Unsurprisingly, for decades, security professionals have viewed cybersecurity from the perspective of, well, cybersecurity. And without question, prioritizing security resource deployment from the perspective of the security team is where it should start. At KeyCaliber, however, we just believe it shouldn’t end there.

KeyCaliber’s platform leverages our machine learning technology to identify assets most critical to the operation of the business, and combines that analysis with traditional methods of predicting the likelihood that an asset will be compromised (vulnerabilities, exploitability, location in the environment, security tools installed, etc.).

We then create a list of priorities that combines both the likelihood of a compromise of a given asset (traditional security prioritization techniques listed above) with the consequence of that asset’s compromise (how critical it, or connected assets, are to the operation of the business).