Based on the current AI meta, it's clear that learning models excel at tasks of analyzing prompted patterns to generate (and execute on) a predictive response. Where threat intelligence helps us plot a course based on data that is known, AI tools can take the baton and propose actions when the data isn't known. This can play out two ways (and probably many more): researching and proposing actions based on industry threat behaviors, or analyzing and performing actions based on triaging, scoring, prioritization, etc. programming—an intelligent ability we've built into the ArmorCode platform.
Hear more about AI's security applications at AppSecCon 2023