Listing Thumbnail

    GitGuardian: The credential layer security platform (non-US companies)

     Info
    Sold by: GitGuardian 
    Deployed on AWS
    GitGuardian helps companies close credential-based breach paths. It finds secrets wherever they live, prioritizes remediation based on rich context, and prevents new exposure across code, systems, and AI.
    4.8

    Overview

    Play video

    GitGuardian is the end-to-end secrets and Non-Human Identity (NHI) security platform. It detects exposed credentials across the software delivery lifecycle and governs the machine identities behind them, from a developer's laptop to AWS runtime.

    THE PLATFORM GitGuardian delivers three products on one platform.

    • Internal Secrets Monitoring detects hardcoded credentials in private repositories across GitHub, GitLab, Bitbucket, and Azure DevOps, plus CI/CD pipelines, container registries, Slack, Jira, Confluence, and cloud configuration. Internal repositories contain six times more secrets than public ones.
    • Public Secrets Monitoring scans 1B+ public commits a year, in real time. On top of credentials leaked in company-owned environment, it surfaces the 80% of corporate credentials that leak publicly from developers' personal accounts, which single-organization scanners cannot see.
    • GitGuardian NHI Governance discovers machine identities, attributes ownership, scores risk criticality, help configure rotation policies, and flags overdue rotations.

    WHY THIS MATTERS ON AWS In 2025, 28.6 million new secrets were exposed on public GitHub, up 34% year over year. NHIs now outnumber human employees by roughly 109 to 1 and grew 44% in a year. Developers using AI coding assistants leak secrets at about twice the baseline rate. A vault governs only the credentials that were registered in it. GitGuardian finds the ones that never were.

    BETTER TOGETHER WITH AWS

    • AWS Secrets Manager: the ggscout collector inventories secrets held in AWS Secrets Manager and matches them against exposures found in code, using the HasMySecretLeaked (HMSL) hashing protocol so credential values never leave your AWS account. Surfaces vaulted secrets that have leaked into code, duplicate credentials across multi-account architectures, and credentials past their configured rotation policy.
    • AWS IAM: GitGuardian reads the permissions and policies attached to each discovered credential, so an exposed key is scored by what it can actually reach across Amazon EC2, Amazon EKS, and AWS Lambda rather than by generic severity.
    • Amazon Kiro: GitGuardian Power for Amazon Kiro runs secrets scanning inside the AWS agentic IDE, catching credentials in AI-generated code before they are committed.
    • CI/CD: native integration with GitHub Actions, GitLab CI, and Kubernetes clusters to discover NHIs where they are consumed.

    USE CASES

    1. Stop credential leaks in AI-assisted development. GitGuardian scans AI-generated code inside Amazon Kiro and at pull request, before a secret reaches a repository. AI-service credential leaks rose 81% in 2025.
    2. Build an audit-ready NHI inventory. GitGuardian discovers service accounts, API keys, and AI agent credentials across AWS Secrets Manager, AWS IAM, and CI/CD, attributes an owner to each, and surfaces evidence for PCI-DSS v4.0, NYDFS Part 500, DORA, NIS 2, and NIST 800-53 IA-5.
    3. Respond to a credential exposure. GitGuardian traces an exposed secret to its owner, its permissions, and every place it is duplicated, then tracks remediation to closure. Customers report over 80% reduction in mean time to remediate.
    4. Find the credentials your vault never saw. AWS Secrets Manager governs what was registered in it. GitGuardian discovers the hardcoded keys in Terraform, the tokens in CI/CD logs, and the credentials in Slack that never were. Around 62% of cloud NHIs are inactive but retain full access.
    5. Monitor public exposure in real time. GitGuardian scans every public GitHub commit and feeds your SOC through existing SIEM and SOAR workflows.

    PROOF GitGuardian ships 500+ purpose-built detectors, with a false positive rate under 10%. ggshield is deployed on 600,000+ developer machines and is the most-installed security app on the GitHub Marketplace. Trusted by Snowflake, ING, BASF, Datadog, and Bouygues Telecom.

