Data Governance & Security
For enterprises deploying AI at scale, governance and security are paramount. Javelin AI embeds rigorous controls and transparency throughout the data lifecycle to ensure compliance, trust, and risk mitigation.
Key Governance Features
Audit Logging & Provenance: Every action — from data ingestion and labeling to model training runs — is recorded with immutable logs, enabling complete traceability and accountability.
Data Lineage Tracking: Visualize how data flows through pipelines, which transformations were applied, and how labeled data contributed to model versions.
Compliance-Ready Infrastructure: Meets key regulatory standards including GDPR, HIPAA, and SOC 2. Supports data residency requirements and encryption at rest/in transit.
Privacy & Anonymization: Built-in tools to anonymize sensitive fields prior to model training or sharing, reducing risk of exposure.
Approval Workflows: Configurable checkpoints for dataset publishing, labeling finalization, and model promotion — ensuring critical decisions involve appropriate stakeholder review.
Security Architecture
End-to-end encryption with TLS 1.3
Enterprise SSO integration (SAML, OAuth2)
Network isolation and private cloud deployments
Regular security audits and penetration testing
With Javelin AI, organizations can confidently operationalize generative AI, knowing their data is handled with enterprise-grade security and governance best practices.
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