Data Doesn't Just Leak Through People Anymore

See how AI agents access and move sensitive data, govern where it can go, and stop risky actions in real time.

Leakage Caught Before It Becomes a Headline

Data leakage rarely announces itself. AI agents make this harder because they autonomously retrieve, combine, decide, and move data across tools and systems, often without a person initiating each action. It happens through a prompt injection that redirects an output, a retrieval that pulls in more than it should, or an integration nobody reviewed.

Every data movement, tracked as it happens

Agent interactions, tool calls, and connector activity are visible in near real time, so a leakage path can be traced back to the exact step that caused it.

Untrusted destinations, blocked by policy

Domain, connector, and integration policies stop data from leaving approved environments before it ever reaches an untrusted destination.

A leak in progress, stopped mid-flow

When exposure is detected, Zenity can block the action, quarantine the resource, or revoke access automatically, without waiting on someone to notice first.

See the Risk. Stop the Movement. Contain the Leak.

Watch every agent decision and movement

Every agent interaction breaks down into step-by-step visibility such as what data an agent accessed, where it sent it, and which tools or connectors were involved. That forensic trail is what surfaces a leakage path while it's still just a path, not yet an incident.

Key Features

• Granular-level visibility into prompts, retrievals, and tool invocations
• Activity correlated to the initiating user, agent, and application
• Real-time telemetry from AI services like Microsoft 365 Copilot, etc.

Trusted by Forward-Looking Security Leaders

“With Zenity we were able to build a program to remediate existing vulnerabilities with a product that relies on self service and auto-fix so we can scale.”
Fortune 20 Technology
90% Existing vulnerabilities remediated within 4 months with 2 FTEs
Fortune 20 Technology
280% Tenant grew over 12 months
Fortune 20 Technology

“We needed a way to partner with the business. Zenity gives us confidence to continue enabling our employees to innovate with AI Agents and applications.”
Fortune 50 Pharmaceuticals
82% People developing these systems are not professional developers
Fortune 50 Pharmaceuticals
2,000 Instances of agents and apps that were shared across the entire org
Fortune 50 Pharmaceuticals

"Zenity provided a preventative layer to proactively reduce security violations of our Agentic AI use. As a result, we saw tremendous growth in cross-departmental adoption of AI Agents."
Fortune 200 Consulting
90% Reduction in security violations
Fortune 200 Consulting
95% High-risk violations automatically remediated
Fortune 200 Consulting

"With Zenity, we identified and managed risks from a huge attack surface containing over-shared resources that had access to sensitive data, DLP bypass routes, and misconfigured AI Agents."
Fortune 50 Financial Services
80% Risk reduction across the tenant containing 150k+ total resources
Fortune 50 Financial Services
180% Growth in agent, app, and automation volume
Fortune 50 Financial Services

Analyst Recognition & Research Coverage

Gartner Securing Agent Actions Not Prompts White Papers

Gartner® Names Zenity as the Company to Beat in AI Agent Governance Company News

Zenity Named Gartner® Cool Vendor in Agentic AI TRiSM Company News

Start Securing Your AI Agents Today

Your AI is already live. Is your security catching up? Zenity brings observability, enforcement, and protection under one roof.

Frequently Asked Questions About Data Leakage

What is data leakage?
Data leakage is the unauthorized transfer of sensitive information to a third party, whether intentional or accidental, often due to misconfigurations, insecure systems, or insider threats.

How to prevent data leakage?
Prevention combines continuous discovery, strict access controls, secure AI practices, and automated blocking of unsafe data transfers.

What is information leakage?
Information leakage refers to any exposure of sensitive data that could give adversaries insight into your systems, processes, or users.

What are the main risks and mitigation of data leakage?
Risks include regulatory fines, reputational harm, and operational disruption. Mitigation involves encryption, least-privilege access, data minimization, and AI-aware security measures.