Every identity, app, and agent, mapped to the data it can reach. Live. Over-privileged access fixed before it becomes an incident
Over-privileged access surfaced and fixed proactively
Data lineage you can easily follow and prove
Blast radius understood before an incident, not reconstructed after
A Live Map of AI Access
Continuous discovery of every AI asset in your environment, and a live graph of how they connect: identities, agents, AI apps, models, MCP servers, data, and tools. Not a snapshot from last quarter's review. The current state, whenever you ask.
Access that exceeds intent is surfaced and prioritized by the sensitivity of what it can reach. Remediation is built in, not just reported: excess permissions revoked, sensitive data masked, least privilege enforced.
Follow data as it moves through AI workflows: what an agent read, where it came from, where it went. Lineage you can put in front of an auditor or a regulator without a reconstruction project.
In a Cloud Security Alliance study 53% of orgs disclosed having AI agents exceed intended permissions
Most AI incidents will not start with a sophisticated attack. They will start with the common problem of over-permission. AI makes this old problem urgent, because agents exercise the access they have, all of it, at machine speed. Answering the basic questions has been slow work: what can this identity reach, what did this agent touch, what breaks if this credential is compromised. By the time those answers are assembled by hand, they are already out of date. Access questions need live answers.
How it works
Reachability, Not Just Entitlements
Continuously discovers AI assets
across the estate (identities, agents, AI apps, models, MCP servers, data, and tools) and builds the live graph of relationships between them
Evaluates effective reachability
rather than listed entitlements, so nested and inherited access is visible, not just what a policy document says
Adds activity context to the map
not just what could be reached, but what is actually being accessed and by whom
Prioritizes over-privileged access
by the sensitivity of the data it exposes, with built-in remediation: revoke excess permissions, mask sensitive data, enforce least privilege
Detects abnormal data and AI behavior in near real time
surfacing exfiltration and insider threat patterns alongside posture findings
Maintains data lineage for AI workflows
including agent-initiated reads and writes
Feeds the rest of Zscaler AI Security
access context informs AI Gateway authorization decisions and AI SPM posture findings
Use cases
Know What AI Can Touch
Every identity, agent, AI app, model, MCP server, and tool in your environment can reach some of your data. AI Access Graph discovers them all, maps those connections live, shows you where access exceeds intent, and helps you fix it before it becomes an incident.
An agent inherits broad access from the identity that deployed it and quietly keeps it. The graph shows the gap between what it can reach and what its job requires, and the fix takes minutes instead of a quarter.
Before a new AI workflow ships, see exactly what it will be able to touch and trim access to intent. The review happens on a live map, not a spreadsheet of entitlements.
When the auditor asks how customer data is used by AI, the answer is a traceable path: which systems, which agents, which reads and writes. No reconstruction project, no best guesses.
Years of accumulated permissions meet a live reachability map. Unused and excessive access is identified and retired systematically, shrinking the surface AI can exercise.
Better together
Part of Zscaler AI Security
The graph tells you what can be reached. The platform controls what happens next.
AI SPM
across the estate (identities, agents, AI apps, models, MCP servers, data, and tools) and builds the live graph of relationships between them
DSPM
rather than listed entitlements, so nested and inherited access is visible, not just what a policy document says
AI Gateway
not just what could be reached, but what is actually being accessed and by whom
AI Endpoint Security
by the sensitivity of the data it exposes, with built-in remediation: revoke excess permissions, mask sensitive data, enforce least privilege
Zscaler Security For AI Overview
Q&A
DSPM discovers and classifies sensitive data. AI Access Graph maps who and what can reach it, and how. They answer different questions and work best together.
Both, plus service accounts. Agents are first-class citizens in the graph, including access they inherit from the identities that deploy them.
No. The graph is maintained continuously, so answers reflect current state rather than the last review cycle.