Jan. 30 at 12:18 AM
$ZS In their 2026 AI Threat Report, Zscaler highlighted that enterprise AI adoption is surging (with a 91% year-over-year increase in AI and machine-learning transactions across thousands of applications), but this creates a "growing oversight gap" where systems are highly susceptible to breaches. Their red-team testing across 25 corporate environments revealed critical vulnerabilities in 100% of AI systems analyzed, with a median time to first major failure of just 16 minutes—and 90% failing within 90 minutes. In extreme cases, defenses were bypassed in as little as one second. Zscaler emphasized that AI isn't just a productivity tool but a "primary vector for autonomous, machine-speed attacks" by cybercriminals and nation-states, including risks like prompt injection, data poisoning, and exploitation of open-source AI models. They noted that traditional security models weren't designed for AI's randomness (e.g., short-lived agents or non-human traffic), leading to data loss....