    Deployed on AWS. Available through AWS Marketplace private offers and channel partner private offers.

    Highlights

    • 1. Detect every credential exposure: 600+ detectors with live validity checks scan code, CI/CD pipelines, collaboration tools, developer machines, and AI agent surfaces like Claude Code, Codex, Kiro, Cursor, and Copilot. Scans every public GitHub commit in real time and alerts your SOC through existing SIEM and SOAR workflows. Developers' personal accounts are the source of 80% of corporate credentials that leak publicly.
    • 2. Remediate at enterprise scale: ML-powered incident grouping and severity-aware triage and help close incidents fast. Secrets found in code are correlated with the credentials held in AWS Secrets Manager and the permissions attached in AWS IAM, so teams separate a vaulted credential from a leaked one and score exposure by what the key can actually reach across.
    • 3. Prevent the next breach: discover and govern every machine identity behind every credential, and catch attackers the moment they use a decoy credential. Trusted by 600K+ developers and enterprises, including Snowflake, ING, BASF, Datadog, Euronext, and Bouygues Telecom.

    Details

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Trust center

    Trust center
    Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.

    Buyer guide

    Gain valuable insights from real users who purchased this product, powered by PeerSpot.
    Buyer guide

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    GitGuardian: The credential layer security platform (non-US companies)

     Info
    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

     Info
    Dimension
    Description
    Cost/12 months
    25 developers
    Business Plan, per 25 contributing developers (annual contract)
    $5,500.00

    AI Insights

     Info

    Dimensions summary

    This listing offers one pricing dimension: the Business Plan, billed per 25 contributing developers under an annual contract. Your cost scales with the size of your development team. You buy coverage in blocks of 25 developers, so a larger team adds more units. A developer counts as an active contributor who made at least one commit in the last 90 days. If you need several hundred licenses, you can request a private offer from the vendor.

    Top-of-mind questions for buyers

    A developer is any active contributor to a project you secure who made at least one commit in the last 90 days. You buy coverage in blocks of 25 such developers. To get a count, reach out to the vendor, which identifies active contributors based on recent commit history.
    You buy coverage in units of 25 contributing developers. If your active contributor count passes a block boundary, you add another unit of 25 to cover the extra developers. The annual contract scales in these fixed increments rather than per single developer.
    The per-25-developer unit covers contributing developers across code, CI/CD, and container monitoring. Developer endpoint protection for individual machines is priced separately, per endpoint per year, and is not part of this developer-seat unit. Contact the vendor for an endpoint count and quote.
    www.gitguardian.com
    Helpful?

    Vendor refund policy

    Please contact sales@gitguardian.com  to learn more about GitGuardian's refund policy.

    Custom pricing options

    Request a private offer to receive a custom quote.

    How can we make this page better?

    Tell us how we can improve this page, or report an issue with this product.
    Tell us how we can improve this page, or report an issue with this product.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Explore our guides to use the GitGuardian Platform https://docs.gitguardian.com  or submit a support request at

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

     Info
    Updated weekly

    Accolades

     Info
    Top
    100
    In Monitoring
    Top
    100
    In Application Development

