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GitGuardian Platform
The end-to-end secrets security platform for enterprises. Scan and fix hardcoded secrets in source code, CI CD pipelines, and productivity tools with GitGuardian code security platform.
Reviews (308)
PrinceKumar7
Automated secret detection has transformed our workflows and now prevents leaks in real time
Reviewed on Sep 23, 2026
Review from a verified AWS customer
What is our primary use case?
Our primary use case for GitGuardian Platform is preventing credentials and other sensitive secrets from being accidentally committed to source code or exposed through our development and CI/CD workflows. We experienced one or two incidents where our secrets were leaked through Git when developers accidentally committed them or they were exposed through the pipeline. This is crucial from an infrastructure perspective because our application interacts with many cloud services. For example, development and deployment environments can contain AWS access keys, API keys, database credentials, and JWT tokens. The problem is not always intentional credential exposure, as a developer can accidentally include credentials in a .env file, Terraform variable, Docker file, or CI/CD configuration and commit it to Git.
GitGuardian Platform is designed to detect hardcoded secrets in both repositories and CI/CD workflows, including historical repositories and new contributions. It supports integrations with GitHub, GitLab, Bitbucket, and Azure DevOps, all of which we use in our organization. Our precise use case is to detect secrets before they become a production security issue.
GitGuardian Platform fits into our workflow in many steps. The first step is repository secret scanning, the second is CI/CD pipeline production, the third is pull request scanning, and the fourth is historical scanning.
How has it helped my organization?
Since adopting GitGuardian Platform, the most significant improvement in our organization is moving secret security earlier in the development process. Previously, the workflow involved developers committing secrets, which remained in repositories, leading to manual discoveries by the security team, credential rotations, and further investigations. This process was burdensome and time-consuming. Now, we have automated detection where developers commit secrets, the scanner detects them, the security team receives findings, and the secrets are either removed or rotated, significantly shortening the time between exposure and detection. This reduces our reliance on developers to remember every possible security rule.
I recall scanning twenty repositories for any secrets manually when our first AWS account was hacked, which took me around four days. However, GitGuardian Platform saves all those four days of my manual work by automating this process.
What is most valuable?
In my experience, the best features of GitGuardian Platform include real-time secret detection, which is invaluable for catching credentials close to when they are introduced rather than finding them weeks later. The second feature is historical repository scanning. Additionally, it has CI/CD integration, can integrate with multiple Git platforms, offers custom detectors, provides context-aware detection, and allows for severity and prioritization of issues.
The first three features have saved us considerably, particularly the real-time secret detection, while we initially also depended on historical repository scanning. As a DevOps professional, CI/CD integration is critically important to me.
What needs improvement?
I would improve GitGuardian Platform by reducing false positives and streamlining remediation. I also desire stronger integration around issue management workflows. For instance, once a critical secret is detected, the ideal workflow should involve detection, ticket creation, owner assignment, credential rotation, verification, and closure. The more automated this process becomes, the fewer manual security work is required.
For how long have I used the solution?
I have been using GitGuardian Platform for around one year.
What other advice do I have?
My advice for others considering GitGuardian Platform is that for DevOps and cloud infrastructure teams, integrating secret detection into normal development and CI/CD workflows makes much more sense than relying entirely on manual security reviews. This tool is incredibly useful. I would rate this product a ten out of ten.
Kelvin Rogers
Automated secret checks have protected our QA pipelines and prevent critical key exposure
Reviewed on Sep 22, 2026
Review from a verified AWS customer
What is our primary use case?
As a software test engineer, my main use case for GitGuardian Platform is to ensure we do not accidentally publish passwords, API keys, and other secrets in our test code. I use GitGuardian Platform to scan all our QA automation repositories and test files such as Selenium, Cypress, and Postman collections, plus block any secret in the CI/CD pipeline before it gets merged. The most valuable part is that it functions as a spell checker for secrets. It instantly warns us in the pull request if someone has coded a key. It checks whether the leaked key is still active or already expired, so we do not waste time on fake test data. Additionally, it has a simple tool called ggshield that stops the leak on our own laptop before we even push code, plus it sends alerts to Slack and Jira so we can track and fix it as a normal bug.
