Transform Vulnerability Management with Process Intelligence

If you’ve heard of the security data fabric approach, you will probably be curious to learn that it’s taken on a new twist, known as the security process fabric.

How a process fabric is different from a data fabric

Sure, it also involves the data fabric methodology of collecting data from different tools and pooling it together by deduplicating, normalizing, and compiling the data into a single platform.

The point of the process fabric is to add the perspective of the process map.

This gives security leaders direct knowledge not only of the state of the vulnerabilities and exposures affecting their cloud resources, but also of how their organization manages the issues and handles their remediation.

A security process fabric is a combination of the intelligence of a security data fabric, enhanced with an additional layer of process intelligence. The data fabric is intended to help you analyze complex data from multiple different sources, even when those data sources overlap and sometimes have specific siloed views of only parts of your environment.

The process intelligence is enabled by applying process mining, not just to the tools used to detect vulnerabilities, but to all of the tools and teams used in your vulnerability management process.

By combining the data fabric with deep process transparency and understanding, Gutsy provides a unique capability to help organizations not only prioritize the risk within their environment, but also to accelerate the remediation of those risks and to drive accountability across all the teams responsible for that vulnerability management program.

Process fabric is the best path to vulnerability prioritization and remediation acceleration

Security leaders struggle to figure out their vulnerability management security posture since they need to deal with various vulnerability assessment tools used by their different application teams and handle the overlap between them. In order to be able to prioritize vulnerabilities, they would need to see a normalized and deduplicated view across all those tools.

Gutsy comes in as the source of truth ingesting data from those different vulnerability assessment tools to a single normalized and deduplicate model.

Based on this normalized view, security teams can then prioritize the most important vulnerabilities within their environment, measure important KPIs such as their mean time to detect and mean time to remediate, and in general slice and dice the data to analyze and drill down on the information.

But that’s not all.

Gutsy enhances the security data fabric by adding an additional layer of process awareness. It looks at all the different tools in your ecosystem that define the remediation workflow detailing all the different steps in the process.

A process fabric combines information from ticket management systems, code repositories and cloud providers to allow you to understand what are the bottlenecks in your process, how consistent is your process, and what is your actual remediation performance compared to your committed SLA.

Gutsy's unique security process fabric enables you not only to see, categorize, and prioritize risk, but even more importantly, to understand what you are doing to remediate those risks, and how consistently the teams and tools involved downstream of detection are following your desired process for remediation.

Learn more:

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[Article] Drive Vulnerability Management Success with MTTR and MTTD Tracking

[eBook] Beyond Detection: Mastering Vulnerability Management with Process Mining