Zscaler announces new AI security suite designed to protect generative and agent AI deployments. Cloud platforms provide visibility into AI applications, models, and infrastructure.
Zscaler sees enterprises struggling to ensure the security of their AI apps. Most organizations lack a comprehensive overview of the AI tools used internally. Think about generative AI applications, development environments, embedded AI in SaaS, and the underlying infrastructure. This lack of insight severely limits understanding of risk and data access.
This is dangerous. Recent numbers from Zscaler show that most enterprise AI systems can be compromised in as little as 16 minutes. Critical vulnerabilities were found in 100% of the systems analyzed. Therefore, integrated security solutions are urgently needed.
Three pillars of AI security
The new Zscaler AI Security Suite addresses these challenges with three core capabilities. AI Asset Management provides CISOs and IT teams with a comprehensive overview of all AI apps, models, infrastructure, agents, and usage. This allows you to detect shadow AI, understand the data that AI systems touch, and prioritize risks based on actual usage.
Secure access to AI helps security architects and IT administrators securely enable approved AI services. Consider development tools and AI models with zero trust controls, inline inspection, and instant classification. This reduces data loss and misuse without compromising productivity.
Finally, secure AI infrastructure and apps allow application teams to protect AI development throughout its lifecycle. From automated AI red teaming and rapid hardening to runtime guardrails and continuous risk assessment during development and operations. Jay Chaudhry, CEO of Zscaler, previously emphasized that traditional security approaches are not designed for AI security.
The visibility gap in AI traffic
“AI is changing the way businesses operate, but traditional security approaches were not designed to protect it,” said Jay Chaudhry, CEO, Chairman, and Founder of Zscaler. “Business leaders are looking for comprehensive solutions, not more point products. At Zscaler, we provide the security leaders need to move forward with confidence and embrace the full scope of AI.”
The suite correlates asset discovery, access relationships, data lineage, runtime behavior, and security posture. This enables organizations to adopt AI faster while maintaining high levels of security, governance, and control. The platform provides a comprehensive inventory and dependency map of your AI footprint, including generative AI services, embedded AI in SaaS, development environments, MCP servers, agents, models, and AI infrastructure.
Zscaler emphasizes that AI traffic behaves differently than traditional web traffic. It is faster, less artificial, and uses a protocol that is invisible to most security stacks. Without thorough scrutiny and automated guardrails, Zscaler says companies are blindly rushing into the most important technology transition of their lives.
Governance and partnerships
To simplify global AI adoption, Zscaler is now helping customers align their security programs with frameworks such as the NIST AI Risk Management Framework and EU AI Law. This governance is tied to CXO-level reporting on generative AI usage and deep ecosystem integrations with OpenAI, Anthropic, AWS, Microsoft, and Google.
Additionally, Zscaler is expanding its defense capabilities with a new MCP Gateway for secure automation. AI deception is designed to distract and neutralize model-based attacks. We focus on eliminating the choice between AI innovation and risk by giving organizations the visibility and control they need to securely build, deploy, and manage AI at enterprise scale.