Initially, we were doing a release rush last quarter and one of our junior QAs was writing a Cypress automation test for the payment flow. To make the test pass quickly, he copied a real SK live Stripe production key and a real test user password directly from our production configuring file and pasted it into cypress/e2e/payment.spec.js and pushed it to a feature branch. He created a PR and within 15 seconds, GitGuardian Platform flagged it on the PR itself. A critical valid Stripe secret key was detected at file payment.spec.js line 32, and it was also marked as valid and active. Because we had ggshield in our CI pipeline, the Jenkins build failed automatically and a Slack alert went to our QA channel, tagging him. The ticket was auto-created in Jira as critical. If that PR had been merged, that live production Stripe key would have been in our Git history forever and anyone with repository access could have charged customers or stolen payment data.
Before GitGuardian Platform, the same mistake happened two to three times a month and we only found it during manual code review. This time, we caught it before it even reached the main branch.
What is most valuable?
The best features GitGuardian Platform offers include real-time secret detection in PRs, validity check, ggshield CLI plus pre-commit hook, CI/CD pipeline gate, historical scanning, honeytokens, and excellent integration with Slack and Jira.
The ggshield CLI and pre-commit hooks are a small tool you install on your laptop. With ggshield installed in local mode, it blocks your commit locally before you push. This means a junior QA cannot even push a secret by mistake, catching the issues at the earliest point before it affects your system.
I also appreciate the interface of GitGuardian Platform. It is user-friendly and intuitive, making it very easy for us to learn and use.
GitGuardian Platform has positively impacted my organization by reducing risk from 100 to almost zero, saving a lot of QA time, and changing our QA culture.
What needs improvement?
GitGuardian Platform could be improved with better grouping of alerts and smarter handling of dummy test data.
Additionally, QA-friendly reports would be beneficial.
For how long have I used the solution?
I have been using GitGuardian Platform for the past eight years.
What other advice do I have?
My advice to others looking into using GitGuardian Platform is to start by scanning your QA files such as Postman and Cypress first where most leaks hide. Make the ggshield pre-commit hook mandatory for all QAs so leaks are blocked on the laptop. Use a secret vault instead of hardcoding real keys. Spend one hour to allow list your dummy test data such as test123 to avoid false alarms. Also, add a no GitGuardian Platform alert to your definition of done for every PR. Do this and you will have zero secrets in your main branch.
It is a very cost-effective tool, and I highly recommend it. I would rate this product a 9 out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Daksh M.
Accurate Incident Details That Pinpoint Risky Code Fast
Reviewed on Sep 19, 2026
Review provided by G2
What do you like best about the product?
The incident details are very accurate. I can clearly see which line caused the incident, or which part contains a hardcoded secret key that could affect us.
What do you dislike about the product?
If possible, I’d like the time delay improved so I can get incident notifications as soon as possible. I don’t want to wait days or even hours to receive a notification that something has happened or is affecting things.
What problems is the product solving and how is that benefiting you?
Keeping track of my incidents is what Git Guardian helps me with. Before deploying, I do the testing, and after I push the code there’s a CI/CD pipeline that runs tests again. But what happens after deployment—like code incidents I might not know about—is where Git Guardian helps me stay on top of things.
reviewer2890770
Automated secret detection has improved remediation speed and strengthens repository security
Reviewed on Sep 17, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for GitGuardian Platform is monitoring the repositories for exposed secrets and credentials and reviewing security alerts. I also use it to remediate any findings that come up.
The majority of the time we are thinking about potential secret exposure across repositories and prioritizing the findings which need attention. GitGuardian Platform gives a good additional layer of security alongside our existing practices.
A specific example of a time when GitGuardian Platform helped me catch and fix an exposed secret is when developers hardcode API credentials while developing. There is always a chance that a developer makes a mistake and hardens an API credential in a repository. We are able to identify and remove the credentials, rotating them before they could be misused. This is a quick specific example we have encountered, and it is usual for anyone.
