Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn essential strategies for securing AI applications and mitigating security risks in enterprise environments through this 41-minute conference talk from Databricks. Discover how the Databricks Security team collaborated with leading cybersecurity researchers from OWASP, Gartner, NIST, HITRUST, and Fortune 100 companies to develop the Databricks AI Security Framework (DASF) version 2.0. Explore a comprehensive AI security architecture utilizing Unity Catalog, MLflow, egress controls, and AI gateway technologies. Understand how security teams, AI practitioners, and data engineers can effectively secure AI applications on the Databricks platform. Gain practical insights into implementing robust security measures as organizations increasingly integrate AI into their core operations to enhance customer experiences and automate decision-making processes. Access valuable resources including a reference architecture for securing AI applications, a detailed worksheet mapping AI risks and controls to industry standards such as MITRE, OWASP, NIST, and HITRUST, and a DASF AI assistant tool for testing AI security implementations. Presented by Arun Pamulapati, Principal Security Engineer, and Samrat Ray, Senior Staff Product Manager, both from Databricks.
Syllabus
Best Practices to Mitigate AI Security Risks
Taught by
Databricks