Adversary Or Ally: When Generative AI And Cybersecurity Collide

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Dr. Amit Sinha is CEO of DigiCert. Prior to DigiCert, he was President of Zscaler. Read Amit Sinha's full executive profile here.

There’s an old truism in security that no defense can ever be 100% impenetrable. Rather, the goal is to make it more expensive to breach a target than that effort is worth. From this perspective, then, it’s easy to see why generative artificial intelligence is already having a profound impact on cybersecurity.

A few minutes on social media will demonstrate how good AI content generators have gotten at creating hyper-realistic forgeries of text, images, audio and video. This means it’s becoming easier for bad actors to spread misinformation, counterfeit identities, propagate scams and erode public trust. On the technology side, generative AI can improve threat detection capabilities by providing more granular, comprehensive baselines of system behavior to identify suspicious activity more quickly. AI can also continually incorporate new information—like the behavior of threats observed elsewhere—and adapt an organization’s cyber defenses and security policy in response much more quickly than human operators.

 

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