Agentic AI
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Zscaler’s Jay Chaudhry on Infrastructure, Agents and Oversight
Artificial intelligence security demands a purpose-built infrastructure that inspects traffic, validates identity and enforces policy at scale, said Jay Chaudhry, founder, chairman and CEO of Zscaler.
See Also: How Unstructured Data Chaos Undermines AI Success
Zscaler operates a distributed exchange across more than 160 locations. This system routes user, workload and agent traffic through inline inspection. It ensures only authorized connections occur. Chaudhry said traditional security differs from AI training infrastructure. It requires real-time validation and precise access control, warning against broad claims that AI will replace SaaS. Mission-critical systems demand proven controls, not unchecked automation, Chaudhry said.
“Fundamentally, AI is non-deterministic. You ask an answer twice, and you get two different answers. So, we need to carefully apply it for the right applications the right way,” he said.
In this video interview with Information Security Media Group at RSAC Conference 2026, Chaudhry also discussed:
- Why zero trust applies to users, workloads and AI agents;
- How containerization still requires controlled data exchange;
- The growing demand for AI security skills and oversight.
Chaudhry has more than 25 years of IT industry expertise spanning security, engineering, sales, marketing and management at leading organizations, including IBM, NCR and Unisys. He has founded several successful companies, including AirDefense, CipherTrust, CoreHarbor and SecureIT.

