Unified Security Data Ingestion
Automatically collect and normalize security data from all your tools, providing unified visibility across your entire security stack.
The Challenge
Security data comes from many sources in many formats, making unified visibility difficult.
Multiple Data Formats
Each security tool outputs data in different formats, making it difficult to correlate findings and understand relationships across tools.
Manual Data Collection
Security teams spend significant time manually exporting and importing data from different tools, creating delays and potential errors.
Real-Time Requirements
Security data needs to be ingested in real-time to provide timely insights, but traditional batch processes create delays.
Data Quality Issues
Inconsistent data quality, missing fields, and duplicate entries make it difficult to build accurate security intelligence.
Our Solution
GoSentrix Data Ingestion Layer automatically collects and normalizes security data from all your tools.
GoSentrix Data Ingestion Layer (Pioneer + Hermes) automatically connects to all your security tools—SAST scanners, SCA tools, cloud security platforms, CI/CD systems, runtime security, and more. We support native integrations with GitHub, GitLab, AWS, Azure, GCP, Snyk, Tenable, Kubernetes, and dozens of other security tools.
Our ingestion layer normalizes data from different formats into a unified schema, automatically mapping fields, deduplicating findings, and enriching data with context. Real-time ingestion ensures that security findings are available immediately, while batch processing handles historical data and large exports.
The Data Ingestion Layer is designed for scale, handling millions of findings per day while maintaining data quality and consistency. All ingested data flows into the Risk Graph, where relationships are automatically discovered and mapped, providing the foundation for unified security intelligence.
Key Capabilities
Everything you need for comprehensive security data ingestion.
Native Integrations
Pre-built integrations with 50+ security tools including GitHub, GitLab, AWS, Azure, GCP, Snyk, Tenable, and Kubernetes.
Real-Time Ingestion
Stream security data in real-time from your tools, ensuring immediate visibility into new findings and changes.
Data Normalization
Automatically normalize data from different formats into a unified schema, making correlation and analysis seamless.
Data Quality
Automated data validation, deduplication, and enrichment ensure high-quality security intelligence from all sources.
Comprehensive Coverage
Ingest data from code scanners, cloud security tools, runtime protection, CI/CD systems, and infrastructure monitoring.
Scalable Architecture
Handle millions of findings per day with a scalable architecture designed for enterprise-scale security operations.
Benefits
Why organizations choose GoSentrix for security data ingestion.
Unified Data View
See all your security data in one place, normalized and ready for analysis, eliminating the need to switch between multiple tools.
Real-Time Visibility
Get immediate visibility into new security findings as they are discovered, enabling faster response and remediation.
Reduced Manual Work
Eliminate manual data exports and imports, saving your security team hours of work each week.
Improved Data Quality
Automated normalization and validation ensure consistent, high-quality data that powers accurate security intelligence.
Ready to Unify Your Security Data?
See how GoSentrix Data Ingestion Layer can automatically collect and normalize security data from all your tools.