Delivering enterprise-grade security datasets and AI solutions to empower intelligent agents, automate security operations, and scale innovation.
An end-to-end framework from SBOM to automated vulnerability verification and secure delivery, empowering organizations to build with trust, transparency, and compliance in their open-source supply chain.
Addressing the most pressing needs in AI-driven cybersecurity
Transform raw security intelligence into AI-ready training datasets with comprehensive labeling and validation
Deep component analysis across versions, licenses, and security risks with automated compliance checking
Specialized datasets engineered for security AI training with domain-specific context and reasoning
Comprehensive security intelligence platform
Automated component verification and trust scoring
Comprehensive mapping of software components across ecosystems with vulnerability intelligence and risk scoring.
Advanced vulnerability mapping with AI-enhanced threat intelligence and automated impact analysis.
Automated patch tracking and dependency resolution for enterprise security management and compliance.
Complete license compliance analysis with risk scoring, policy enforcement, and legal validation.
Visual dependency mapping with security risk propagation analysis and migration pathway optimization.
Production-ready datasets for security AI development
Dataset Name | Use Case | Format | Size | Samples |
---|---|---|---|---|
VulnPrompt-Train | LLM Security Training | JSON TFRecord | 2.3GB | 150K+ |
PatchTrace-SFT | Supervised Fine-tuning | Parquet JSONL | 1.8GB | 89K+ |
CWEClassifier | Weakness Classification | JSON CSV | 450MB | 45K+ |
BinVulnEval | Binary Analysis Benchmark | TFRecord HDF5 | 3.2GB | 200K+ |
AutoLabelTasks | Automated Labeling | JSON Parquet | 1.1GB | 75K+ |
Powering next-generation security applications
Train security-focused language models
Automated software bill of materials analysis
Intelligent automated security patching
Standardized evaluation datasets
Comprehensive security data across all major ecosystems
55,000+ mapped CVEs across 50k+ components with 10.5% false negative rate, providing comprehensive vulnerability coverage.
Dependency Graph and Migration Graph with full COT verification, enabling precise component relationship analysis.
40k+ Android packages, 1000+ C/C++ modules, human-labeled and validated for automotive security applications.
Industry-leading capabilities that set us apart