Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this video, we introduce ggshield honeytoken and why it’s one of the most powerful tools in the GitGuardian toolbox. A honeytoken is a decoy secret that alerts you the moment someone tries to use it or validate it. Think of it like a digital tripwire. In GitGuardian, honeytokens can be created through the dashboard or API, and they look like real AWS keys because they are valid credentials. The difference is they grant zero access and are isolated to an AWS account GitGuardian maintains specifically for this purpose.

Since 2018, GitGuardian has been scanning for secrets added to GitHub public repositories. When a secret is found, GitGuardian hashes it and stores only a fingerprint of the secret. That fingerprint is what you can search against to verify whether any of your secrets have leaked in public repositories, gists, or issues on GitHub. This service is called Has My Secret Leaked, and in ggshield you’ll see it as the HMSL commands. There’s also a web interface, but in this section we stay in the terminal and use ggshield end to end.

Try THIS Prompt to Build a CRUD Note Taking App!

In this section, we cover what to do when ggshield finds something you don’t actually need to remediate, like a false positive, an intentionally fake credential in a demo repo, or a known non-sensitive test value. ggshield secret ignore lets you mark specific findings as ignored by adding them to the secrets.ignored_matches section of your local configuration. If your repo doesn’t already have a local config file, ggshield will create a.gitguardian.yaml file for you.

Let's look at Git hooks, which is where ggshield really starts paying off in day-to-day developer workflow. Git hooks are built-in automation in Git. When certain events happen, like committing or pushing, Git checks for specific files inside the.git/hooks folder. If a hook file exists, Git runs it automatically. For example, if there’s a file named pre-commit, Git will execute it every time you commit.

Can an under-the-radar AI tool actually build a secure, functional CRUD note-taking app from scratch? In this video, I put GitHub Raptor Mini to the test to see if it can design, implement, and reason through a real-world CRUD application — including authentication, data handling, and basic security considerations.