Zscaler steps up AI security push as enterprises race toward agentic AI

As enterprises accelerate the adoption of generative and agentic AI, Zscaler has unveiled a new set of AI security innovations aimed at closing what it sees as a widening gap between AI innovation and enterprise security readiness.

The company says traditional security models — built for human-driven web traffic and static application patterns — are increasingly ineffective in an AI-driven environment. AI workloads introduce new protocols, non-human interaction patterns, and autonomous behaviour that legacy tools struggle to inspect or govern. The result, according to Zscaler, is growing exposure to data loss and cyberattacks at precisely the moment organisations are scaling AI across critical business functions.

That risk is already materialising. Findings from the ThreatLabz 2026 AI Security Report, released alongside the announcement, indicate that enterprise AI systems can be compromised in as little as 16 minutes, with critical flaws identified in every system analysed. The report highlights how limited ...