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Automating Vulnerability Remediation without the Fear of Disruption

Leverage our platform’s one-of-a-kind patching history data to empower your remediation team to patch faster … and more confidently.

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Patching is broken,
fundamentally

The overwhelming majority of patches can be applied automatically with little to no risk of disruption, yet legitimate apprehension among remediation teams to auto-patch most software systems persists.

The challenge is knowing which patches are safe to apply routinely with automation and which require human involvement.

That’s where trackd comes in

Our patent-pending platform provides data and insight into the experience of others that have implemented the same patch, helping to identify which are likely to cause disruption, then providing a frictionless toolset to automate vulnerability remediation when it’s safe, and give you a heads up when patches are likely to be disruptive … ultimately reducing MTTR (mean time to remediate), making the remediation team’s life easier… and allowing the security team to sleep more soundly.

Patching is broken, fundamentally

The overwhelming majority of patches can be applied automatically with little to no risk of disruption, yet legitimate apprehension among remediation teams to auto-patch most software systems persists.
The challenge is knowing which patches are safe to apply routinely with automation and which require human involvement.

That’s where trackd comes in

Our patent-pending platform provides data and insight into the experience of others that have implemented the same patch, helping to identify which are likely to cause disruption, then providing a frictionless toolset to automate vulnerability remediation when it’s safe, and give you a heads up when patches are likely to be disruptive … ultimately reducing MTTR (mean time to remediate), making the remediation team’s life easier…and allowing the security team to sleep more soundly.

Learn how we’re taking the guesswork out of vulnerability remediation

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trackd vs. ChatGPT

So even with the knowledge that 98 out of 100 patches are safe to deploy, remediation teams are unlikely to modify their processes to patch more aggressively any more than the average person would change their decision to play Russian Roulette with a gun with 100 chambers and only 2 live bullets.

trackd vs. ChatGPT

So even with the knowledge that 98 out of 100 patches are safe to deploy, remediation teams are unlikely to modify their processes to patch more aggressively any more than the average person would change their decision to play Russian Roulette with a gun with 100 chambers and only 2 live bullets.

trackd vs. ChatGPT

So even with the knowledge that 98 out of 100 patches are safe to deploy, remediation teams are unlikely to modify their processes to patch more aggressively any more than the average person would change their decision to play Russian Roulette with a gun with 100 chambers and only 2 live bullets.

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Ask us Anything