The perfect pair for complete protection

Prevent secret exposures by proactively blocking secrets before they reach your code.

Detect and manage exposed secrets across git history, pull requests, issues, and wikis.

GitHub collaborates with 150+ technical partners, like AWS, Azure, and OpenAI, to build high accuracy secret detectors. This minimizes false positives, letting you focus on what matters.

Providers get real-time alerts when their tokens appear in public code, allowing them to quickly quarantine or revoke secrets.

Prioritize active secrets with validity checks for provider patterns.

Prioritize secrets based on additional information about the secret, like the secret owner's contact information or when the secret was last used.

Use AI to detect unstructured secrets, like passwords, across your repositories.

Preview. Use AI to block unstructured secrets at push before they reach your repository. Uses AI Credits. 

Detect tokens from unknown providers, including HTTP authentication headers, connection strings, and private keys.

Define secret detectors specific to your enterprise, and configure organization-defined detectors in push protection.

Manage alert dismissals. Approve or reject alert dismissal requests from developers.

Manage who can bypass push protection and when. Approve or reject bypass requests from developers. 

Understand how risk is distributed across your organization with security metrics and insight dashboards.

Review how and when GitHub scans your repositories for secrets.

Detect credentials leaked by your enterprise members across arbitrary public GitHub surfaces in real time, even if you don't own those surfaces.

Uncover vulnerabilities in your code with our industry-leading semantic code analysis.

Find vulnerabilities in pull requests for languages and frameworks CodeQL doesn't cover. Uses AI Credits.

Preview. Scan whole repositories on demand, in any language, and track findings as code scanning alerts. Uses AI Credits.

Preview. Find risks unique to AI apps and agents, like indirect prompt injection, in pull requests. Uses AI Credits.

Get suggested fixes, with explanations, for CodeQL alerts in pull requests and your backlog.

Get pull requests, not just suggestions: assign up to 25 code scanning alerts, and Copilot explores your code and makes the changes. Uses AI Credits.

Centralize your findings across all your scanning tools via SARIF upload to GitHub.

Reduce security debt and burn down your security backlog with security campaigns.

Get a clear view of your project’s dependencies with a summary of manifest, lock files, and submitted dependencies via the API.

Catch insecure dependencies before adding them and get insights on licenses, dependents, and age.

Preview. See which Dependabot alerts matter most by checking whether your JavaScript or TypeScript code calls the vulnerable function.

Define alert-centric policies to control how Dependabot handles alerts and pull requests.

Automated pull requests that batch dependency updates for known vulnerabilities.

Automated pull requests that keep your dependencies up to date.

Preview. Block malicious and risky npm packages before agents, runners, or IDEs install them.

Get a clear view of risk distribution with security metrics and dashboards.