Check out how the GitGuardian Platform compares to GitLab Secret Detection, which is based on an open-source secrets scanner.
The main difference was that with Gitleaks, you don't have the interface for incident management. It's really just detection. GitGuardian was the whole environment that we really needed to work at scale.
Melvin Mohadeb, Security Engineer at Payfit
While choosing a single vendor like GitHub Advanced Security may be convenient, it limits your ability to choose specialized vendors with more extensive coverage in specific security disciplines, such as GitGuardian for secrets scanning.
Cursor, Claude Code, Copilot. They write credentials into history files, transcripts, and configs you'll never check. ggshield finds existing ones. AI agent hooks stop new ones.
Secrets in .env, history files, and AI agent caches never hit a repo. Your pipeline scanners never see them. GitGuardian does.
A machine is compromised. GitGuardian surfaces every credential on it, ranked by severity. You know what was stolen and what to revoke first.
Regular expressions to match known, distinct patterns
550+ types of specific and generic secrets supported with high accuracy level.
515 total provider patterns including 7 generic detectors, plus custom patterns.
Regular expressions result in fewer false alerts. Additionally, known patterns make it simpler to verify if the secret is true or false or whether this is a test or example key.
Learn more about how GitGuardian detects secrets.
The space is evolving quickly, and we do our best to keep information on our competitors up to date. If you see any outdated information, contact us and we will immediately set the record straight!
Users rate GitGuardian high on these categories on review sites like PeerSpot, G2, and Capterra.
Ease of Use • 4.6 stars
Customer Service • 4.6 stars
Value for Money • 4.6 stars
Ease of Use • 9.1
Quality of Support • 9.2
Ease of setup • 9.5
Ease of Use • 9.1
Quality of Support • 9.2
Ease of setup • 9.5
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✅ %ndet%+ types of specific and generic secrets supported with high accuracy level.
✅ Checks the validity of %nvck%+ types of exposed secrets.
✅ 300+ secret types via GitLab's own detection engine
✅ Validity checks.
Regular expressions result in fewer false alerts. Additionally, known patterns make it simpler to verify if the secret is true or false or whether this is a test or example key.
++ Yes, based on the combination of entropy checks and contextual analysis of the presumed secret (pre/post-filters).
++ GitGuardian currently supports %ngdet%+ types of generic secrets.
✅Supported. Very limited generic prefixes for API keys “API-”.
❌No contextual analysis (= false-positive prone).
In order to capture a considerably wider variety of secret types, high entropy should be employed.
++ Yes, supported with the use of regular expressions (in SaaS/Self-hosted versions).
✅ Yes, through GitLeaks customizable rulesets.
🟠 Only available with the GitLab Ultimate plan.
To find company-specific secrets that are not picked up by the default patterns, you should be able to define your own patterns.
++ Detectors can be individually activated/deactivated from the UI, in the workspace settings.
❌ Detectors cannot be deactivated from the CLI using options/command flags.
We recommend keeping all detectors active to avoid missing any hardcoded secrets.
++ 22 file names raise policy break alerts.
❌ No sensitive file names are detected.
There is a very lengthy list of extensions that potentially hold secrets due to the numerous programming languages, frameworks, and coding standards that are used globally.
++ 14 extensions raise policy break alerts.
❌ No sensitive file extensions are detected.
Secrets are frequently discovered in file extensions together with environment variables and configuration data. Learn more.
++ Yes, excluding paths is possible through the UI. GitGuardian recommends a set of exclusions (e.g. test directories) and enables users to test filepaths against the active exclusion list.
✅ Yes, excluding paths like test directories is possible through the CLI command flags/options.
The ability to reduce the number of incidents and concentrate solely on those that matter most is critical to scaling your secrets detection and remediation program.
++ Secrets scanning is possible for local Git repositories or repositories managed through GitHub, GitHub Enterprise, GitLab, Azure DevOps, and Bitbucket Server/Data Center.
✅Yes, limited to GitLab.
Your repositories contain secrets and sensitive data, such as user passwords or other security flaws, making it possible for anybody with access to the image to obtain that secret and perhaps exploit it to gain access to other systems.
++ Yes, Docker images can be scanned with the GitGuardian CLI, ggshield, using a specific command. The Dockerfile, build arguments, and the image's layers' filesystem are scanned for secrets.
❌ Not supported.
Your Docker image can wind up containing a private SSH key, an AWS access token, or a password.