What is most valuable?
The best features GitGuardian Platform offers that stand out most for me are the secret key detections and real-time alerts. I also find the incident tracking and remediation workflow useful because it makes it easier to understand, identify, investigate, and address exposed credentials.
GitGuardian Platform has impacted my organization positively by allowing us to identify usually exposed credentials earlier, reducing the time spent on manually checking repositories where credentials have been exposed, and it also gives better visibility into the status of security findings and their remediation. GitGuardian Platform offers a more structured way, and we can quickly identify exposed secrets by this process, assign them to the right person, and track the remediation until it is resolved. It reduces the manual effort of coordinating and following up with the security findings.
What needs improvement?
One area of improvement for GitGuardian Platform would be reducing false positives and making some alerts easier to prioritize. A more streamlined interface for investigating and grouping related findings would also make the workflow faster.
Alert prioritization and better customization of alert notifications would help, especially for filtering low-priority findings. More detailed remediation guidance within the alerts would also make it easier for newer users to resolve issues quickly.
For how long have I used the solution?
I have been using GitGuardian Platform for around one year.
What do I think about the stability of the solution?
GitGuardian Platform has been generally stable for day-to-day monitoring and alerting. I have not faced any major reliability issues during regular use, although occasional alert delays can happen.
What do I think about the scalability of the solution?
GitGuardian Platform has good scalability from my experience. As the number of repositories and users increased, we have not had any major performance issues, and onboarding additional repositories has been relatively straightforward.
How are customer service and support?
I have limited direct interaction with GitGuardian Platform's support, but the responses we received were helpful and reasonably quick. Most of the issues are dealt with through documentation and internal processes, so we did not go to support directly.
Which solution did I use previously and why did I switch?
We have not used anything previously before GitGuardian Platform.
What was our ROI?
Regarding the return on investment, I do not have exact metrics, but in practice, it has reduced manual effort to check repositories and follow up on findings. The biggest improvement has been catching potential exposures earlier and shortening the remediation cycle.
What's my experience with pricing, setup cost, and licensing?
Regarding my experience with pricing, setup cost, and licensing, the pricing from the feedback seems to be reasonable for an enterprise security platform, though the overall cost depends on the number of users and repositories.
Which other solutions did I evaluate?
Before choosing GitGuardian Platform, we evaluated secret management and secret scanning tools, but I was not directly involved with that final selection, so I do not have a complete list or detailed comparison about that.
What other advice do I have?
My advice for others looking into using GitGuardian Platform is to clearly define your secret scanning and remediation workflow before implementing it. Also, make sure alerting and integrations are configured properly so the team can act on findings without creating too much noise.
Regarding GitGuardian Platform's AI capabilities, I think its governance and security are useful for improving detection and investigation. While governance and security controls are important for keeping the process controlled, from my experience, GitGuardian Platform provides a good foundation, though clearer visibility into AI decision-making and configuration would be helpful.
When it comes to the accuracy and reliability of output, from my experience, the AI-assisted detection is generally accurate and useful for identifying potential secrets and prioritizing findings. I would still validate important findings manually, especially when the context is ambiguous or there is a possibility of a false positive.
I would rate this review an eight out of ten.
Ayush M.
Easy to Use and One of the Best Options on the Market
Reviewed on Sep 16, 2026
Review provided by G2
What do you like best about the product?
It’s easy to use, and I think it’s one of the best options on the market.
What do you dislike about the product?
It can be overwhelming at first to navigate all those options.
What problems is the product solving and how is that benefiting you?
It keeps secrets to my Api keys and it inform me immediately if any leak happens
Rostyslav M.
Catching exposed secrets before they turn into pull request cleanup
Reviewed on Sep 08, 2026
Review provided by G2
What do you like best about the product?
