Databricks

Enhanced Security and Compliance Add-on

Databricks

The Databricks Enhanced Security and Compliance Add-on is a specialized offering designed to augment the security posture and regulatory adherence of the Databricks Lakehouse Platform. This add-on is particularly crucial for organizations operating in highly regulated industries that handle sensitive data, such as healthcare (HIPAA), finance (PCI-DSS), and government (FedRAMP). It extends Databricks' foundational security capabilities by providing advanced features that simplify the complexities of meeting stringent security and compliance requirements. The add-on comprises two primary components: Enhanced Security Monitoring (ESM) and the Compliance Security Profile (CSP). ESM focuses on hardening the underlying compute infrastructure, offering robust protection against malware, unauthorized changes, and host-level vulnerabilities through hardened operating system images, behavioral monitoring, and file integrity checks. The CSP builds upon these enhancements by integrating FIPS 140 validated encryption, automated security patching, and configurable compliance profiles tailored to specific industry standards. This ensures that data at rest and in transit is protected with certified cryptographic modules, and that the environment remains continuously updated against emerging threats. By centralizing security event logging and providing comprehensive vulnerability reporting, the add-on empowers security teams with enhanced visibility and forensic capabilities. It supports a shared responsibility model, where Databricks secures the platform, and the add-on provides customers with the tools to secure their data and workloads within that platform, facilitating a more secure and compliant data analytics and AI environment.

Data Intelligence for Cybersecurity

Databricks

Databricks Data Intelligence for Cybersecurity is a unified, AI-powered platform designed to transform security operations by centralizing, governing, and analyzing all security, IT, and business data within an open lakehouse architecture. It addresses the challenges of data fragmentation, high costs, and limited visibility often associated with traditional security tools like SIEMs. The platform enables security teams to ingest and process petabytes of telemetry data at scale, leveraging advanced analytics and machine learning to detect threats, hunt anomalies, and enrich alerts more effectively. By integrating seamlessly with existing security ecosystems (SIEM, SOAR, EDR, XDR) and an extensive partner network, it provides a comprehensive solution for advanced threat detection, rapid incident response, and robust compliance reporting. Key capabilities include AI agents for automating security workflows, real-time security insights through intuitive dashboards and natural language queries, and strong data governance. This empowers SOC analysts, security leaders, and other stakeholders to make faster, more informed decisions, reduce alert fatigue, and proactively combat modern, AI-driven threats, ultimately enhancing an organization's overall security posture and operational efficiency.

Unity Catalog

Databricks

Databricks Unity Catalog is a unified governance solution designed for managing and securing data and AI assets across the Databricks Lakehouse Platform. It provides a centralized control plane for administering data access policies, auditing, and lineage tracking across multiple Databricks workspaces and diverse cloud environments (AWS, Azure, Google Cloud). By implementing a standards-compliant security model based on ANSI SQL, Unity Catalog enables fine-grained access controls down to the column and row level, ensuring that sensitive information is protected and only authorized users can interact with specific data. The platform automatically captures comprehensive user-level audit logs and end-to-end data lineage, offering transparency into how data assets are created, transformed, and consumed across various languages and workloads. This holistic approach simplifies regulatory compliance, enhances overall data security posture, and facilitates secure data sharing both within an organization and with external partners through features like Delta Sharing and Clean Rooms. Unity Catalog supports the governance of structured tables, unstructured files (volumes), views, and machine learning models, making it a critical component for building a robust, compliant, and scalable data and AI ecosystem.