended periods.

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Aligning IT and Security

Ensuring IT and security teams are aligned is crucial for effective patch management. Disagreements on patching strategies and cycles can hinder the prioritization of patching activities. Most breaches are linked to unpatched vulnerabilities, highlighting the importance of timely patch application.

Remote work and decentralized workspaces further complicate patch management, making it challenging for teams to stay ahead of potential threats.

AI/ML in Patch Management

Patch management vendors are integrating AI and ML capabilities to provide real-time risk assessments and prioritize critical patches. Leading vendors like Ivanti and Tanium offer solutions that help organizations mitigate security risks effectively.

Automox, ConnectWise, Flexera, Kaseya, SecPod, and Tanium are among the top vendors recognized for their innovative patch management solutions.

Cunningham’s Five-Point Plan

Cybersecurity expert Chase Cunningham recommends leveraging AI/ML tools, adopting a risk-based approach, improving visibility and accountability, automating patching processes, and regularly testing patches to enhance patch management practices.

Strengthening Patch Management

A robust patch management strategy is essential for mitigating cybersecurity risks and safeguarding critical assets. CISOs are increasingly focusing on protecting revenue streams and driving revenue gains through effective patch management practices.

It’s imperative for organizations to prioritize patch management to protect against potential cyber threats and ensure the security of their infrastructure.

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