Zscaler launches AI Broker and Endpoint AI Security to protect autonomous AI agents

Zscaler launches AI Broker and Endpoint AI Security for AI agents

Zscaler launches AI Broker and Endpoint AI Security for AI agents Zscaler Inc. today unveiled a set of products designed to secure autonomous artificial intelligence agents, with the cybersecurity company claiming it has built the industry's first complete zero-trust platform for agentic AI. Announced at the company's Zenith Live 2026 conference in Las Vegas, the new tools extend Zscaler's Zero Trust Exchange platform to cover how AI agents connect to networks, reach enterprise data and run on employee devices. They address a security model that Zscaler argues is breaking down as companies move from human users to software agents that act on their own. Autonomous agents operate at machine speed, spin up temporary identities, spawn sub-agents and exercise permissions in ways that tools built around known human users struggle to see or control, the company said. That creates gaps in visibility and governance that obscure agent risk and make data flows hard to track. At the center of the launch are two products. Zscaler AI Broker secures agent-to-agent and Model Context Protocol communications and ships with an agent registry that lets organizations define what each agent is permitted to access. Zscaler Endpoint AI Security targets AI threats on employee devices, reaching into browsers, extensions, plugins and local AI tools that the company said legacy endpoint products were not built to inspect. Zscaler also introduced AI Access Graph, a tool that maps how identities, applications and data sources connect across an organization so security teams can spot and cut unnecessary access. The technology comes from Zscaler's acquisition of Symmetry Systems Inc., a deal announced in May for $175 million. Symmetry built its business around mapping data access across human and nonhuman identities. The announcements build on Zscaler AI Protect, which launched in January. The company is adding the ability to discover embedded AI in software-as-a-service and internet traffic, identify agents and MCP servers running in public cloud and scan agentic codebases for risk. It's also expanding controls for sanctioned AI tools, with prompt extraction across more than 250 generative AI apps and support for the compliance application programming interfaces offered by Anthropic PBC and OpenAI Group PBC. For teams building AI applications, Zscaler is adding red teaming for MCP servers, a standalone prompt hardening service and compliance heat maps meant to strengthen governance across the development and runtime lifecycle. The push reflects a wider scramble among security vendors to wrap controls around agentic AI before enterprises deploy it at scale. Rivals including Palo Alto Networks Inc. and Google LLC have rolled out their own agent security offerings over the past year and Zscaler has spent recent months acquiring its way into the category, picking up browser security firm SquareX Ltd. in February. "Traditional security was never designed for millions of autonomous agents that act and reach sensitive data at machine speed," said founder and Chief Executive Jay Chaudhry. "We pioneered Zero Trust Exchange to secure users, branches and cloud workloads and now we are innovating to extend the zero-trust security to AI agents." Zscaler did not disclose pricing or general availability dates for the new products.

Zscaler CEO Jay Chaudhry: Boldest Statements From Zenith Live 2026

When it comes to the push for enabling secure usage of AI and agents, 'this is the kind of moment Zscaler was built for,' Chaudhry said during the company's conference. As the AI era continues to ramp up, many of the traditional assumptions of business -- whether it's around cybersecurity or around how to enable employee productivity -- are quickly going out the window, Zscaler founder and CEO Jay Chaudhry said Tuesday. During his keynote at Zscaler's Zenith Live 2026 conference in Las Vegas, Chaudhry said that while users have long been considered the biggest risk in security, AI agents are rapidly becoming the "weakest link." [Related: Zscaler CEO On Vulnerability Surge From AI: 'We All Need To Be Paranoid'] Ultimately, Zscaler believes that its zero trust security platform is ideally positioned to address the huge needs organizations are facing in this fast-changing AI environment, he said. When it comes to the push for enabling secure usage of AI and agents, "this is the kind of moment Zscaler was built for," Chaudhry said. At the same time, Zscaler is aggressively expanding its platform to meet evolving demands, he said, including with the unveiling Tuesday of new products for AI broker, endpoint AI security and AI access graph. The Zscaler CEO also recognized partners Tuesday for the key role they are playing in making it possible to "drive transformation" in the way required by emerging AI capabilities. "Our partners have been a very important part of this journey," Chaudhry said. "They have been working together with Zscaler to help [customers] transform your applications, transform your network, transform your security." What follows are Chaudhry's five boldest statements from Zenith Live 2026.

