Zscaler AI
Zero Trust's AI arm: discovering shadow AI and guarding it
Overview
Zscaler's AI Security Suite extends its Zero Trust Exchange to govern enterprise AI use — discovering shadow AI tools, controlling access to GenAI apps, and applying runtime guardrails and red-teaming to AI systems being built in-house.
Use cases
What you can produce with Zscaler AI
- Shadow AI discovery across endpoints, SaaS, cloud and code repos
- AI asset inventory and data/identity lineage mapping
- Granular access controls for GenAI applications
- Automated AI red-teaming and prompt hardening
- Runtime guardrails for in-house AI systems
- Built on the Zero Trust Exchange (4.7/5, 1,112 reviews on Gartner Peer Insights)
ASEAN Perspective
Zscaler AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Zscaler's AI push targets a problem that's now unavoidable for large enterprises: employees and developers are already using AI tools security has no visibility into. The AI Security Suite, launched January 2026, splits into AI asset discovery, access governance for GenAI apps, and runtime guardrails for internally built AI systems — and Project AI-Guardian, announced with systems-integrator partners in May 2026, extends that into supply-chain and posture risk for AI infrastructure specifically.
This rides entirely on the existing Zero Trust Exchange, which is well-regarded — the core platform holds a 4.7 out of 5 on Gartner Peer Insights across over a thousand reviews. But the AI layer is new enough that it lacks its own independent review base, so most of what's verifiable right now is vendor feature description rather than field-tested feedback. Pricing is entirely quote-based and enterprise-only; this isn't something a small team evaluates without a sales call, and it only makes sense bolted onto an existing Zero Trust deployment.
What people say
Zscaler announced its AI Security Suite on January 27, 2026, structured around three pillars: AI Asset Management for visibility into what AI tools and infrastructure are actually in use across the org, Secure Access to AI for granular control over which GenAI services employees and systems can reach, and Secure AI Infrastructure and Apps for teams building AI systems in-house, covering automated red-teaming, prompt hardening and runtime guardrails through the development lifecycle.
In May 2026 Zscaler expanded this with Project AI-Guardian, a partnership with global systems integrators aimed at helping enterprises adopt AI faster without losing control of it. The asset-discovery piece pulls signal from endpoints, inline network traffic, SaaS applications, cloud services and code repositories to build a picture of an organisation's full AI footprint — catching shadow AI usage, mapping how data and identity connect to specific AI assets, and surfacing supply-chain, posture and sensitive-data risks tied to them.
There isn't yet an independent review base specifically for the AI Security Suite or AI Protect on G2 or Gartner Peer Insights — it's too new — so most of the available detail comes from Zscaler's own announcements and trade coverage (StockTitan, WashingtonExec, GlobeNewswire) rather than field reports. What is well documented is the reputation of the underlying platform it's built on: Zscaler's Zero Trust Exchange carries a 4.7 out of 5 rating across 1,112 reviews on Gartner Peer Insights, with 83% of ratings at 5 stars, and reviewers consistently describe it as straightforward to configure and manage policy on despite the scale of what it's inspecting.
Pricing for the AI-specific modules is not published, consistent with the rest of Zscaler's catalogue, which is sold entirely through direct sales engagement with custom quotes. Third-party cost trackers estimate broader Zscaler platform spend in the range of $72 to $375-plus per user annually depending on tier and add-ons, with typical organisational contracts landing anywhere from roughly $7,500 to well over $200,000 depending on headcount — figures that should be treated as ballpark estimates rather than a real quote, since Zscaler doesn't confirm them.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Zscaler AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Zscaler AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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