🟠 The GitGuardian REST API and CLI, ggshield, support scanning all types of text input for secrets. GitGuardian can provide wrappers (code snippets) to extract and load data from observability tools or CI/CD logs.
❌ Not supported natively.
Sensitive data may unintentionally leak from your server logs when services unintentionally output sensitive data.
++ Yes, we are currently supporting the scan of %external sources scanned for secrets%.
❌ Not supported.
Sensitive data may unintentionally be leaked in other productivity tools used by developers.
++ Yes
❌ Not supported.
++ Yes, native GitHub App at the organization level (one-click integration).
❌ Not supported.
++ Yes, upon integration of a GitHub Enterprise organization, admins can choose to - give access to select repositories - provide access to all repositories (present and future repositories).
❌ Not supported.
++ Yes, native GitHub App available. Admins can:
- give access to select repositories
- give access to all repositories (present and future repositories).
❌ Not supported.
++ Yes, a native integration is available. GitGuardian needs a Personal Access Token with an Admin scope.
✅ Yes.
++ Yes, a native integration is available. GitGuardian needs a Personal Access Token with an Admin scope to establish a webhook with the VCS for historical and real-time scanning.
✅ Yes.
++ Yes, a native integration is available. GitGuardian needs a Personal Access Token with an Admin scope to set up a webhook with the VCS for historical and real-time scanning.
❌ Not supported.
++ Yes, a native integration is available. GitGuardian needs a Personal Access Token with an Admin scope to set up a webhook with the VCS for historical and real-time scanning.
❌ Not supported.
++ Yes, a native integration is available. GitGuardian needs a Personal Access Token with an Admin scope to set up a webhook with the VCS.
❌ Not supported.
++ Yes, a native integration is available. GitGuardian needs a Personal Access Token with an Admin scope to set up a webhook with the VCS.
❌ Not supported.
++ Regularly scheduled scanning of developer workstations via ggshield — covering .env files, cloud credential stores (~/.aws, ~/.gcp), AI agent and MCP configs, shell history, and application logs. Deployed via MDM (Intune, Jamf). Findings feed directly into the GitGuardian incident workflow, NHI identity map, and SIEM/SOAR. Honeytokens can be deployed on workstations to detect live credential theft in real time.
Secret detection runs on GitLab repository content and CI pipelines. No endpoint or local machine scanning capability.
Developer machines are the most overlooked credential exposure layer. Secrets in .env files, cloud credential stores, and AI agent configs never reach your repos or CI — they're invisible to commit-time scanning. Developer Endpoint protection closes that gap.
++ Centralised NHI inventory covering service accounts, OAuth apps, API keys, CI/CD tokens, and AI agent credentials across 8 secrets managers, 2 cloud IAM systems (with overprivilege detection for AWS IAM and Azure Entra ID), 2 identity providers, and 7 SaaS platforms. Includes policy checks for leaked, cross-environment, reused, long-lived, and overprivileged identities, with one-click revocation from the incident view.
Credentials Inventory provides a centralised view of PATs, group/project tokens, SSH keys, and service account tokens with revocation UI (Ultimate tier). Service accounts support token rotation. Scoped to GitLab-native identities only - no cross-platform NHI coverage.
Service accounts, API keys, and machine credentials now outnumber human identities — and most security tools ignore them. They sprawl across cloud environments, CI/CD pipelines, and SaaS platforms with no owner, no expiry, and no visibility. That's your largest unmonitored attack surface.
++ Yes, full repository history scan can be launched on-demand. Scanning is performed across all branches and for the entire history up to the initial commit.
✅ Yes, can be configured to run as a job within your GitLab pipelines.
Hardcoded secrets can hide deep in the commit history across various branches, not only the latest revision of the code.
++ Yes, supported through the GitGuardian CLI, ggshield.
✅ Supported via customization.
Pre-commit hooks put the onus on developers to keep their code free from secrets before contributing to the team’s codebase. The cost of remediation at this stage is low. Learn how to set up a pre-commit hook with GitGuardian.
++ Yes, supported through the GitGuardian CLI, ggshield.
✅ Supported via customization.
Pre-push hooks put the onus on developers to keep their code free from secrets before contributing to the team’s codebase.
++ Yes, supported through the GitGuardian CLI, ggshield.
In addition, a 'break-glass' option is provided to avoid blocking developer workflow in case test credentials or false positives are raised.
