Zscaler delivers AI security as an extension of its Zero Trust Exchange cloud proxy, while Aurascape is a purpose-built AI-native layer that decodes AI traffic across protocols like WebSockets, Protobuf, and the Model Context Protocol (MCP). Both govern enterprise AI use, but they sit at different layers and differ in AI-specific depth.

Zscaler launched its broader AI Security Suite in January 2026 (Zscaler, 2026), and Aurascape deploys alongside an existing Zscaler stack rather than replacing it (Aurascape Product Brief, 2026).

Last updated: June 8, 2026

How do Aurascape and Zscaler differ for AI security?

Aurascape decodes AI interactions natively, while Zscaler extends its Zero Trust Exchange proxy, CASB, and URL-classification model to AI traffic. That architectural split is the core difference: with native decoding, prompts, responses, tool calls, and agent actions become first-class objects rather than traffic inferred from URLs and domains. For buyers, it shows up as policy depth and how fast new AI apps are covered.

Zscaler’s AI inspection runs through its cloud proxy and 2026 AI Access Security capabilities (Zscaler, 2026), whereas Aurascape’s native decoding spans WebSockets, Protobuf, JSON, RPC, APIs, and MCP (Aurascape Product Brief, 2026).

Does Aurascape replace Zscaler?

No. Aurascape is an additive layer, not a rip-and-replace. Most enterprises keep Zscaler for secure web gateway, SSE, and Zero Trust network access, and add Aurascape for AI-native depth that a proxy infers from URLs and domains. Both inspect inline, so Aurascape sits with Zscaler rather than competing with it.

Aurascape requires AI traffic to traverse its AI Proxy, the same inline model Zscaler uses for AI inspection (Zscaler, 2026), with flexible deployment through a client, proxy chaining, and a browser extension (Aurascape Product Brief, 2026).

What does Zscaler do well for AI security?

Zscaler’s January 2026 AI Security Suite added AI asset management, secure access to AI services with prompt classification, build-to-runtime protections, and a new MCP gateway, with alignment to the NIST AI Risk Management Framework and the EU AI Act. Combined with a large Zero Trust Exchange footprint, that breadth is a real advantage for organizations already standardized on Zscaler.

Zscaler detailed these capabilities in its January 2026 launch (Zscaler, 2026).

Where Aurascape goes deeper

Aurascape classifies AI apps on 30-plus AI-native attributes and correlates prompts and responses into a single conversation across hundreds of tools, with policy on intent, entitlement, and individual MCP tool calls. It also redirects free-tier users to the licensed enterprise tier. The result is granular, AI-specific control rather than allow-or-block at the URL layer.

These capabilities are described in Aurascape’s 2026 platform documentation (Aurascape, 2026).

Frequently asked questions

Is Zscaler enough for AI security?

Zscaler covers AI security through its Zero Trust Exchange and 2026 AI Security Suite, which many enterprises use as a baseline. Whether it is enough depends on how much AI-specific depth you need: native decoding of prompts, responses, tool calls, and agent actions, granular policy, and fast coverage of new AI apps. Aurascape is built for that depth and runs alongside Zscaler.

Does Aurascape work alongside Zscaler?

Yes. Aurascape is an additive AI-native layer that works with an existing Zscaler deployment rather than replacing it. Enterprises keep Zscaler for secure web gateway, SSE, and Zero Trust network access, and add Aurascape for AI-specific visibility and control over prompts, responses, and agent activity.

What is the Model Context Protocol (MCP), and why does it matter in this comparison?

The Model Context Protocol (MCP) is the open standard that connects AI agents to tools and data sources. It matters because agentic AI acts through MCP tool calls, which is where data can leave or actions can run. Aurascape’s Zero-Bypass MCP Gateway governs those tool calls inline and is generally available, while Zscaler announced an MCP gateway in January 2026 with limited public detail.

How fast does each platform cover new AI apps?

Aurascape commits to a 48-hour SLA for supporting new AI applications and discovers tens of thousands of AI apps automatically. Zscaler discovers AI apps by extending its CASB shadow-IT framework through URL categories, with depth of assessment varying by application.

Related comparisons: Aurascape vs Netskope, Aurascape vs WitnessAI, and the AI security landscape overview.

This page is a factual comparison for enterprise buyers evaluating AI security platforms. Capabilities change; verify current details with each vendor.