Topic

Data Layer Security

Data layer security encompasses the protective measures and controls applied to databases, data warehouses, and storage systems that hold organizational information. This includes access controls, encryption, monitoring, and threat detection to prevent unauthorized access, data breaches, and exfiltration of sensitive information. For AI governance, data layer security is critical because machine learning models often require access to large datasets containing personal, proprietary, or regulated information, making robust security practices essential for compliance with standards like GDPR, HIPAA, and SOC 2.

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Corporate PolicyUS2026-06-26

Cyberhaven's Agentic AI Governance Framework Puts Data-Layer Controls at the Center of Agent Authorization

Cyberhaven published a structured agentic AI governance framework on June 20, 2026, addressing visibility into agent actions, data-layer access controls independent of agent identity, and audit trails sufficient for regulatory review. The framework defines authorization workflows, data access boundaries, permissible action scopes, and incident response protocols for autonomous agent behavior. Enterprise security and compliance teams are the primary audience for the technical guidance.

agentic AI data layer security agent authorization audit trails incident response