Use case

Gen AI Threats

Block Exfiltration to AI Platforms Like Google Gemini, ChatGPT and Deepseek

The Problem

The rapid adoption of generative AI platforms—Google Gemini, ChatGPT, Deepseek, and others—presents a new frontier for data exfiltration risks. Whether users intend to quickly solve a coding challenge, summarize internal documents, or brainstorm with AI, they might copy and paste confidential or proprietary information into these systems. Despite often being well-intentioned, this can lead to unintentional leakage of sensitive data, including trade secrets, code snippets, or customer information.

Key challenges

Security teams need holistic visibility of device usage, repeated infections, and risky installations in order to proactively secure endpoints without throttling productivity.

The Anzenna Solution​

Anzenna tackles this emerging risk with a graph-based, agentless platform that monitors and correlates user activity across endpoints, cloud apps, and web sessions. By stitching together relevant events—including access to confidential files, copying content, and connecting with AI services—Anzenna enables real-time detection and proactive blocking of suspicious data transfers to platforms like Google Gemini, ChatGPT, and Deepseek.

Deep Visibility into AI Interactions

Comprehensive Risk Scoring and Audit

Real-Time Alerts & Blocking

Holistic Exfiltration Control

Stay ahead of the evolving threat landscape with Anzenna. Protect your organization from unintentional or malicious data leaks into AI platforms—without stifling innovation or productivity.

Other Related Use Cases

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Identity Threats

Safeguard against credential theft and account takeovers with continuous, real-time vigilance.