<p>At its annual customer event, Zenith Live, Zscaler showcased a number of innovations spanning its already broad portfolio. The breadth of announcements supports Zscaler’s goal of expanding its conversations from the network and digital transformation focus that has driven its business over the last 15 years to a more security operations-oriented discussion. Core to this transition will be how the vendor can use its zero-trust platform to support customers on their journey to <a href=”https://www.techtarget.com/searchsecurity/tip/What-agentic-AI-means-for-cybersecurity”>securely operationalize generative and agentic AI</a>.</p>
<p>Almost the entire day-one keynote was dedicated to platform enhancements around AI security. Driven by a mix of organic development and acquisitions, Zscaler showed that, while it might have been quieter than some rivals regarding AI security over the last few months, it was not for lack of action. Day two showed that while AI is top of mind — as it should be — there are clear opportunities to bolster its traditional security platform, as well across SASE, data security, cloud and more.</p>
<section class=”section main-article-chapter” data-menu-title=”Announcements at Zenith Live”>
<h2 class=”section-title”><i class=”icon” data-icon=”1″></i>Announcements at Zenith Live</h2>
<p>Some of the most compelling announcements from the event included:</p>
<ul class=”default-list”>
<li><b>AI Access Graph.</b> While control is ultimately important in any area of cybersecurity, <a href=”https://www.techtarget.com/searchenterprisedesktop/feature/The-next-enterprise-AI-problem-is-visibility”>visibility</a> is always the first step. Zscaler introduced AI Access Graph, powered by technology from its Symmetry Systems acquisition. AI Access Graph builds on Zscaler’s AI Asset Management capabilities and maps how identities, applications, agents and data connect to AI services across an enterprise, helping security teams accurately assess risk. This visibility will become the intelligence behind enforcement policies.</li>
<li><b>AI Broker.</b> Speaking of enforcement, AI Broker was unveiled to secure agentic traffic through both MCP and A2A brokers. An integrated Agent Registry enables security teams to apply fine-grained controls, limiting what AI entities can access across the enterprise.</li>
<li><b>Endpoint AI Security.</b> While Zscaler has traditionally focused on the network, it also recognizes the need for endpoint visibility. Endpoint AI Security <a href=”https://www.techtarget.com/searchenterpriseai/tip/Strategic-approaches-to-effective-shadow-AI-governance”>discovers and controls AI on employee devices</a> across browsers, extensions, plugins and local AI tools.</li>
<li><b>Enterprise Browser.</b> Zscaler announced its plans to release a dedicated enterprise browser. The vendor already offers remote browser isolation through Zero Trust Cloud Browser Isolation and an extension via its Zero Trust Browser Extension, which the company believes addresses most customer use cases. However, for situations that require stronger security and more granular control, Zero Trust Enterprise Browser enables customers to choose the option best suited for their needs.</li>
<li><b>ZAgent Framework.</b> Zscaler also covered the AI for security side of the equation with its ZAgent Framework. This will serve as the foundation for autonomous SASE, enabling administrators to interact via natural language prompts in the Zscaler Experience Center. The ZAgent orchestrator interprets the intent and routes it to the right specialized agent for the part of the platform in question — i.e. ZIA, ZPA, SecOps, data security, etc. Ultimately, it will become the operations layer for a headless system.</li>
</ul>
</section>
<section class=”section main-article-chapter” data-menu-title=”Putting zero trust at the root of AI security”>
<h2 class=”section-title”><i class=”icon” data-icon=”1″></i>Putting zero trust at the root of AI security</h2>
<p>Many security teams are still wrapping their heads around the challenges AI poses in their environments. While <a href=”https://www.techtarget.com/searchsecurity/tip/How-to-secure-AI-infrastructure-Best-practices”>securing AI</a> requires a number of capabilities, the overall strategy should be rooted in zero trust. At its core, zero trust is about shifting security from a static, binary, perimeter-based model to a dynamic, risk-based, distributed architecture. The nondeterministic nature of AI means that simple <a href=”https://www.techtarget.com/searchsecurity/tip/Allowlisting-vs-blocklisting-Benefits-and-challenges”>allow/block policies</a> do not work.
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