Building Safe AI with Databricks and Gencore

Build Secure AI Systems with Data Ingestion, Governance, and Protection

Databricks provides core capabilities for managing data and building AI systems. However, the biggest barrier organizations face in building Enterprise GenAI is ensuring the safe use of data in these new AI systems. Organizations must safely and reliably ingest data from diverse systems while maintaining governance and compliance controls. In particular harnessing unstructured data is critical, as it represents the majority of an organization’s data estate, leading to more powerful AI solutions.

In this session, we will share how Securiti Gencore AI’s support for Databricks Delta tables creates a secure pathway for unstructured data to power enterprise AI initiatives. We will demonstrate how this partnership enables customers to build safe, enterprise-grade generative AI systems using proprietary enterprise data.

What we will cover:

• Learn how to quickly ingest unstructured data from SaaS and on-prem sources using rules-based delta fetches and batch processing for high-scale, continuous operations.
• Discover how to leverage contextual intelligence from Data Command Graph to filter relevant files based on labels, entitlements, regulations, and data quality.
• Explore techniques for auto-classifying and sanitizing sensitive data through redaction, masking, and anonymization before storing in Delta tables.
• Understand how to maintain full lineage and visibility of file sync and controls while meeting AI governance and compliance requirements.
• See real-world examples of how enterprises are building secure, personalized, permissions-aware AI applications within Databricks using Gencore AI.