Security challenges rise as AI adoption outpaces defenses

Source Domain: siliconangle.com

Since OpenAI’s ChatGPT burst onto the scene near the end of 2022, the past three years have been a time of all gas and no brakes. As the enterprise world begins to deal with the security challenges of unchecked AI adoption, it may finally be time to slow down the speeding car.

Signs of trouble on the road ahead are beginning to appear. Tests conducted by an AI security lab in cooperation with OpenAI and Anthropic found that AI agents tasked with creating simple LinkedIn posts from a company’s database dodged guardrails to post sensitive information in public.

The viral popularity of open-source AI agents such as OpenClaw, which drew 2 million users in a single week, has prompted security warnings, including one from China’s cybersecurity agency, about the tool’s inherent flaws. A report from IBM Corp. found that 60% of AI security-related incidents led to compromised data, 31% led to operational disruption, and 97% of compromised organizations had zero AI access controls in place.

“The challenges around data governance and compliance remain significant,” said Christophe Bertrand, principal analyst for cyber resiliency, data protection and data management at theCUBE Research. “Scaling AI requires trust, and trust starts with trusted infrastructure, trusted and protected data, cyber resilient data that can be recovered, and compliant and governed data so organizations don’t use data that creates business risk.”

This feature is part of SiliconANGLE Media’s ongoing exploration of the latest trends in cybersecurity. Be sure to check out SiliconANGLE’s extensive coverage of RSAC 2026, including interviews with RSAC, EY, StackHawk, NetApp, Dell, Capital One, Ping Identity, Cato Networks, XBOW and Elastic. (* Disclosure below.)

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