Built for AI agent builders

Your agent ran last night. Do you know what it did?

AI Guard sits between your AI agent and the real world. It checks every action before it runs, blocks the risky ones, and keeps a clear record of exactly what happened - and why.

Get early access — free for builders See how it works

Works with n8n · LangChain · CrewAI · OpenAI · Anthropic · Gemini

AI Guard checkpoint

before run

Email contains private dataRedacted

CRM update outside rulesBlocked

Slack reply looks safeAllowed

Agent wants to run

proposed

Agent wants to send email to customerGmail

Agent wants to delete 847 recordsDatabase

Agent wants to update CRM stageCRM

GmailSlackCRMAPIDatabaseGoogle Sheets

AI Guard

safety layer

Checks action

Detects risk

Allows or blocks

Decision trace

clear result

Email contains private dataRedacted

CRM update outside rulesBlocked

Slack reply looks safeAllowed

API call needs approvalNeeds review

The problem

Agents that can take actions can also cause damage.

Once your agent has access to real tools - email, databases, CRMs, APIs - a single bad decision can cause real damage. And it usually happens when you're not watching.

Deleted the database

An agent misread a condition and dropped every record in the table. Overnight. No warning.

Emailed the wrong person

A sales agent hallucinated a contact and sent a pricing email to a competitor.

Went completely off-script

A prompt injection in incoming data convinced the agent to ignore its instructions entirely.

The risky moment is not when the agent thinks. It is when the agent acts.

How AI Guard works

A safety checkpoint before every agent action.

Agent proposes an action

Your agent decides what to do next: send a message, update a record, call an API.

AI Guard checks it

Checks the tool, intent, data sensitivity, and your rules before anything runs.

Risky actions are stopped

Unsafe calls are blocked. Suspicious instructions are flagged. Uncertain actions are queued for review.

You get a full trace

Every action - allowed or blocked - is logged with the reason. You always know what happened.

Use cases

Useful when your agent can actually do something.

n8n & workflow agents

Prevent automation workflows from making wrong API calls, updating the wrong records, or triggering unintended downstream actions.

Sales email agents

Stop agents from emailing the wrong contact, leaking deal info, or sending messages you never approved.

Customer support agents

Catch agents before they share private data, make promises you can't keep, or escalate incorrectly.

CRM automation agents

Block agents from overwriting deal stages, wiping contacts, or making bulk updates without a review step.

Internal workflow agents

Audit every action agents take on internal tools - Slack, Sheets, Notion, databases - before they run.

Who it's for

For builders who've given agents access to real tools.

You're building an agent that can send, update, or delete real data

You're using LangChain, n8n, CrewAI, or OpenAI/Claude tool use

You've shipped an agent and wondered what it did while you were offline

You want logs, not surprises

You're not ready for heavy software

You want a simple safety layer you can drop in and trust

Early access

Looking for 10 builders who've given agents real access.

We're working hands-on with a small group of builders already running AI agents in production or testing. Free access, direct support, and real influence on what we build.

Apply for early access