According to a recent press release, “Tenable®, Inc., the Cyber Exposure company, today unveiled new innovations to its Cyber Exposure analytics capabilities in Tenable Lumin™. These innovations leverage machine learning to automatically correlate vulnerability and threat data together with asset criticality in a single platform. For the first time, organizations can accurately score, trend and benchmark their cyber exposure based on the likelihood the exposure will be exploited and the business criticality of the impacted assets. This will enable organizations to evolve from a technology – to a risk-based approach to prioritize remediation, communicate to the business and make data-driven decisions to reduce cyber risk.”

The release goes on, “Tenable has unveiled the following innovations for Cyber Exposure analytics via Tenable Lumin: (1) Cyber Exposure Score: The Cyber Exposure score is an objective measure of cyber risk, derived through data science-based measurement of vulnerability data together with threat intelligence and asset criticality. The score is automatically generated through machine learning algorithms which combine the Tenable Vulnerability Priority Rating (VPR), for the likelihood of exploitability, with the Tenable Asset Criticality Rating (ACR), for the business criticality of the impacted asset… (2) Cyber Exposure Benchmarking: Organizations can use the Cyber Exposure score to benchmark themselves against industry peers and measure their overall cyber risk posture. Tenable has the industry’s most extensive vulnerability intelligence, processing over 1.5 billion instances of vulnerabilities per week, which is coupled with data science to create its benchmarking knowledge base. Organizations can also drill down to benchmark internal groups against each other by business unit or geography, for example.”

Read more at Nasdaq.

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