Morgan Stanley, a highly regulated financial institution, needs to meet stringent security and regulatory requirements around data storage and processing. Traditionally, this has necessitated maintaining control over data and compute within their own accounts with the associated management overhead. In this session, we will cover how Morgan Stanley has partnered with Databricks on a fully-managed compute and storage solution that allows them to meet their regulatory obligations with significantly reduced effort. This innovative approach enables rapid onboarding of new projects onto the platform, improving operational efficiency while maintaining the highest levels of security and compliance.

Delta Sharing enables cross-domain sharing of data assets for collaboration. A practical concern providers and recipients face in doing so is the need to manually configure network and storage firewalls. This is particularly challenging for large-scale providers and recipients with strict compliance requirements. In this talk, we will describe our solution to fully eliminate these complexities. This enhances user experience, scalability and security, facilitating seamless data collaboration across diverse environments and cloud platforms.

This session is repeated. AI is transforming industries, enhancing customer experiences and automating decisions. As organizations integrate AI into core operations, robust security is essential. The Databricks Security team collaborated with top cybersecurity researchers from OWASP, Gartner, NIST, HITRUST and Fortune 100 companies to evolve the Databricks AI Security Framework (DASF) to version 2.0. In this session, we’ll cover an AI security architecture using Unity Catalog, MLflow, egress controls, and AI gateway. Learn how security teams, AI practitioners and data engineers can secure AI applications on Databricks. Walk away with:• A reference architecture for securing AI applications• A worksheet with AI risks and controls mapped to industry standards like MITRE, OWASP, NIST and HITRUST• A DASF AI assistant tool to test your AI security

To learn more, visit the Databricks Security and Trust Center: https://www.databricks.com/trust

In this session, we will talk about the best practices for setting up Databricks to run at large enterprise scale with thousands of users, departmental security and governance, and end-to-end lineage from ingestion to BI tools. We’ll showcase the power of Unity Catalog and Databricks SQL as the core of your modern data stack and how to achieve both data, environment, and financial governance while empowering your users to quickly find and access the data they need.

Talk by: Siddharth Bhai, Paul Roome, Jeremy Lewallen, and Samrat Ray

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksin

At Databricks, we know that data is one of your most valuable assets and alwasys must be protected, that’s why security is built into every layer of the Databricks Lakehouse Platform. Databricks provides comprehensive security to protect your data and workloads, such as encryption, network controls, data governance and auditing.

In this session, you will hear from Databricks product leaders on the platform security and compliance progress made over the past year, with demos on how administrators can start protecting workloads fast. You will also learn more about the roadmap that delivers on the Databricks commitment to you as the most trusted, compliant, and secure data and AI platform with the Databricks Lakehouse.

Talk by: Samrat Ray and David Veuve

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksin