Wayne Rash is a science and technology writer based in Washington, DC. He's a columnist for eWEEK and writes for PC Magazine. He's a former Executive Editor of eWEEK, a former Editor of InternetWeek and CommunicationsWeek. He's the author of five books on technology.
As organizations continue to build out their security infrastructure, it becomes difficult to know whether they’re getting good value, and more important, whether they’re leaving holes in their security approach., promises to answer these questions by applying data science, AI and a technique called process mining to cybersecurity effectiveness measurement and governance.
“The concept of process mining is actually pretty simple,” explains Ben Bernstein, co-founder and CEO of Gutsy. “If you can collect all the relevant events from all the systems involved in a process you can normalize and correlate this data and represent it as a series of steps that deliver an outcome. Of course, doing this accurately and at scale requires advanced software, including AI capabilities, as well as deep domain knowledge of the business needs the processes serve.
This helps CISOs measure performance by clearly showing the efficiency and consistency of their existing security processes and tools, and identify delays and inefficiencies within each process. In addition, Gutsy delivers analysis of comparative capabilities of processes and tools over time as well as comparison to industry standards and best practices.
Security governance is a crucial part of an organization’s compliance and risk management function. Decision-makers and security leaders need the tools necessary to conduct oversight, performance management and reporting on all organizational security systems and processes. This is where Gutsy helps the enterprise, says Yoav Leitersdorf, managing partner of YL Ventures.
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