AI Podcast: Winning the Cybersecurity Cat and Mouse Game with AI. Brian Caulfield interviews Eli David of Deep Instinct.
From the description:
Cybersecurity is a cat-and-mouse game. And the mouse always has the upper hand. That’s because it’s so easy for new malware to go undetected.
Eli David, an expert in computational intelligence, wants to use AI to change that. He’s CTO of Deep Instinct, a security firm with roots in Israel’s defense industry, that is bringing the GPU-powered deep learning techniques underpinning modern speech and image recognition to the vexing world of cybersecurity.
“It’s exactly like Tom and Jerry, the cat and the mouse, with the difference being that, in this case, Jerry the mouse always has the upper hand,” David said in a conversation on the AI Podcast with host Michael Copeland. He notes that more than 1 million new pieces of malware are created every day.
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Interesting take on detection of closely similar malware using deep learning.
Directed in part at detecting smallish modifications that evade current malware detection techniques.
OK, but who is working on using deep learning to discover flaws in software code?