SELF-HOSTED AI DLP · SHADOW AI · AGENT & MCP SECURITY

Stop data leaking to AI.
Without blocking AI.

ContextGuard finds the AI tools, agents, and MCP servers your people already use,
then blocks or redacts secrets, customer data, prompt injection, and unsafe tool calls before they leave.

Get a free AI exposure assessment ↗ See the filter in action

30-minute call · discovery scan on machines you choose · written summary of what we find

CONTEXTGUARD / THE FILTER IN ACTION
AI activity, filtered by ContextGuardAn illustrative flow of AI requests passes through sensitive data, prompt threat, and unsafe action checks. Red threats are stopped at each layer. Approved activity continues in green.UNFILTERED ACTIVITYAPPROVED
✓ APPROVEDSafe requestDraft a project summary

01Request entersEvery request has a story.

See the event ↓
Threats blocked Work flows freelyILLUSTRATIVE FLOW
ONE POLICY. EVERY AI TOUCHPOINT.
Employee AIAutonomous agentsMCP toolsYour applications
From protection to proof

A blocked threat.
A clear record.

The decision is only the beginning. See the activity, the matched rule, and the outcome in one place.

ContextGuardCONSOLE PREVIEW · SAMPLE DATA
MONITOR / EVENTS

Activity log

4 sample events

Select an event to inspect its decision.

The selected threat connects directly to the filtering story above.
EVENT DETAILSHigh

API key

demo-event-001

Outcome
Inspecting request…
Channel
Browser extension
Agent
Employee AI
Target
AI chat
Direction
Request

Interactive preview based on the ContextGuard Events screen. All events and policies shown here are examples.

The Problem

AI adoption is moving faster than enterprise control

Blocking AI slows the business. Allowing it without visibility creates data, compliance, and operational risk.

👁
Shadow AI

Tools Nobody Approved

People adopt AI chat, coding agents, and MCP servers long before security hears about them.

⚠
Sensitive information

Data Exposure

An API key, a customer list, or source code pasted into a prompt has left the company for good.

🔓
Autonomous activity

Unapproved Actions

An agent with tool access can export records, or follow instructions hidden in a document it was asked to read.

◎
Governance gap

No Evidence

When a customer or auditor asks who used AI and what it touched, there is no record to show.

Try the filter

Good context stays.
Risk stops here.

One pasted credential. One hidden instruction. See how a request changes when protection sits in the middle.

Editable

Keep the useful context. Remove the exposed credentials and personal data.

02 / Filtered resultRedacted
Help me debug our payment integration. The API key is ⟨API_KEY⟩ and the account contact is ⟨EMAIL_ADDRESS⟩.
2 sensitive matches → redact before forwarding

⌁ Runs locally in your browser. Nothing is sent to an AI model.A limited, pattern-based demo of filtering behavior.

Built for a security review

Don’t take our word for it. Check it.

Runs in your infrastructure

Self-host it on Azure, any Kubernetes cluster, or on-prem, and scanned content never leaves your environment.

Every decision is recorded

Each block, redaction, and allow is an event with the rule that matched, and it exports to your SIEM.

Fails the way you choose

Per rule, a detector error either blocks or allows. A broken detector never passes content silently.

Check it before you talk to us

The demo below runs in your browser, and the docs and API spec are public.

We’re early, and we say so. ContextGuard is onboarding a small group of design partners who get direct access to the team building it and a say in what ships next.

Become a design partner →
Built around your business

AI is everywhere.
Your policy should be, too.

Explore the platform ↗
01
BROWSER EXTENSION

Employee AI

Protect sensitive information when employees use AI tools in the browser.

02
AI + MCP GATEWAYS

Agents & tools

Inspect agent requests and tool interactions. Apply policy before risky activity proceeds.

03
SDK INTEGRATION

Your applications

Bring the same scanning and policy controls into the AI experiences you build.

Control on your terms

Your infrastructure.
Your rules. Your record.

Choose your deploymentExplore self-hosted deployment for your data plane.

Make policy actionableDefine what to allow, redact, or block.

Keep a clear audit trailUnderstand what was detected and how it was handled.

Read the documentation
How It Works

From unmanaged AI to business control in four steps

ContextGuard turns policy into consistent action without forcing a replacement project.

01

Discover

See which AI tools and agents are being used across the organization.

02

Decide

Set clear rules for data, access, and acceptable AI behavior.

03

Protect

Stop risky activity before sensitive information or actions leave the business.

04

Prove

Create an audit trail for leadership, customers, and regulators.

Employee AI tools · internal applications · autonomous agents · enterprise data · connected services

Get Started

Start with the AI workflow that matters most.

Tell us what you want to protect. We’ll reply by email to set up a call.

What would you like?