AI Governance & Analysis

Use AI, Keep Your Data Inside

See which AI tools your employees use and what they send to them. Catch sensitive data the moment it is pasted into a prompt, and hand your auditor evidence. Inspection and records stay on your own infrastructure.

Solution Summary
In-Perimeter AI
Production Ready
4
AI platforms covered
<5%
Agent CPU usage
✓Integrated modules: AI Governance & Shadow AI Control, Data Loss Prevention (DLP), Centralized Endpoint Management
✓Single lightweight agent, zero crash risk, sovereign telemetry
First 200 endpoints free for the first year. AI governance is part of the DLP module.
THE PROBLEM

AI usage is either banned or invisible

You are stuck between two bad options. Ban it and employees find a workaround while productivity drops. Leave it open and a customer list, a piece of source code, or identity data gets pasted into a public AI chat, leaving your control within seconds.

!

Shadow AI you cannot see

Employees use ChatGPT, Copilot, Claude, and Gemini without approval. Nobody knows which endpoint, which user, and which model received what.

!

Leakage in seconds

Antivirus and firewalls treat this traffic as legitimate. A single paste becomes a reportable data breach under KVKK and GDPR.

!

No evidence for auditors

The auditor asks who sent what to which AI tool. Collecting proof from screenshots and emails takes weeks and still comes up short.

THE SOLUTION

Govern without banning, prove without guesswork

Moftgate discovers AI usage across four layers, inspects prompt content on the endpoint, and produces audit-ready evidence. All telemetry stays on your own servers.

✓

Prompt and upload capture

The agent captures prompt text, model name, and uploaded file names for ChatGPT, Copilot, Claude, and Gemini, then blocks, redacts, or records according to your policy.

✓

AI Activity Logs forensic view

Time, user, endpoint, platform, model, risk score, and full prompt text on one screen. Prompt content is restricted to administrators and every view is written to the audit log.

✓

Deterministic incident analysis

The incident summary is rule-based: it shows the matched classification, the legal reference, and the mitigation taken. The same record always produces the same output, with no hallucination risk.

✓

Data sovereignty

Inspection runs on the endpoint and records stay in your database. Nothing is sent to third-party analytics or model providers.

HOW IT WORKS

From Install to Proof in Four Steps

  1. 01

    Discover shadow AI

    See which AI tools are in use through endpoint software inventory, web traffic, and SaaS connections.

  2. 02

    Enforce your AI policy

    Decide which services are approved, coach or block the rest, and restrict access to corporate tenants only.

  3. 03

    Turn on prompt DLP rules

    Enable KVKK, card data, identity, and source code patterns on the AI channel so sensitive data is caught before it enters a prompt.

  4. 04

    Hand auditors the evidence

    Pull AI usage trends, blocked attempts, and policy coverage from AI Activity Logs and compliance reports.

MEASURABLE IMPACT

Outcomes You Can Verify

4
AI platforms covered
<5%
Agent CPU usage
15 min
Install to first heartbeat
200
Devices free for the first year
FREQUENTLY ASKED QUESTIONS

Answers Before You Decide

No. Inspection runs on the endpoint and prompt records are stored in your own database. No telemetry is sent to third-party analytics or model providers.
ENTERPRISE SECURITY & BUSINESS RESILIENCE

Make AI usage visible this week

With a 15-minute install, see how your employees use AI, govern it without banning, and produce audit-ready evidence.