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YouTube

Building Safe Enterprise AI Systems with Databricks

Data Science Dojo via YouTube

Overview

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This 25-minute webinar explores how Securiti Gencore AI supports Databricks Delta tables to enable safe enterprise generative AI systems. Discover how to overcome the biggest barrier in Enterprise GenAI by ensuring secure data usage. Learn practical techniques for quickly ingesting unstructured data from various sources using delta fetches and batch processing, implementing contextual filtering with Data Command Graph based on labels and entitlements, and automatically classifying and sanitizing sensitive data through redaction and anonymization. The session includes a live demonstration of secure data ingestion with Gen Core APIs, showing how to connect on-premises data systems, configure data loaders, visualize data flow, and implement security measures like encryption and compliance monitoring. The presentation covers integration with Unity Catalog for AI governance, MLflow for model performance tracking, and syncing capabilities with other AI platforms, providing a comprehensive overview of building secure, permissions-aware AI systems in Databricks.

Syllabus

0:00 - Importance of Data in AI Applications
2:15 - Challenges in Handling Unstructured Data
3:47 - Data Cleaning and Sanitization
4:08 - Utilizing Delta Tables and Vector DBs
5:00 - Data Command Graph and Knowledge Graph
5:28 - Entitlement and Permission Management
6:02 - Integration with Unity Catalog
6:48 - Data Syncing & Integration Best Practices
13:25 - Live Demo: Secure Data Ingestion with Gen Core APIs
13:47 - Connecting On-Prem Data Systems SMB
14:14 - Configuring Data Loader and Sanitization Nodes
14:37 - Visualizing Data Flow and Provenance
15:02 - Previewing Original and Sanitized Files
15:26 - Viewing Files in Databricks
18:40 - Redaction and Anonymization Processes
19:25 - Encryption and Data Security
20:04 - Monitoring and Compliance Checks
21:50 - Utilizing MLflow for Model Performance Monitoring
22:38 - Syncing Data with Other AI Platforms e.g., Vortex AI, Azure
18:21 - Q&A Session
19:54 - Role of Unity Catalog in AI Governance
21:37 - Integration with External Rule Stores for Redaction
24:26 - Partnership with Databricks

Taught by

Data Science Dojo

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