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    1 reviews
    Insufficient data
    Insufficient data
    Insufficient data
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Secrets Detection Across Multiple Sources
    Detects hardcoded credentials in private repositories across GitHub, GitLab, Bitbucket, and Azure DevOps, plus CI/CD pipelines, container registries, Slack, Jira, Confluence, and cloud configuration with 600+ purpose-built detectors.
    Public Secrets Monitoring
    Scans over 1 billion public commits annually in real time to surface corporate credentials leaked from developers' personal accounts and company-owned environments.
    Non-Human Identity Governance
    Discovers machine identities, attributes ownership, scores risk criticality, configures rotation policies, and flags overdue rotations across AWS Secrets Manager, AWS IAM, and CI/CD systems.
    AWS Integration and Context-Based Scoring
    Correlates exposed credentials with AWS Secrets Manager vaults and AWS IAM permissions to score exposure severity based on actual accessible resources across Amazon EC2, Amazon EKS, and AWS Lambda.
    AI-Generated Code Security
    Scans AI-generated code inside Amazon Kiro and at pull request stage to catch credentials before commit, with detection across Claude Code, Codex, Cursor, and Copilot surfaces.
    Centralized Secrets Management
    Centrally secures, rotates, and manages secrets across multi-cloud and hybrid environments with a unified view across multiple AWS accounts and AWS Secrets Manager instances.
    Multi-Platform Integration
    Offers REST APIs and integrates with a wide range of DevOps tools, container platforms, vulnerability scanners, RPA, and automation tools for credential delivery.
    Secrets Rotation and Lifecycle Management
    Automatically rotates secrets in AWS Secrets Manager and across cloud environments without requiring changes to developer workflows or applications.
    Audit and Access Control
    Provides centralized control and comprehensive auditing of how applications, DevOps tools, and automation platforms use secrets and privileged credentials to access sensitive resources.
    Enterprise-Scale Architecture
    Designed to support massive scalability with data sovereignty requirements for large global enterprises across multi-cloud and hybrid infrastructure.
    Secrets Management and Orchestration
    Centralized platform for syncing, managing, orchestrating, and rotating secrets automatically across projects, teams, and environments
    Credential Rotation
    Automated credential rotation capabilities without downtime to actively safeguard secrets from data breaches
    Multi-Environment Integration
    Automatic synchronization and deployment of secrets across all environments and infrastructure through expanding suite of integrations
    Developer Tools and IDE Integration
    VS Code extension for editing secrets alongside code with bidirectional sync, and Doppler CLI for consuming secrets as environment variables
    Access Control and Compliance
    Scalable and flexible access controls with detailed activity logs for real-time access management, compliance tracking, and configurable alerts through Slack, Teams, Splunk, or Discord

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    4.8
    332 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    88%
    11%
    1%
    0%
    0%
    6 AWS reviews
    |
    326 external reviews
    External reviews are from G2  and PeerSpot .
    KUNAL S.

    Reliable Secret Detection, Though Filtering Needs Finesse

    Reviewed on Nov 06, 2026
    Review provided by G2
    What do you like best about the product?
    I use GitGuardian to identify and prevent exposed secrets, API keys, credentials, and sensitive information in code repositories. I appreciate its automated secret detection, real-time alerts, and seamless integration with development workflows. It makes security monitoring easier, helps detect potential vulnerabilities early, and reduces the risk of accidental credential leaks. I find it very reliable for strengthening code security, and it’s easy to use and serves my purpose well.
    What do you dislike about the product?
    I had to use a tutorial to get set up. I also find filtering and false positives could be better, and I’d like more granular options to filter alerts by repository, secret type, severity, environment, and detection confidence.
    What problems is the product solving and how is that benefiting you?
    I use GitGuardian to identify and prevent exposed secrets, API keys, credentials, and sensitive information in code repositories. Automated detection and real-time alerts help me catch potential vulnerabilities early, reduce accidental credential leaks, and make security monitoring easier so we can focus on building applications while maintaining better security.
    Meeti D.

