Zscaler, Inc, the leader in cloud security, has announced new capabilities within its AI Security Suite to help enterprises securely adopt generative and agentic AI at scale. The innovations address critical visibility gaps, control challenges, and rising risks as organizations integrate AI applications, models, agents, and infrastructure. Traditional security models struggle with AI’s unique traffic patterns, non-human behaviors, and rapid protocol shifts, often leaving enterprises exposed. Zscaler’s expanded suite eliminates the tradeoff between AI innovation and security risk, providing comprehensive visibility, Zero Trust controls, and governance to build, deploy, and manage AI confidently.
“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.”
Most enterprises lack full visibility into their AI footprint, including shadow AI usage, data access patterns, and exposure risks. Zscaler’s AI Asset Management provides a comprehensive inventory and dependency map that correlates asset discovery, access relationships, data lineage, runtime behavior, and security posture. This enables organizations to detect shadow AI, understand data interactions, and prioritize risks effectively.
“The industry is currently struggling with a massive visibility gap because AI traffic doesn't behave like traditional web traffic,” said Zeus Kerravala, Principal Analyst, ZK Research. “It’s faster, non-human, and uses protocols that most security stacks simply can't see. What’s important here isn't just another security tool; it’s the shift toward a Zero Trust framework that actually understands the context of an AI conversation. Without this level of deep inspection and automated guardrails, enterprises are essentially flying blind into the most significant technology transition of our lifetime.”
The Zscaler AI Security Suite addresses enterprise needs through targeted capabilities:
CISOs, IT, and governance teams gain full visibility into AI apps, models, infrastructure, agents, and usage to detect shadow AI, track data exposure, and prioritize remediation.
Security architects and IT admins can safely enable sanctioned AI services and models using Zero Trust controls, inline inspection, and prompt classification to prevent data loss and misuse while preserving productivity.
Application teams receive automated AI red teaming, prompt hardening, runtime guardrails, and continuous risk posture assessment throughout the AI development lifecycle.
Zscaler now supports alignment with global standards such as the NIST AI Risk Management Framework and EU AI Act, offering CXO-level reporting on GenAI usage. Deep integrations with leading AI providers (OpenAI, Anthropic) and cloud platforms (AWS, Microsoft, Google) ensure seamless ecosystem compatibility. New defenses include an MCP gateway for secure automation and AI Deception to divert and neutralize model-based attacks.
The full announcement and details on the Zscaler AI Security Suite advancements are available in the blog post “Accelerating AI Initiatives with Zero Trust.”
About Zscaler
Zscaler accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across more than 160 data centers globally, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.
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