How AI Helps Strengthen Zero Trust Segmentation, Labeling

Artificial intelligence has transformed zero trust segmentation by doing a better job of controlling the flow of data between development and production environments, according to Illumio CEO Andrew Rubin.

See Also: Live Webinar | Modernize Identity and Security to Adopt a Zero Trust Strategy

The Silicon Valley-based company has found manual labeling to be inefficient and costly, and Rubin said using AI to accelerate the labeling process makes it more efficient and cost-effective. AI’s speed and adaptability allow it to iterate and learn quickly, making attacks more effective by automating and refining tactics, but also equipping defenders with the means to respond swiftly and decisively, he said (see: Illumio CEO on Fighting Ransomware via Endpoint Segmentation).

“AI is a massive accelerant. In the past, if you created a piece of ransomware and you put it out into the wild, you would watch how effective it was and would manually iterate on it to make it more effective,” Rubin said. “AI is going to do that work for you, and it’s going to do it a lot faster. Right now, the biggest concern that we have is helping the attackers to become so much more effective, so much faster.”

In this video interview with Information Security Media Group, Rubin discussed:

• The role of AI in zero trust segmentation and the significance of accurate labeling;
• Illumio’s strategic partnerships with companies such as Microsoft, Netscope and Wiz;
• The impact of generative AI on security threats and defenses.

Rubin, who is responsible for Illumio’s strategy and vision, has deep expertise in segmentation, network security and regulatory and compliance management. He is a member of the board of directors for email security platform company Armorblox. Prior to co-founding Illumio in 2013, he spent nine years at intrusion detection vendor Cymtec, where he was president and head of worldwide field operations.