    Fast, Reliable Secret Detection That Fits Seamlessly into Our GitHub Workflow

    Reviewed on Oct 18, 2026
    Review provided by G2
    What do you like best about the product?
    The aspect of GitGuardian that I appreciate the most is its ability to spot exposed API keys, passwords, and other secrets before they evolve into security risks. Alerts are generated fast and come with valuable information concerning the location of the problem, making it easier to handle. I like the fact that it supports integration with GitHub and works within the framework of the usual development process without adding any unnecessary steps. Setup is relatively simple, while the automated scanning is particularly helpful when dealing with several projects at once.
    What do you dislike about the product?
    One area that could be improved is the dashboard, as some parts can feel confusing, especially for users who are trying the tool for the first time. False positives can also be frustrating, since you often have to manually verify whether the flagged value is actually sensitive. In addition, setting up and managing alerts could be more user-friendly, ideally with smarter filtering to reduce unnecessary distractions. Finally, the cost may become a concern for smaller groups that need access to the more advanced functions.
    What problems is the product solving and how is that benefiting you?
    GitGuardian resolves one of the most frequent issues with the accidental exposure of API keys, access tokens, passwords, and other types of secrets in the Git repositories. This may occur in the course of a normal development process, especially when dealing with environment variables, test credentials, and multiple integrations. With its ability to scan for any possible secrets and alert about their presence, it allows developers to detect vulnerabilities before releasing their code. The integration functionality makes it easier to use secret detection in the current development process.
    Disha L.

    Fast, Detailed Secret Detection That Fits Seamlessly into GitHub Workflows

    Reviewed on Oct 18, 2026
    Review provided by G2
    What do you like best about the product?
    What I like most about GitGuardian is that it helps catch exposed API keys, passwords, and other secrets before they turn into bigger security issues. The alerts come quickly and include helpful details about where the problem was found, which makes it much easier to track down and fix. I also appreciate that it integrates with GitHub and fits into a normal development workflow without creating a lot of extra overhead. Setup is fairly straightforward, and the automated detection is especially valuable when you’re working across multiple projects. Overall, it adds an extra layer of security without making day-to-day coding feel unnecessarily complicated.
    What do you dislike about the product?
    One area that could be improved is the dashboard. Some sections and settings take a bit of time to understand, especially for someone using the tool for the first time. False positives can also be frustrating, since you have to manually verify whether a detected value is actually sensitive. The initial configuration and alert management could be more intuitive as well, with smarter filtering to cut down on unnecessary notifications. Pricing may also become a concern for smaller teams that need advanced features. Overall, better onboarding, clearer navigation, and more intelligent alert prioritisation would make the experience even better.
    What problems is the product solving and how is that benefiting you?
    GitGuardian helps address a common issue in software development: accidentally exposing API keys, access tokens, passwords, and other sensitive information in Git repositories. These slip-ups can happen during everyday work, especially when dealing with environment variables, temporary testing credentials, or multiple integrations. By automatically scanning repositories for potential secrets and sending alerts when something suspicious is found, it enables developers to catch problems earlier rather than only noticing them after code has already been shared. Its integrations also make it easier to add secret detection into an existing development workflow. Overall, this can reduce the need for manual checks, speed up remediation, and lower the risk of security incidents, making it a practical addition to a development team’s security process.
    reviewer777

    Continuous secret scanning has protected our code history and strengthened secure development habits

    Reviewed on Oct 16, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for GitGuardian Platform is for secret detection in the code base, whether in the actual files or in the history of the GitHub code, helping me determine if there are, or were at any point, hard-coded secrets like API keys, passwords, or certificate key stores, and whether they are valid or false positives that require immediate remediation or remediation later on.

    There was a specific time when GitGuardian Platform helped me catch something important, as it detected a couple of secrets that were still used in a project that had been migrated. We discovered in the history that while the current files contained no hard-coded secrets—everything had transitioned to using Secrets Manager—GitGuardian Platform identified two valid secrets in the GitHub history that needed to be deleted, although they were not critical or dangerous. To be on the safe side, we changed those secrets after ensuring they were properly removed from the history.

    I have nothing else to add about my main use case or how I use GitGuardian Platform day-to-day. It is nice how it automatically scans whenever there is a commit in the GitHub repository, and even when a commit is deleted, the ID of the commit remains visible but grayed out, as it doesn't exist anymore. I would mention the validity check for public API keys is very useful while monitoring the security score. One limitation I've found is that as the tool progresses and updates, it may detect older secrets that have already been resolved, so it would be helpful to get notified when that occurs. Another significant limitation we've encountered is when the same secret is present in multiple repositories managed by different teams; we cannot close the incident unless both teams communicate and agree, because closing is applicable to all repositories, which is challenging when teams don't know each other.

