👉 Introducing Forrester’s AEGIS Framework: Agentic AI Enterprise Guardrails For Information Security

DOWNLOAD

👉 Introducing Forrester’s AEGIS Framework: Agentic AI Enterprise Guardrails For Information Security

DOWNLOAD

Every laptop is a credential store. Inventory it like one

Infostealers don't break in. They steal credentials sitting in plaintext in .env files, shell history, CLI caches, and AI agent transcripts. No repo scanner reaches them. GitGuardian does.

40%

of laptop credentials are found in AI directories/logs.

The fastest-growing surface isn't a repo, it's a local AI cache.

2x

the baseline leak rate for AI-coding-tool users.

Every assistant writes credentials to disk, the developer never looks again.

Your EDR is built to detect malware. We tell you what the malware or the malicious AI agent can actually steal.

Security that stays out of Developers' way

And gives AppSec and Incident Response teams everything they need when something goes wrong.

Developers

Don't be the dev who caused the breach

Cursor, Claude Code, Copilot. They write credentials into history files, transcripts, and configs you'll never check. ggshield finds existing ones. AI agent hooks stop new ones.

APPSEC

Protect your most vulnerable attack surface

Secrets in .env, history files, and AI agent caches never hit a repo. Your pipeline scanners never see them. GitGuardian does.

INCIDENT RESPONSE

Know what was stolen before infostealers use it

A machine is compromised. GitGuardian surfaces every credential on it, ranked by severity. You know what was stolen and what to revoke first.

How it Works

Credential visibility in three steps. Deployed in minutes through your existing MDM. No new toolchain.

1 · Deploy

One config. Every machine

Deploy ggshield to your fleet through Intune, Jamf, or Kandji. ggshield is the #1 most-installed security app on GitHub.

2 · Scan

Nothing leaves the machine

Schedule scans across .env files, shell history, MCP configs, and AI coding agent caches. Only hashed metadata leave the machine.

3 · Respond

Ranked, routed, resolved

Every finding is ranked by machine and severity. Unvaulted credentials push to your existing vault. No manual triage required.

You maintain control over the entire process

No file contents leave the developer machine.

Book a Demo

From sprawl to control

First, see what's there.

You cannot secure what you can’t see. Start with the inventory.

  • Scan every surface that holds credentials: .env, shell history, CLI caches, IDE configs, cloud profile folders.
  • Cover the new AI surface: MCP configs, agent caches, transcript files from Cursor, Claude Code, Copilot, Windsurf, Gemini CLI.
  • Deploy in minutes via your MDM (Intune, Jamf, Kandji). Scans run on a schedule. No continuous agent.

Then close the three gaps your security stack leaves wide open.

Know the moment a credential is stolen.

  • Honeytokens fire the moment an infostealer harvests a credential.
  • See exactly which credentials were taken. No EDR alerts to wait on, no manual log review.
  • Know what to revoke before the attacker uses it.

What was on this machine? Answer in minutes, not days.

  • Get a fleet-wide view ranked by machine and severity when minutes matter.
  • Prioritized revocation list, ready to act on. No manual triage.
  • Know which credentials to revoke first, before the blast radius spreads.

Fix at the source.

  • Redact secrets from history files and agent caches at the source.
  • Migrate unvaulted credentials into your existing vault (HashiCorp, CyberArk, AWS Secrets Manager).
  • Route every finding into the incident workflow you already use. No new toolchain.

Dropdown

Dropdown

Dropdown

Dropdown

Dropdown

Here is how we’re delivering value to customers

Replaced open-source scanning across 1,000+ repos and got 100+ engineering hours back.

"GitGuardian reduces the burden on developers and platform engineers integrating smoothly into existing processes.”

C.J. May, Senior IT Security Analyst, Vermeer

Cleaned up the historical leak backlog across 400 developers in 3 months.

"GitGuardian lets us analyze the entire GitHub perimeter including developers' personal repos outside our control.”

Anne Hardy, CISO, Talend

17,000 false positives became 1 real exposure and new leaks dropped 80%.

"Prevention is the game changer. A secret that's not exposed poses no security risk and requires no remediation.”

Grégory Maitrallain, Solution Architect, Orange Business

Most teams find critical exposures  in the first scan