Three Ways AI-Powered Patch Management is Influencing Cybersecurity’s Future

 

Approaches to patch management that aren’t data-driven are breaches just waiting to happen. Security teams delay prioritising patch management until a breach occurs, which allows attackers to weaponize CVEs that are several years old.

More contextual knowledge about which CVEs are most vulnerable is now a part of the evolving cyber attacker tradecraft. As a result, unsecured attack surfaces with exploitable memory conflicts are left behind when patch management is done manually or endpoints are overloaded with agents. 

Attackers continue to hone their skills while weaponizing vulnerabilities with cutting-edge methods and tools that can elude detection and undermine manual patch management systems.

Up to 71% of all detections indexed by the CrowdStrike Threat Graph, according to CrowdStrike’s 2023 Global Threat Report, are caused by intrusive activities without the use of malware. Security flaws that had not yet been patched were at blame for 47% of breaches. Remediating security vulnerabilities manually is done by 56% of organisations. 

Three Ways AI-Powered Patch Management is Influencing Cybersecurity’s Future

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