Installing ggshield as a pre-commit hook has been one of the simplest changes we’ve made with the biggest payoff. When a secret-like value shows up, the commit gets blocked before anything is pushed, and the CLI clearly shows what triggered the detection. We also run it in CI, and the same tooling can be used with pre-receive hooks, which makes it easier to keep checks consistent across local development and the repository. Historical Scanning is just as important, because removing a key from the current version of a file doesn’t remove it from older commits. We use the repository integrations and dashboard to trace the incident, pinpoint where the secret first appeared, and organize remediation. In larger setups, Remediation Playbooks and integrations with Slack, Jira, and ServiceNow help turn an alert into an actual process, instead of just another notification people acknowledge and forget. Honeytokens are a different kind of signal that I also find useful. We can create decoy AWS credentials through ggshield and place them in controlled locations; if someone uses them, there’s very little ambiguity about whether that access was expected. I wouldn’t replace normal monitoring with honeytokens, but they’re helpful when you want to detect real interaction with information that should never be touched.
What do you dislike about the product?
The first few weeks can be a bit noisy. Fixtures, test tokens, examples, and random strings sometimes look enough like real credentials to trigger detections. It’s tempting to throw together a giant ignore file and move on, but that usually defeats the purpose of the tool. Instead, we start by reviewing the finding, confirm it’s actually harmless, and then document the exception. The tuning takes some effort—especially in older repositories—but I’d rather deal with that friction than train the team to automatically dismiss every secret alert.
What problems is the product solving and how is that benefiting you?
We really saw the value during a hotfix, when a developer temporarily dropped a full database connection string into a .json file for local testing and then forgot to remove it before committing. ggshield blocked the commit immediately and flagged the exact value. Because the credential had already been shared through our local branch workflow, we rotated it right away, removed the value before anything reached the remote repository, and updated the project so configuration always comes from our secret manager. After that, we ran a historical scan and found an older API key buried in a commit from months earlier. Our first assumption was that it didn’t matter anymore because it was no longer on main, but the key was still valid, so we rotated that one too. Overall, GitGuardian prevented a new exposure from reaching the remote, helped us uncover an older one that would otherwise have stayed invisible, and pushed us to fix the workflow itself rather than treating the incident as a one-time cleanup.
Anonymous
Effortless Security for GitHub Projects
Reviewed on Aug 25, 2026
Review provided by G2
What do you like best about the product?
I like GitGuardian because it's autonomous and easy to use. I don't have to log in to my GitGuardian account often since I receive notifications via email, which is comfortable for me. I appreciate that I can let it work in the background, and if something goes wrong, I get notified, with alerts even on my phone. The initial setup was quite straightforward as I connected directly with my GitHub account, making the process simple. Overall, it's comfortably good for my personal projects.
What do you dislike about the product?
Nothing, really
What problems is the product solving and how is that benefiting you?
I use GitGuardian to keep my secret keys or passwords safe when I push code. It's autonomous and easy to use, notifying me via email so I can address issues without logging into the account.
Mithu P.
Useful Security Tool That Catches What’s Easy to Miss
Reviewed on Aug 18, 2026
Review provided by G2
What do you like best about the product?
I like that GitGuardian catches things I might easily miss, especially exposed API keys or credentials. The alerts are pretty straightforward and make it clear what needs to be fixed. It feels like an extra safety net for the development process without getting in the way too much.
What do you dislike about the product?
The main thing I dislike is that some alerts can feel a bit noisy, especially when something is detected that isn’t really a serious risk. It sometimes takes extra time to figure out whether an alert actually needs action. I also feel the UI could make it easier to quickly understand the priority of an issue and what exactly I should do next. Overall it’s useful, but reducing unnecessary alerts and making the workflow a little simpler would make it better.
What problems is the product solving and how is that benefiting you?
GitGuardian helps us catch exposed secrets and credentials early, which saves a lot of manual checking and reduces the risk of security issues. Performance has been good overall, and it doesn’t slow down the development workflow too much. The integrations are also useful because we can connect it with the tools we already use. From a cost or ROI point of view, it is helpful because preventing one serious credential leak can save a lot of time and trouble later.The onboarding was fairly straightforward, although some areas could be explained better for new users. I also like the intelligence behind the alerts, but it could do a better job of reducing false positives and making it immediately clear which issues need the most attention.
