Zscaler Boosts AI Security with Enhanced Visibility and Control
▼ Summary
– Zscaler has launched a new AI Security Suite to help enterprises securely adopt and govern AI, addressing risks that traditional security models cannot handle.
– Enterprises currently lack visibility into their full AI footprint, including tools and infrastructure, which limits their ability to assess exposure and risk.
– Traditional security tools struggle to govern AI due to its non-human traffic patterns, with a report finding critical flaws in all analyzed enterprise AI systems.
– The suite provides comprehensive AI asset management, secure access controls, and infrastructure protection to enable safe AI adoption and innovation.
– The solution helps align with regulatory frameworks like the NIST AI RMF and integrates with major AI platforms to simplify global governance and deployment.
Businesses are rapidly integrating artificial intelligence, but this innovation introduces significant new security vulnerabilities. Traditional cybersecurity models, built for conventional web traffic, often fail to protect AI systems. These systems generate unique, non-human traffic patterns and use specialized protocols that can easily bypass standard security tools. Zscaler has introduced a new AI Security Suite designed to close this critical visibility gap. The platform provides the comprehensive oversight and control enterprises need to adopt AI technologies safely, without sacrificing speed or innovation.
A fundamental challenge for organizations is the lack of a complete inventory of their AI assets. Most companies cannot fully track the generative AI tools, development environments, embedded AI in software-as-a-service applications, or the underlying models and infrastructure in use. This “shadow AI” creates blind spots, making it impossible to understand data exposure or accurately assess risk. Compounding the problem, AI traffic operates differently, rendering traditional security policies ineffective. Research from Zscaler’s ThreatLabz highlights the urgency, finding critical flaws in every enterprise AI system analyzed, with most systems vulnerable to compromise in a matter of minutes.
Zscaler’s solution addresses these issues by delivering a full dependency map of an organization’s entire AI footprint. It correlates asset discovery with access relationships, data lineage, and runtime behavior. This unified view allows security and IT teams to see everything from generative AI services and AI development platforms to model context protocol servers and AI agents. With this clarity, organizations can move forward with AI initiatives while maintaining stringent governance and security postures.
The CEO of Zscaler emphasized that business leaders are seeking integrated solutions, not more disconnected point products. The company’s goal is to provide the foundational security necessary for confident AI adoption, aiming not just to secure the AI era but to actively accelerate its responsible implementation.
The AI Security Suite tackles enterprise challenges through three core pillars. First, AI Asset Management gives teams a comprehensive inventory to detect unauthorized AI use, understand what data AI systems access, and prioritize risks based on actual usage. Second, Secure Access to AI enables IT administrators to safely provide access to approved AI services. It employs Zero Trust principles, inline inspection, and prompt classification to prevent data loss and misuse without hindering productivity. Third, Secure AI Infrastructure and Apps equips development teams with tools to protect AI throughout its lifecycle. This includes automated testing, prompt hardening, runtime guardrails, and continuous risk assessment from the initial build phase through to deployment.
Industry analysts note that the key differentiator is a Zero Trust framework built specifically for AI’s unique context. The ability to perform deep inspection of AI conversations and establish automated guardrails is essential; without it, enterprises are navigating a major technological shift without a reliable compass.
To support global compliance, Zscaler helps customers align their programs with established frameworks like the NIST AI Risk Management Framework and the EU AI Act. This governance capability is complemented by executive-level reporting on generative AI usage and deep integrations with major AI providers and cloud platforms. Furthermore, Zscaler is enhancing its defensive measures with a new gateway for secure automation and AI Deception technology, designed to identify and neutralize sophisticated attacks targeting AI models.
(Source: HelpNet Security)
