Zscaler launched its AI Security Suite. This new suite helps companies adopt generative and agentic AI safely. It ensures visibility, control, and governance at scale. As AI use grows, organizations face more cyber and data loss risks. Traditional security models can’t handle AI traffic, non-human behaviors, and new protocols. Zscaler addresses this gap by providing a comprehensive inventory and dependency mapping of enterprise AI environments, spanning GenAI tools, embedded AI in SaaS, development platforms, models, agents, and infrastructure. The solution correlates asset discovery, access relationships, data lineage, runtime behavior, and security posture to reduce blind spots highlighted in Zscaler’s ThreatLabz 2026 AI Security Report, which found critical flaws in all systems analyzed.
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“AI is changing how businesses operate, but traditional security approaches were not designed to secure AI,” said Jay Chaudhry, CEO, Chairman, and Founder of Zscaler. “Business leaders are looking for a comprehensive solution – not more point products. At Zscaler, we’re providing the security necessary for leaders to move forward with confidence and embrace the full spectrum of AI. We aren’t just securing the AI era; we’re accelerating it.” The AI Security Suite focuses on AI asset management, secure access to AI services using Zero Trust controls, and protection of AI infrastructure and applications across the lifecycle, while supporting compliance with frameworks like NIST AI RMF and the EU AI Act and integrating with leading AI and cloud providers.