Introducing the Databricks AI Security Framework (DASF) to Manage AI Security Risks
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Science and Machine Learning |
TECHNOLOGIES | Databricks Experience (DBX), AI/Machine Learning, GenAI/LLMs, Governance |
SKILL LEVEL | Beginner |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
The Databricks Security team closely collaborated with the top cyber security researchers at industry organizations such as OWASP, Gartner, NIST, McKinsey and several Fortune 100 companies and created the Databricks AI Security Framework (DASF) to address the evolving risks associated with the widespread integration of AI and ML globally. Join us in this session, where we will discuss robust AI security guidelines to help data teams understand how to deploy their organizations’ ML and AI applications securely. This session will give a security framework for security teams (CISOs, Security leaders, DevSecOPs), ML practitioners, DE engineers, and governance teams. You will walk away with the controls and the tools to test your Databricks deployments for AI security.
SESSION SPEAKERS
Arun Pamulapati
/Sr. Staff Security Field Engineer
Databricks
Kelly Albano
/Security Product Marketing
Databricks