Antonio Q.
Integrated and Effective in Leak Detection
Reviewed on Aug 16, 2026
Review provided by G2
What do you like best about the product?
I use GitGuardian as an automatic security 'checkpoint', which helps me prevent secrets from being accidentally shared. I like the fact that it integrates into the development flow without the need for new learning or additional steps. The tool detects secrets that should not have been committed, giving me time and peace of mind to regenerate secrets without worrying that someone might have accessed them. The initial setup was simple and easy, even though I know I can configure it better, I don't feel the need to do so at the moment.
What do you dislike about the product?
n/a
What problems is the product solving and how is that benefiting you?
GitGuardian acts as an automatic security checkpoint, detecting compromised secrets in real-time and providing peace of mind to regenerate them. It integrates easily into the development flow and helps monitor leaks, even with some false alarms.
Mir Shahzad Mubeen
Continuous secret monitoring has improved our code security and protected critical workflows
Reviewed on Aug 07, 2026
Review from a verified AWS customer
What is our primary use case?
GitGuardian Platform provides security through secret detection and broader code security. The main benefit is ensuring that secrets are properly managed across our organization.
Honeycomb has many repositories, multiple agents, multiple backends, numerous React frontends, AWS Lambda integrations, automations, third-party APIs, and multiple developers. To manage all of this, we maintain hundreds of secrets to ensure that developers do not commit environment files and that everything is properly secured. GitGuardian Platform scans every commit, branch, pull request, and the entire repository history, which informs us about security gaps and code issues. Because it continuously monitors our system rather than performing just one scan, when a developer pushes code, we receive alerts that are generated immediately. This continuous monitoring capability has made GitGuardian Platform our main solution.
What is most valuable?
GitGuardian Platform offers numerous integrations, including GitHub, GitLab, AWS, email, Jira, and Slack. The continuous monitoring system that watches for pushes as soon as developers commit code is also a valuable feature.
Integration with Slack and Jira allows developers to be notified immediately when a secret is detected, so they can revoke or rotate credentials before they are abused. Jira integration helps us track issues effectively through resolution by automatically creating tickets and assigning ownership.
GitGuardian Platform has provided accurate and reliable output for detecting common secrets and credentials. Most alerts provide sufficient context to investigate and remediate issues properly. From a security perspective, no exposed credentials are shared between branches. When credentials are shared, they are detected easily, and developer awareness around secret management has improved.
What needs improvement?
The automated checks encourage developers to remove or rotate exposed credentials before code is merged. GitGuardian Platform is working well for our organization, and I currently see no needs for improvements. However, deeper integrations with AI development workflows and services would be useful because security is a main concern with the use of AI agents.
I rate GitGuardian Platform a nine out of ten because there is a slight learning curve in integration, and I would have preferred integration with AI-native development workflows. With the increase of AI-focused workflows and incident prioritizations, AI agents need a security system that can flag security leaks. Apart from AI workflow considerations, the platform performs well.
For how long have I used the solution?
I have been using GitGuardian Platform for approximately two years.
What do I think about the stability of the solution?
GitGuardian Platform is stable.
What do I think about the scalability of the solution?
GitGuardian Platform demonstrates good scalability and is well suited for organizations managing multiple repositories and multiple developers with centralized monitoring.
Which solution did I use previously and why did I switch?
We have not used any solution before GitGuardian Platform.
How was the initial setup?
I was not directly involved in evaluating pricing, but the setup from a technical perspective was straightforward.
What was our ROI?
I do not have quantified ROI figures because our team has not tracked them separately. For us, the return is more about reducing security risks and avoiding costs than achieving a direct, measurable financial benefit.
What other advice do I have?
For others considering GitGuardian Platform, I recommend starting by connecting your most critical repositories and running a historical scan to identify any existing exposures. I also recommend integrating it with your pull request workflow and notification tools such as Slack or Jira, so any detected issues are addressed early. Establishing a clear process is crucial, and GitGuardian Platform delivers the most value when it is incorporated into the development workflow rather than used only for occasional scans. I rate this product a nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)