Every AI agent in your company.
Every system it can touch.
One graph.

AgentGuard discovers the AI agents living in your codebase — LangChain, custom, CI, MCP-connected — maps their credentials, tools, and permissions, and hands you the security findings. Before an incident does it for you.

Runs 100% locally. Your code, configs, and credentials never leave your machine.

82%
of enterprises have unknown AI agents in their environments
Cloud Security Alliance, Apr 2026
69%
say security concerns are slowing their agent adoption
Okta enterprise buyer survey, Jan 2026
65%
had an AI-agent-related incident in the last 12 months
CSA / Token Security, Apr 2026

Your agents already have production access. Do you have a list?

Agents don't announce themselves. They're a Python script with an API key, a service account, an MCP config on a laptop, a nightly CI job. AgentGuard finds them and shows what they can reach.

1Discover

Detects agent frameworks, model SDKs, MCP servers and configs, CI agents, and AI CLIs across your repositories — including the ones nobody registered.

2Map

Builds the security graph: agent → credential → MCP server → tool → system. Shared keys, destructive tools, and toxic permission combinations light up.

3Fix

Ranked findings with evidence and a concrete fix — rotate this key, gate that refund tool, assign this orphaned agent an owner.

3
Agent workloads
6
MCP servers
2
Destructive tools
7
Exposed credentials
2
Unowned agents
Critical Same Anthropic API key shared by 2 agents
Critical refund-agent combines PII access with financial write permissions
High Write-capable MCP tools carry no annotations
Open the full sample report →

Try it on your own code

Two commands. It reads your files, writes an HTML report next to you, and makes no network calls — you can run it with the wifi off.

Prefer not to install anything? Read the sample report — it's the real output from a test environment. Found something surprising in your own scan? Tell us — that's exactly what we want to hear about.

Why it runs locally

Asking a security team to hand a young vendor read access to everything is a six-month conversation. So we didn't build that. The scanner runs in your environment, the report is a file you own, and nothing — no code, no credentials, no telemetry — leaves your machine. When you want continuous monitoring, that's a conversation we earn after the first report.

Where this goes

Posture first. Trust before enforcement.

TODAY

Discover

Inventory every agent, credential, MCP server, and tool.

NEXT

Observe

Audit trail of what each agent actually did.

THEN

Govern

Policies for what each agent may do.

THEN

Enforce

One policy, compiled to every gateway you already run.

LATER

Automate

Anomaly detection and automatic suspension.

Get the early access build

We're onboarding a small group of design partners: you run the scanner, we walk the findings with you, your feedback shapes the product. No data leaves your environment at any point.