✅ Native secret push protection (GA in GitLab 17.x) blocks commits containing secrets.
Pre-receive hooks are the most effective tool to prevent secrets from reaching your codebase.
✅ Yes, supported with the native VCS integrations (GitHub, GitLab, Bitbucket and Azure DevOps). Historical and continuous protection.
✅Yes, but checks can only be included in your GitLab pipelines.
++ Yes, the GitGuardian CLI, ggshield, runs natively with 8 different providers in total: GitHub Actions, GitLab CI/CD, Bitbucket pipelines, Azure pipelines, Jenkins CI, CircleCI, Drone CI, and Travis CI.
🟠 Limited to GitLab pipelines.
It is important to raise awareness around the problem of hardcoded secrets and align Dev, Sec, and Ops with Automated Security Testing (AST) in pipelines.
Learn how to use GitGuardian's Internal Secrets Monitoring in your CI workflows.
++ In GitHub, secrets scanning check runs can be triggered on pull requests on repositories monitored by GitGuardian. The behavior can be configured to block merging PRs containing secrets.
❌ Not supported.
Pull request or merge request scanning brings secrets detection to environments developers are familiar with, such as the GitHub or GitLab UI.
++ Unified view of incidents across all monitored sources found via the native VCS integrations.
✅ Results can be displayed in your GitLab Security Dashboard (see here).
✅ JSON reports for all vulnerabilities are also available.
🟠 Only available with the GitLab Ultimate plan.
It facilitates the collection of relevant data for big-picture analysis.
++ Rich UI/centralized dashboard for Security and Incident Response teams.
✅ Results can be displayed in your GitLab Security Dashboard (see here).
🟠 Only available with the GitLab Ultimate plan.
To accurately assess the code security posture of an enterprise, security professionals require visibility across complex, sprawling environments.
++ Developers can get access to incidents via the GitGuardian UI, with a scoped view on incidents shared with them.
++ An external page can be generated for the developers to view individual incident details, fill out a feedback form and possibly remediate the incident on their own with our advice.
✅ Developers can view pipelines’ security tab and reports in the merge request widget.
🟠 Only available with the GitLab Ultimate plan.
Developers can view and handle their incidents most effectively with the help of intuitive dashboards.
✅ In addition to data such as the commit sha, date, author, secrets type, location (repository, file name, line) and validity, GitGuardian provides contextual tags such as "from a historical scan", "sensitive file", "test file", "exposed publicly", "leaked publicly", "regression", "default branch", etc.
❌ Not supported.
Incident data helps you in prioritizing and investigating incidents better by giving additional context.
++ GitGuardian scores the severity of incidents: "Low", "Medium", "High" or "Critical" following default rules or user-defined rules.
❌ Not supported.
Severity scoring will assist in identifying and prioritizing issues for quicker resolution.
++ For certain secrets, GitGuardian can perform non-intrusive checks to verify their validity. When revoked, secrets will be marked as no longer valid, effectively providing proof of remediation.
++ GitGuardian can also verify the presence of the secrets in the commits and provide proof of deletion after all evidence of the secret is removed.
🟠 Can only check that exposed secrets are no longer found in the latest pipeline scan of the default branch. Does not support validity checks.
Users should be able to check the validity of each incident and determine whether the leaked secret is still present or has been entirely erased from the commit history. Learn how to verify if an exposed secret was removed from the commit history.
++ GitGuardian groups all occurrences of the same secret leak across files, repositories, and organizations.
✅ It can group similar incidents together based on certain criteria such as the type of secret or the location in the codebase.
You can lessen alert fatigue. There is no need to triage/resolve each and every occurrence separately.
++ Incident handling with "Triggered", "Assigned", "Resolved" and "Ignored" statuses. Two outcomes are possible: incidents can be resolved or ignored.
❌ Not available.
This will assist organizations in swiftly identifying incidents and mitigating their negative impact.
++ Incidents can be assigned to a team member (a security engineer or a developer) to handle the incident.
❌ Not available.
Defining incident assignees makes sure that the incident gets a timely and appropriate response.
++ Default remediation guidelines and recommendations are displayed in the UI. The guidelines can also be customized.
✅ It can provide guidance on how to remediate detected incidents, such as suggesting specific code changes or offering best practices for secure credential management.
You have some remediation guidelines by default. But as each organization has its own context and remediation policies, you will have the ability to customize the remediation guidelines.
