GitGuardian

Paris, France
2017
  |  By Guardians
How to make your Celery tasks more resilient with best practices to prevent workflow interruptions and handle various failure scenarios.
  |  By Dwayne McDaniel
Automating secrets rotation requires maturity and planning. Let's look at how to inventory, scope, and secure credentials without risking downtime or vulnerabilities.
  |  By Guardians
Our stack to go from experimenting to production won't have any more secrets for you.
  |  By Guardians
Our breakthrough ML model FP Remover V2 slashes false positives by 80%, setting a new industry standard for secrets detection. Discover how we're helping security teams focus on real threats instead of chasing phantom alerts.
  |  By Dwayne McDaniel
Explore NIST-backed guidance on securing Non-Human Identities, reducing risks, and aligning with zero trust principles in cloud-native infrastructures.
  |  By Dwayne McDaniel
DevOpsDays Chattanooga 2024 delivered key insights on collaboration, security, and agile workflows with engaging talks, ignite sessions, and open discussions.
  |  By Guillaume Valadon
Come for the cybersecurity insights, stay for the raclette! Black Alps 2024 packed in Swiss charm with technical talks, a hacker's raclette dinner, and conference-logo chocolates. A perfect mix of threats, treats, and networking.
  |  By Dwayne McDaniel
At AI Summit Vancouver, experts explored AI ethics, security practices, and balancing innovation with a responsibility to shape a safer AI-empowered future.
  |  By Ferdinand Boas
Stop chasing false positives in your self-hosted instances. With GitGuardian's custom host for validity checks, security teams get real-time insights to prioritize active threats, reduce noise, and prevent costly breaches.
  |  By Guest Expert
Building positive relationships, sharing knowledge effectively, and making security "cool" are some of the most worthwhile security pursuits.
  |  By GitGuardian
Check out this insightful discussion on the realities of secrets management, featuring Grace Law, Principal Security Engineer in Application Security at a large insurance company, and Chris Smith, Product Marketing Director for Machine Identities & DevSecOps at CyberArk. Together, they’ll share real-world experiences and strategies for overcoming the most pressing challenges in secrets management and security.
  |  By GitGuardian
ARMO, a cloud-native security company, has been able to strengthen its security posture and ensure the protection of its client's data, thanks to GitGuardian. The company's CTO and co-founder, Ben Hirschberg, shared his experience of how GitGuardian has helped them close a significant security gap and instill a culture of security awareness throughout the organization.
  |  By GitGuardian
We are very proud to announce that you can now easily provide your own custom remediation messages in ggshield, the GitGuardian CLI. Earlier versions of ggshield offered the same general remediation advice to all users if a secret was detected when using git hooks for automated scanning.
  |  By GitGuardian
Do you hate false positives in your secrets scan results? We do too. GitGuardian has introduced a whole new approach to eliminating false positives, eliminating them by around 50% so far. And we are just getting started! GitGuardian's Machine Learning experts and Secret Detection team have created "FP Remover", a new in-house machine learning model that significantly reduces false positives by understanding code context and semantics while enforcing security and privacy best practices.
  |  By GitGuardian
GitGuardian SCA makes it easier than ever to build and group your SBOMs while staying up to date with any changes. Our Software Composition Analysis tool, better known as GitGuardian SCA, lets you instantly download up-to-date Software Bills of Material with the touch of a button. No more guessing if things have changed between the last version someone else generated and now. You'll never need to ask your developers to generate a fresh SBOM again.
  |  By GitGuardian
Supply chain security can be a struggle. The GitGuardian Source Composition Analysis module scans your project's dependencies, comparing them against public repos. If it finds any matches between your internal packages and public ones, it flags them as potential dependency confusion risks.
  |  By GitGuardian
Get better insight into your third-party licenses and easily stay on top of any changes with GitGuardian Software Composition Analysis (SCA), you can now get a thorough view of all the licenses used by your applications' dependencies from a single view. In your dashboard under the SCA Dependencies view you can easily filter by each particular license used by the components in your applications. Easily check for any unexpected entries from the convenience of the GitGuardian workspace.
  |  By GitGuardian
Introducing GitGuardian Software Composition Analysis, further expanding the capabilities of our code security platform. You have long known GitGuardian for secrets detection and remediation, honeytokens, and IaC scanning. Now, with GitGuardian SCA, you can effortlessly scan your applications to detect known vulnerabilities introduced through both Direct & Transitive dependencies. The platform will automatically prioritize incidents depending on their context and help developers find the best path to remediating any issues.
  |  By GitGuardian
MacOS users can now opt to install ggshield using our new signed packages. Installing ggshield, the GitGuardian CLI is a very quick process, but traditionally has required use of python's pip or homebrew on a macOS system. With the release of ggshield 1.27.0 we are now proud to offer signed DOT P G K files, making it possible to easily distribute ggshield to your team and leverage the official Mac Installer. Since it is officially signed, once downloaded, it just takes a couple of clicks to get it installed.
  |  By GitGuardian
GitGuardian can now help you find and remediate secrets exposed in your Microsoft Teams channels. We have extended the real-time detection capability of our secrets detection platform to include the popular communications tooling to help teams better fight secrets sprawl throughout their organizations Once integrated, whenever a plaintext credential is accidentally posted to Teams messages, GitGuardian will create an alert and the incident will appear in your GitGuardian dashboard, allowing you to remediate it like any other leaked secret.
  |  By GitGuardian
This white paper outlines our Secrets Management Maturity Model, a model to help your organization make sense of its actual posture and how to improve it.
  |  By GitGuardian
In this report from Forrester, you will learn how to get better at using Application Security Testing to heighten your developers' security senses.
  |  By GitGuardian
Discover Application Security solutions to further secure the SDLC by implementing automated secrets detection in the DevOps pipeline.
  |  By GitGuardian
In this document, we go beyond classical definitions of DevSecOps to express our vision of an emerging collaboration between Developers, AppSec, and Ops teams: the AppSec Shared Responsibility Model.

GitGuardian is the code security platform for the DevOps generation. With automated secrets detection and remediation, our platform enables Dev, Sec, and Ops to advance together towards the Secure Software Development Lifecycle.

Secure your software development lifecycle with enterprise-grade secrets detection. Eliminate blind spots with our automated, battle-tested detection engine:

  • There’s no secret we can’t find: With hundreds of built-in secret detectors scanning thousands of git repositories, GitGuardian brings everything to light. Build custom detectors to enhance your scans for secrets unique to your organization.
  • Precise, real-time detection without the hassle: High-efficiency detection proven by billions of commits. GitGuardian is fast, robust, and battle-tested — we’ve scanned over 3 billion commits pushed to public GitHub repositories since 2018.
  • Remediation in hours, not days: GitGuardian unites developer and security teams with cross-functional data for in-depth investigation and remediation. Enable shift-left testing using your existing systems, teams, and processes.

Keep secrets out of your source code.