New AI Security Suite helps organizations gain visibility, control, and governance across AI applications
Zscaler, Inc. today announced new AI security innovations designed to help enterprises securely adopt generative and agentic AI at scale. As AI usage accelerates, organizations face growing cyber and data risks due to legacy security models that lack visibility into AI-driven traffic and non-human interactions.
The new Zscaler AI Security Suite provides comprehensive visibility and control across AI applications, models, agents, and infrastructure, enabling enterprises to securely build, deploy, and govern AI without slowing innovation. According to the newly released ThreatLabz 2026 AI Security Report, most enterprise AI systems can be compromised within minutes, highlighting the urgent need for modern AI-aware security.
Zscaler’s innovations address AI security across three core areas: AI asset management to detect shadow AI and assess risk, secure access to sanctioned AI services using Zero Trust controls, and protection of AI infrastructure and applications throughout the development lifecycle.
“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.”
Zscaler also supports alignment with global AI governance frameworks, including the NIST AI Risk Management Framework and the EU AI Act, while expanding partnerships across the AI ecosystem to strengthen enterprise-wide defenses.