Every prompt inspected, every response checked, in real time, sensitive data stops before it leaves
Approve the AI tools your business is asking for, with controls you can show your auditors
Sensitive data stopped at the moment of the prompt, not discovered in a post-incident review
A record of every AI interaction, ready for regulators and the board
Every prompt every response checked
Prompt injection, jailbreaks, malicious URLs, and unsafe content caught inline, as they happen. Not discovered later in the logs.
Data protection applied at the moment of the prompt: 100+ DLP dictionaries, intent-based guardrails, and support for Anthropic and OpenAI Compliance APIs. Sensitive data stops before it leaves.
Every guardrail decision recorded, with real-time dashboards and alerting. A record of every AI interaction, ready for auditors, regulators, and the board.
ThreatLabz tied 410 million data loss violations to a single AI app in one year
Every prompt is a potential exit for your data, and every response is a potential entry for an attacker. The interaction is the risk. Employees paste, apps embed, agents relay, and it all happens thousands of times a day. AI Guard for Apps inspects prompts and responses inline, in the moment they happen. Data loss stops at the prompt. Attacks stop at the response. Discovery after the fact is a breach report. Inspection in the moment is control.
How it works
Guardrails at the Moment of the Prompt
Inline inspection
of prompts and responses on every AI interaction
Detection of prompt injection
jailbreak attempts, malicious URLs, and unsafe content
Data protection
applied at the prompt level with 100+ DLP dictionaries
Intent-based guardrails
that read what an interaction is trying to do, not just what it says
Support
for Anthropic and OpenAI Compliance APIs
Content moderation
policies applied consistently across your AI portfolio
Real-time dashboards
and alerting for every guardrail decision, ready for audit
Use cases
Say yes to AI, keep your data
The AI interactions flowing through your business carry your data out and the world’s content in. AI Guard for Apps stands in that flow, inspecting every prompt and response so the exchange stays safe in both directions.
An employee pastes a confidential agreement into an AI tool to summarize it. DLP catches the sensitive content at the prompt, redacts what must not leave, and the work continues without the exposure.
A response comes back carrying a malicious URL planted through indirect prompt injection. Inline inspection catches it before anyone clicks, because the response is checked as carefully as the prompt.
A conversation is steered, turn by turn, toward content policy forbids. Intent-based guardrails read where the exchange is going, not just the last message, and stop the drift mid-session.
When compliance asks what your AI interactions exposed this quarter, the answer is a record of every decision, produced in minutes. Not an investigation.
Better together
Part of Zscaler AI Security
Inspection is one layer. The platform carries the decision everywhere.
AI Guard for Users
access decided first, so inspection applies to tools worth approving.
AI Red Teaming
what testing finds, runtime guardrails hold in production.
AI Gateway
agent actions authorized alongside content inspection, decision and content together.
AI Endpoint Security
the same guardrails reach AI running on the device.
Zscaler Security For AI Overview
Q&A
Real-time inline inspection of prompts and responses that catches prompt injection, jailbreaks, and unsafe content as it happens, not after the fact.
An attack that hides malicious instructions inside a prompt or a response to manipulate an AI system into acting outside its intended purpose.
DLP applied at the moment of the prompt, with DLP dictionaries and intent-based guardrails that stop sensitive data before it leaves.
Yes. Responses are checked as carefully as prompts, catching malicious content or leaked data before it reaches the user.
A record of every guardrail decision, with real-time dashboards and alerting ready for auditors, regulators, and the board.