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miniOrange File Fingerprinting for Git scans repositories, commits, branches, and pull requests to detect fingerprinted sensitive files and confidential data copied, embedded, or exposed in source code.
Identify the commit, branch, or pull request where a fingerprint match was introduced and whether the data remains exposed. Integrate these insights with DLP policies to flag or block risky commits before they are merged.
Help protect intellectual property, credentials, and regulated data while supporting compliance with GDPR, HIPAA, PCI DSS, ISO 27001, and SOC 2.
Fingerprint, detect, and remediate sensitive data exposure across Git repositories with integrated fingerprinting and DLP capabilities.
Catch fingerprint matches at the commit or pull request stage, before sensitive data reaches shared branches.
Support GDPR, HIPAA, ISO 27001, PCI DSS, and SOC 2 requirements with audit-ready visibility into regulated data inside source code.
Identify commits and pull requests that expose fingerprinted files before they merge or push to public repositories.
Track how sensitive data enters, moves through, and exits Git repositories, with real-time alerts.
Identify and classify fingerprinted matches across repositories to apply the right security policy to the right commit with DLP Data Classification policies.
Automatically tag and label commits and files by match type and risk level so sensitive content stays traceable across repositories.
Deploy against cloud-hosted Git platforms, self-hosted Git servers, or both; policies stay consistent across environments.
Supports hundreds of repositories and organizations across the org, so coverage doesn't drop off as your codebase grows.
Works across GitHub, GitLab, Bitbucket, and Azure DevOps, plus self-hosted Git servers, covering both cloud and on-premise deployments under one solution.
Integrates with Active Directory, IAM, DLP, and CI/CD pipelines, so Git fingerprinting plugs into the access controls and workflows you already run.
Detect fingerprinted sensitive data in source code across regulated industries and high-value development environments.
Scan repositories, detect fingerprinted content, and keep audit-ready visibility across Git without disrupting developer workflows.
Scan repositories, branches, and commits continuously across GitHub, GitLab, Bitbucket, and Azure DevOps. Gain centralized visibility into where fingerprinted data enters your codebase without disrupting developer workflows.
Automatically match sensitive source documents and confidential data against commits and pull requests using exact and partial fingerprinting. Reduce false positives while improving detection accuracy.
Detect risky commits, pull requests, and externally shared repositories in real time. Reduce the risk of accidental or intentional exposure of regulated and confidential data through source code.
Generate audit-ready reports, activity logs, and investigation-ready records for compliance reviews. Maintain complete visibility into repository activity, fingerprint matches, and exposure alerts.
Common questions about Git file fingerprinting and DLP.
Git file fingerprinting compares repository content against digital fingerprints generated from sensitive files. It can detect exact and partial matches when confidential content appears in source code, commits, branches, or pull requests.
Yes. Exact and partial matching can detect copied fragments and modified content derived from a fingerprinted file, based on the configured matching threshold.
The solution supports GitHub, GitLab, Bitbucket, Azure DevOps, and self-hosted Git repositories across cloud, on-premise, and hybrid environments.
Yes. DLP policies can flag fingerprint matches at the commit or pull request stage so risky changes can be reviewed or blocked before they reach protected branches.
It provides audit logs, reports, alerts, and visibility into regulated data exposed in source code, supporting GDPR, HIPAA, PCI DSS, ISO 27001, and SOC 2 compliance activities.
Yes. Administrators can assign role-based permissions, manage privileges at the role level, and create custom roles that restrict access to specific dashboard modules.