    How has it helped my organization?

    GitGuardian Platform has positively impacted my organization by making the team extra careful about committing hard-coded passwords, even if they are just for testing purposes and deemed invalid. Additionally, my team has started integrating GitGuardian Platform on their local VS Code to scan before pushing code. It has also encouraged the habit of rotating old secrets that were at one point flagged in the tool.

    I haven't noticed a reduction in security incidents, as we don't have many because we prioritize security in our development cycle. However, I can say that GitGuardian Platform helped us clean up our GitHub repositories of any type of secrets, even the useless ones, ensuring that if someone were to gain access, they wouldn't know what our API key or password looks like. It has especially helped us eliminate valid secrets from our repository histories, and we currently have zero valid secrets left.

    What is most valuable?

    The best features GitGuardian Platform offers include secret detection regardless of the commit history, which means it can detect both current and older files. Its ability to check the validity of API keys is crucial, and it allows tracing of actions regarding secrets—whether they are marked as false positives, invalid, or if remediation is necessary. Additionally, it facilitates the use of tools such as Slack or Teams for notifications.

    I find myself relying the most on the instant scan of passwords offered by GitGuardian Platform, as it accurately checks for real secrets and does not mistake common words such as 'password' as a secret. This is advantageous compared to other tools that increase the rate of false positives significantly, which often occurs with keys that are merely for testing or are invalid.

    What needs improvement?

    Regarding improvements for GitGuardian Platform, the secret detection feature needs upgrading as it opens only one common issue for the same secret detected in multiple repositories. This poses a challenge, especially if two teams in different repositories, who don't know each other, are working with the same hard-coded secret. Team A cannot close the ticket independently because they are unaware of how Team B is using that secret. It would be much more effective to have a parent ticket for the secret that contains child tickets for each repository, allowing each team to manage their status for that secret as they see fit.

    The reason I chose a nine or nine and a half is due to the pain points I've mentioned, particularly the challenges when validating secrets. Additionally, I prefer being notified whenever a new secret is detected in the GitHub history.

    For how long have I used the solution?

    I have been using GitGuardian Platform for almost two years.

    What do I think about the stability of the solution?

    GitGuardian Platform is very stable, with no downtime or issues in my experience.

    What do I think about the scalability of the solution?

    The scalability of GitGuardian Platform has met my organization's needs as we have grown or changed, and I did not notice any difference.

    Which solution did I use previously and why did I switch?

    Previously, we used the password detection feature in Checkmarx, but we switched because we found it unreliable. Checkmarx often flagged many false positives, sometimes misidentifying the word 'password' as a real password or mistaking names of secrets in Secrets Manager or Key Vault for secret values. Their lack of capability to detect hard-coded passwords in the GitHub history was another issue compared to what GitGuardian Platform offers.

    What was our ROI?

    I have seen a return on investment, particularly in securing the applications and ensuring there are no hard-coded secrets within the code base, which is a significant security positive.

    What other advice do I have?

    I haven't had the chance to thoroughly explore GitGuardian Platform's AI capabilities, so I'm not sure how I can answer that. Regarding my experience with the accuracy and reliability of GitGuardian Platform's AI capabilities, prior to their implementation, I found them to be helpful, especially in deciding the severity of a password when evaluating its risk from someone outside the application. My advice for others considering GitGuardian Platform is to move forward with it, as it's a great tool. I would rate GitGuardian Platform overall at nine, or nine and a half.

    Hrithik G.

    Great Project Feedback and Strong Secret Key Protection

    Reviewed on Oct 15, 2026
    Review provided by G2
    What do you like best about the product?
    It gives me feedback about my project, safeguard my project from leaking me env and secret keys, time to time notifications
    What do you dislike about the product?
    UI could have been better. It could be user friendly.
    What problems is the product solving and how is that benefiting you?
    So it saved my api keys from getting leaked in my last project. Before that, i mistakenly pushed my api keys with script, and that key was later revoked
    View all reviews