IT professionals endure a lot more criticism for causing downtime when patching than they do for patching too slowly, so their default state is to be exceptionally cautious while absorbing the cyber risk of exposed vulnerabilities.
You don’t need to be a Large Language AI model or cyber spy to conclude that diligent and regular vulnerability remediation is a foundational element of enterprise cyber defense. If you were to embark on a comprehensive security system design for your home, for example, you might consider alarms, video cameras, and even a guard dog, but you’d probably start by fixing the broken locks on your first floor windows. And that’s exactly the same thought process enterprises should adopt when defending themselves against an ever-expanding and sophisticated pool of attackers.
The primary new technology for server patching uses crowdsourced data on patches that have been applied to help guide remediation teams and highlight patches that have a history of disruption, and perhaps more valuably, those that have a history of safe deployment.
As an IT or cybersecurity pro, much like a closer in baseball, you’re only the star of the movie when you fail, and when you succeed, it’s expected, and let’s face it, unappreciated. Day-in and day-out, that ain’t easy.
Trackd’s software is like an Angie’s list or Google reviews for security software. It tracks past performance of security software updates by users, helping operators identify which patches might be disruptive when applied in their environment, and which are safe to designate for auto-patching.