# AI Activity & Data Leak Monitoring

> Monitor how your people and agents actually use AI - any provider, not just one.

Claude, ChatGPT, Gemini, Copilot - your people are already using AI, whether IT approved it or not. We monitor AI activity across every provider your organization touches: what's pasted into prompts, what files get uploaded, what AI agents do with your data - integrated with your existing SIEM, DLP, identity and eDiscovery stack, so a data leak through an AI tool gets caught like any other security incident instead of discovered after the fact.

## Outcomes

- Visibility into employee and AI-agent activity across every AI provider in use - sanctioned and shadow
- Real-time detection of sensitive-data exposure in prompts, uploads and AI-agent tool calls
- Policy enforcement against confidential data being fed into third-party model training
- Integration with your existing SIEM, DLP, identity and eDiscovery workflows

## Process

01. **Discover** - Inventory which AI tools and providers are actually in use - sanctioned and shadow.
02. **Integrate** - Connect AI usage telemetry (Claude Compliance API, enterprise ChatGPT/Gemini/Copilot admin logs) into your SIEM and DLP.
03. **Monitor** - 24/7 monitoring for sensitive-data exposure, policy violations and anomalous AI-agent behavior.
04. **Respond** - Alerting, incident response and policy tuning when a violation is detected.

## Deliverables

- AI usage visibility dashboard
- SIEM/DLP integration
- Data-leak and policy-violation alerting
- Monthly AI risk posture report

## Standards

NIST AI RMF, OWASP Top 10 for LLM Apps, DPDP Act, GDPR


## Overview

Generative AI tools are now a standard part of research, software development, document processing and customer support - and every one of those workflows is a potential channel for sensitive data to leave the building. Enterprise AI providers are starting to expose compliance APIs (like Claude's) that give security teams visibility into that activity, but most organizations have no process to actually use them, and no visibility at all into the AI tools their people use without IT's knowledge.

We stand up and manage that visibility: integrating every AI provider your organization actually touches into your existing SIEM, DLP, identity and eDiscovery workflows, so AI-driven data exposure is caught the same way any other security incident would be.


## What we cover

### Cross-Provider AI Visibility
Monitor Claude, ChatGPT, Gemini, Copilot and other AI tools your teams actually use - sanctioned and shadow.

### Sensitive-Data Leak Detection
Flag confidential data, credentials and regulated information pasted into prompts, files or AI-agent tool calls.

### Training-Data Exposure Prevention
Enforce provider data-use/training opt-outs and alert on data that risks being fed into third-party model training.

### Shadow AI Discovery
Identify unsanctioned AI tools and browser extensions in use across the organization.

### SIEM, DLP & eDiscovery Integration
Feed AI activity into your existing SIEM, DLP, identity and eDiscovery workflows instead of a siloed AI dashboard.


## FAQ

**Do you only monitor Claude?**
No - Claude is one of several integrations. We monitor activity across whichever AI providers your organization actually uses, including Claude, ChatGPT Enterprise, Gemini and Microsoft Copilot, through each provider's enterprise admin/compliance APIs.

**Can this stop our data from training someone else's model?**
We help you configure and enforce each provider's data-use and training opt-out settings, and monitor for violations - the opt-out itself is set by the AI provider, but we catch sensitive data leaving through prompts and uploads before it becomes a training-data or compliance problem.

**How is this different from your AI/LLM Security Testing service?**
AI/LLM Security Testing is a point-in-time offensive assessment of AI apps you build. This is ongoing managed monitoring of how your organization uses AI tools day to day - the two pair well together.

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