How machine learning and new AI technologies could change the cybersecurity landscape

Dovie Salais

The world has never been more online. From work meetings, emails, and texts to shopping, paying bills, and banking—the possibilities are endless. Technological advances save people time and give companies new tools for growth. But that connectedness comes with a cost. The internet has also never been more rife with […]

The world has never been more online. From work meetings, emails, and texts to shopping, paying bills, and banking—the possibilities are endless. Technological advances save people time and give companies new tools for growth.

But that connectedness comes with a cost. The internet has also never been more rife with criminals looking for vulnerabilities to exploit, hoping to hold companies hostage with ransomware, executing crafty phishing and social engineering attacks, hacking into proprietary information, or capturing private data such as Social Security numbers and addresses.

Does artificial intelligence or machine learning make it easier or harder for companies to guard against such attacks? Can other improvements provide additional defenses against cyberattacks?

The pros and cons of some of the advances have recently burst into the news. Geoffrey Hinton, the “Godfather of AI,” recently left Google to warn of the dangers of the very technology he helped develop. He worries that generative artificial intelligence—which can produce text, images, video, and audio—will be used for misinformation and someday even eclipse humans’ creativity. Others say those fears are hypothetical.

Drata compiled a list of five technological innovations changing how firms monitor and protect sensitive data essential to their digital operations.

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