Software supply chain security for GitHub
Enable real-time DLP in GitHub capable of finding malware, passwords, secrets, keys, dependency risks, and other sensitive data exposed within your code repositories and comments as new software is written. Conduct scans on demand or automatically whenever a repository changes. Polymer, in partnership with Phylum, is a complete shift-left solution for your software development lifecycle (SDLC).
Polymer DSPM: DLP for GitHub benefits
- Agentless
- 15-minutes installation
- Virtual private cloud hosting
- All GitHub plans supported
- Granular policy controls
- Pre-commit and pull request remediations
Secure your SDLC
Polymer enables you to reduce the threat of sensitive data exposure within your codebase. Detect and block pull requests with vulnerabilities. Automate SBOM creation. Protect against malware and copyright infringement that arise when developers use AI-assisted code-writing tools like Copilot.
Data observability
- End-to-end supply chain scan
- Data classification and comprehensive risk assessment
- End-of-day SBOM reporting with licensing information
Flexible remediation
- Reject, approve, or request changes on pull requests
- Block pre-commits
- Custom security workflows per event
Comprehensive reports
- SBOMs
- Malware reporting
- Copyright infringement detection
Discover
Secure
Learn
AI-powered data security with active learning
Secure single-tenant hosting
APIs available
Seamless integration with CNAPP
Unparalleled cross-cloud visibility
Pre-built data governance templates (e.g. HIPAA, PCI, SOC 2)
Automatic detection and classification of 250+ data elements
SBOM generation and ingestion
Real-time warning and remediation options
SOC alerts via email, Slack, Microsoft Teams, or SIEM
Zero-trust for open source ecosystems
Polymer DLP for GitHub vs competitors
| Feature | Polymer | SOOS | GitHub SCA | GitLab SCA | Fossa | |
|---|---|---|---|---|---|---|
SBOM |
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SBOM |
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| SPDX | ||||||
| SPDX | ||||||
| CycloneDX | ||||||
| CycloneDX | ||||||
| SBOM production | ||||||
| SBOM production | ||||||
| Third-party SBOM ingestion | ||||||
| Third-party SBOM ingestion | ||||||
| SBOM rule attestation | ||||||
| SBOM rule sttestation | ||||||
| Third-party SBOM continuous monitoring | ||||||
| Third-party SBOM continuous monitoring | ||||||
Vulnerability scanning |
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Vulnerability scanning |
||||||
| Vulnerability identification | ||||||
| Vulnerability identification | ||||||
| Real-time vulnerability updates | ||||||
| Real-time vulnerability updates | ||||||
| Vulnerability priortization | ||||||
| Vulnerability priortization | ||||||
| CI/CD integrations | ||||||
| CI/CD integrations | ||||||
| False positive management | ||||||
| False positive management | ||||||
| Remediation guidance | ||||||
| Remediation guidance | ||||||
| Custom policies | ||||||
| Custom policies | ||||||
| Continuous monitoring and alerts | ||||||
| Continuous monitoring and alerts | ||||||
Software supply chain risks |
||||||
Software supply chain risks |
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| Software supply chain attack prevention | ||||||
| Software supply chain attack prevention | ||||||
| OSS malware | ||||||
| OSS malware | ||||||
| Author risk | ||||||
| Author risk | ||||||
| Engineering risk | ||||||
| Engineering risk | ||||||
| Security-as-code policy enforcement | ||||||
| Security-as-code policy enforcement | ||||||
| Developer defense | ||||||
| Developer defense | ||||||
| Zero-day software supply chain attack identification | ||||||
| Zero-day software supply chain attack identification | ||||||
| Continuous monitoring and alerting | ||||||
| Continuous monitoring and alerting | ||||||
License issue detection |
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License issue detection |
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| Commercial license risk identification | ||||||
| Commercial license risk identification | ||||||
| AI-enabled license detection | ||||||
| AI-enabled license detection | ||||||
| Conflicting license detection | ||||||
| Conflicting license detection | ||||||
Remediation |
||||||
Remediation |
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| Reachability analysis | ||||||
| Reachability analysis | ||||||
| AI-enabled remediation guidance | ||||||
| AI-enabled remediation guidance | ||||||
Sustainable sensitive data management
Data classification
Polymer actively monitors and automatically classifies data that’s important to your organization in real-time as developers work in GitHub. Reduce false positives with context mapping.
Flexible remediation
Polymer aligns with your existing operational workflows and can take automatic remediation action when policy violations occur. Tailor your approach to block commits, require approval, or reject pull requests..
Employee training & nudges
Polymer has point-of-violation warnings to inform employees of policy violations and reduce the occurrence of ongoing risky behavior via active learning.
Historic scans
Polymer provides the ability to scan all GitHub repositories historically from inception for a comprehensive risk assessment.
Pre-built data policies
Polymer provides pre-built policy frameworks that can quickly be applied for HIPAA, PCI, SOC 2, CCPA, ISO 27001, CMMC2.0, and GLBA compliance.
Risk scan & scores
Polymer’s risk scanning and scoring help your security team identify and prioritize the GitHub repositories and users that pose the greatest risk.
Custom SOC workflows
Polymer gives you the option to monitor and take action on all GitHub security events through email, Slack message, or Jira ticket alerts.
Advanced entity detection
Polymer’s detection engine combines regex and natural language processing (NLP) to improves detection accuracy.
Multi-language support
Polymer identifies sensitive data in 40+ languages, covering global identifiers for 100+ countries.
I like to think of traditional DLP as file loss prevention, but the Polymer product protects the data…it protects the actual information.
Lorenzo Pedroncelli
Senior Manager, RSA Security
Polymer provides us with the flexibility to effectively manage compliance and security parameters, offering unparalleled protection of our customer’s PII data.
John Storozuk
Security Partner, ClickUp
Polymer saves us time and money in satisfying our SOC 2 ongoing monitoring and data privacy guidelines.
Michael Cramer
Head of Product, Routefusion
Our prior solution required 8 hours per week of FTE time to manage alerts. With Polymer, we are down to 0.
Mark Magpayo
Sr. Director of Security Operations, Signify Health
Polymer is giving us 99% accuracy in sensitive data found over SaaS.
Dave Bour
Director of IT & Information Security, Medly
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