By rewriting our secret detection engine in Rust, we made our engine more than three times as fast. But not without making it four times slower along the way.
We are excited to announce the release of the GitGuardian Visual Studio Code Extension version 0.23.0! Aside from updating the tool to use the latest version of ggshield, it now can show all findings in a convenient list view int he primary sidebar.
This year's report shows how credential sprawl across DevOps, SaaS, CI/CD, the cloud, and developer laptops turns initial access into operational impact.
ggshield 1.51 is here with better support for AI-powered development and browser-less environments. This release adds Codex hook support, MCP server detection across Claude and Cursor, and `ggshield auth login --method oob` for SSH sessions and headless servers. It also strengthens trust in the ggshield supply chain with GitHub Artifact Attestations for release binaries, improves plugin management through your authenticated GitGuardian instance, adds a `vscode` alias for Copilot hook installation, and shows workspace ID in `ggshield api-status`.
AI coding assistants like Claude Code and Cursor are helping developers write more code faster, but that also means more chances for secrets to slip into prompts, files, commits, and tool outputs. GitGuardian’s new open-source **agent-skills** repository teaches AI agents how to use **ggshield** directly inside the developer workflow: when to scan, how to read findings, and how to guide remediation for leaked credentials.
In an AI-assisted development era, the third edition of BSides312 showed why trust, identity, access, evidence, and community remain core to security work.
Code from GitHub and Grafana is in criminal hands. Secrets buried inside could open doors no one is thinking of protecting yet, and AI will make hunting 0-days in that private code faster than ever.
A single leaked Kubernetes credential rarely stays in the cluster. It opens the registry credentials, private Docker images, and private GitHub repositories behind it. In Q1 2026 alone, our detectors caught close to 2,000 new such leaks on GitHub, 28% valid at leak time.