++ Incident remediation playbooks like sharing incidents with involved developers, collecting feedback, and closing incidents when they are re-checked as invalid can be automated.
❌ Not available.
The time savings, particularly at the enterprise scale, can be significant. Playbooks keep your teams productive and focused!
Learn more about how to prioritize, investigate and remediate hardcoded secrets incidents at scale.
++ A detailed timeline is provided with an extensive activity log of all performed events (status changes, feedback notes, access sharing, and much more).
❌ Not available.
Timelines help security teams keep track of all of the actions performed on the incident.
++ Developers can get access to incidents via:
• GitGuardian workspace, scoped view on incidents shared with them;
• A link to an external page can be generated for the developers to view individual incident details, fill a feedback form and possibly remediate the incident on their own.
🟠 Limited collaboration possibilities.
Because developers are key to taming secrets sprawl, AppSec teams must provide them with instant access to and ownership of their hardcoded secrets incidents.
Learn how to bring Dev, Sec, and Ops together for tackling secret sprawl.
++ Yes. When ignoring incidents, it is possible to flag findings as false positives, low-risk credentials, or test credentials.
✅ Yes.
Pull request or merge request scanning brings secrets detection to environments developers are familiar with, such as the GitHub or GitLab UI.
++ New occurrences of a resolved incident can be configured to re-open the incident and trigger new alerts or deliver silent notifications.
❌ Not available.
If new secrets were added or rotated secrets broke existing app functionality, you need to reopen the incident.
++ Yes
✅ Yes, can be configured to trigger alerts in real-time.
Serious incidents are immediately identified. Alerts may be directed to the right developers more rapidly for remediation.
++ Yes, to prevent alert fatigue, only one email is sent for multiple occurrences of the same incident.
✅ Yes, but only at the developer level for failed pipelines.
The problem of secret leaks has developers at the forefront. It is crucial to notify the developer in charge of the incident via their commit email.
++ Yes
✅ Native Jira integration available; supports JSON log streaming to Splunk/Elastic.
Teams, processes, and tools should be integrated to increase efficiency and effectiveness for all users by ensuring that alerts are received at the appropriate time and location and that no alert is missed.
++ Yes
🟠 Yes, but only through custom webhooks.
By integrating your code security platform and ticketing/messaging tool, you can address critical incidents and expedite remediation.
++ Yes
Stay in the know with event-driven alerts when new incidents are raised or when actions are performed on open incidents.
++ Yes, enriched analytics to assess security posture over time and remediation performance.
🟠 Limited, through the security dashboard.
🟠 Only available with the GitLab Ultimate plan.
Analytics help you assess security posture over time, and remediation performance.
++ All data is exportable in .csv (including historical incidents) or in JSON format using the REST API.
✅Yes, in JSON format.
Your Dev can review the incident data and filter it further based on their needs.
++ SaaS & On-premises (self-hosted)
✅ SaaS & On-premises.
SaaS is less expensive and easier to scale, while on-premises offers more visibility.
See how an enterprise customer deployed a secrets detection program.
++ Yes, fully compatible with any SAML 2.0 provider.
✅ Yes.
Because users only log in once per day and utilize a single set of credentials, it decreases the number of attack surfaces.
++ Yes, the available roles "Workspace Owner", "Manager" (admin), "Member" and "Restricted" are designed for fine-grained access control down to the occurrence level. Teams management available.
🟠 Platform-level RBAC controls access to security findings; dedicated security roles require Ultimate plan.
It's a wonderful approach to bring in every developer, scale up incident remediation, and deal with orphan incidents.
++ Detailed activity logs of all actions triggered on the dashboard or through the REST API.
🟠 Available on Premium and Ultimate via Audit Events API.
Audit logs include precise historical data that can be used to retrace an incident's timeline.
++ GitGuardian’s public REST API can be used to realize all sorts of actions on your workspace and incidents (retrieve, assign, update status, and share secrets incidents, and more).
🟠 Vulnerability Findings REST API exists but is deprecated (Ultimate); GraphQL API is the recommended replacement.
This API provides you with access to all of the incident data, including tasks.
++ A dedicated team of Solutions and DevOps Engineers will be made available to help you rollout secrets detection and remediation for your organization (included in the licensing model, at no additional cost).
❌ Not available.
In order to use a product effectively, a solid onboarding program aids in your ability to comprehend and experience the value it offers.
It is always advantageous to have support professionals who are completely committed to fixing any technical issues you may encounter.