Zscaler Unveils New Product Innovations to Secure Agentic AI

Delivers Industry's First Complete Zero Trust Platform for Agentic AI with Comprehensive Protection for How Agents Access Data, Interact with Systems, and Operate Across the Enterprise Zscaler, Inc. today announced major innovations to extend the Zscaler Zero Trust ExchangeTM platform to secure AI Agents-how they connect, access data, and run on devices. With these innovations, Zscaler is delivering the industry's first complete Zero Trust platform for Agentic AI. Today, enterprise security is undergoing a shift from human users to autonomous agents. Traditional security tools were designed around known human identities and predictable access patterns. Autonomous AI agents change that model. They operate on a user's behalf as well as autonomously and at machine speed, creating ephemeral identities, spawning sub-agents and tasks, and exercising permissions in ways that traditional security tools cannot fully see or control. While they can deliver significant efficiency gains, AI agents also introduce new gaps in visibility, access, and governance, obscuring agent risk and making data flows difficult to track at scale. As AI becomes more deeply embedded in software development, endpoints are also increasingly exposed to malicious agents, tools, and plugins that many legacy endpoint security solutions were not designed to detect. To help companies adopt agentic AI more securely, Zscaler is introducing the next evolution of its Zero Trust Exchange with new solutions that expand protections across the AI ecosystem - helping organizations put agentic AI to work with stronger security and greater confidence. These include two key advances: · Zscaler AI Broker helps secure agentic communications through MCP and A2A brokers. With an integrated Agent Registry, it helps organizations understand what each agent is allowed to access and apply fine-grained access across enterprise AI agents. · Zscaler Endpoint AI Security helps customers find and stop AI-related threats on employee devices, including risks hidden in browsers, plugins, extensions, and local AI tools. This capability reaches into the browser, extension, and plugin layers that traditional endpoint security tools miss. Now Zscaler can enforce policies to secure AI everywhere including endpoint and cloud. Introducing Zscaler AI Access Graph: Connecting the dots of Data and Identity lineage with AI for enhanced security and governance of Agentic AI An important element of agentic security is understanding which agents, users, and identities are communicating with which models, applications, and data sources. Powered by Zscaler's recent acquisition of Symmetry Systems, Zscaler AI Access Graph maps how identities, applications, and other data sources connect across the enterprise. The integration of this technology with Zscaler's Zero Trust Exchange enables organizations to understand and then enforce policies, reduce unnecessary access and risk, and track data lineage in real-time across every channel. Building on Zscaler AI Protect launched in January 2026, Zscaler is also delivering major new enhancements across AI Protect's three core use cases: · AI Asset Management (visibility into AI assets, usage, and risk) gains new capabilities to discover embedded AI in SaaS and internet traffic, identify AI agents and MCP servers in public cloud environments, uncover risks in agentic codebases through code scanning, and extend visibility to AI activity on endpoints. · Secure Access to AI (safe, governed access to sanctioned AI tools) expands controls for AI interactions with prompt extraction across more than 250 GenAI apps and adds full conversational views, support for Anthropic and OpenAI Compliance APIs, and intent-based guardrails for multi-turn conversations. · Secure AI Infrastructure and Apps (protection for AI apps across the development and runtime lifecycle) introduces AI red teaming for MCP servers, a standalone prompt hardening service, and compliance heat maps to strengthen AI governance. "Traditional security was never designed for millions of autonomous agents that act and reach sensitive data at machine speed," said Jay Chaudhry, Chairman and CEO of Zscaler. "We pioneered Zero Trust Exchange to secure users, branches and cloud workloads and now we are innovating to extend the Zero Trust security to AI Agents. Now Enterprises are not held back from rolling out agents everywhere". "Managing data security is no longer just about building high walls; it is about scaling visibility and treating data as a highly active, strategic asset," said John Israel, Global CISO at KPMG, who joined Zscaler as a guest speaker to discuss the launch. "As businesses scale their use of AI agents to optimize operations, having a unified, zero-trust framework to trace data lineage and govern agent-to-agent interactions is paramount to maintaining trust, compliance, and competitive advantage." Together, these innovations deliver a comprehensive framework for securing agentic AI - built on Zscaler's Zero Trust Exchange platform to protect enterprises today and into the future. By safeguarding agents with comprehensive security controls, organizations can now accelerate their AI adoption with confidence.