How Drata Built a Secure, Real-Time Agentic AI System in 60 Days



Building enterprise AI requires more than just interacting with large language models (LLMs)—it demands real-time context to generate accurate answers based on fresh data while maintaining compliance, security, and governance. In this webinar, Decodable, Vellum, and Drata will showcase how a streaming-first architecture, powered by Change Data Capture (CDC) and Apache Flink, enables high-throughput Retrieval-Augmented Generation (RAG) at scale.
Drata shares how they process millions of events per day across thousands of isolated vector databases—leveraging Decodable for real-time data ingestion and Vellum to rapidly experiment and validate AI features. We’ll explore how linking relevant context before indexing improves AI accuracy, how CDC enforces compliance by handling opt-in checks and deletions in real-time, and how to overcome system dependencies in production environments.
Why Watch?
- Deliver real-time AI context: See how streaming data enhances AI accuracy.
- Ensure compliance and security: Learn how CDC enforces governance at scale.
- Accelerate AI development: Discover how Drata went from prototype to production in just two months.
Learn how real-time data streaming powers secure, high-performance enterprise AI.
How Drata Built a Secure, Real-Time Agentic AI System in 60 Days



Building enterprise AI requires more than just interacting with large language models (LLMs)—it demands real-time context to generate accurate answers based on fresh data while maintaining compliance, security, and governance. In this webinar, Decodable, Vellum, and Drata will showcase how a streaming-first architecture, powered by Change Data Capture (CDC) and Apache Flink, enables high-throughput Retrieval-Augmented Generation (RAG) at scale.
Drata shares how they process millions of events per day across thousands of isolated vector databases—leveraging Decodable for real-time data ingestion and Vellum to rapidly experiment and validate AI features. We’ll explore how linking relevant context before indexing improves AI accuracy, how CDC enforces compliance by handling opt-in checks and deletions in real-time, and how to overcome system dependencies in production environments.
Why Watch?
- Deliver real-time AI context: See how streaming data enhances AI accuracy.
- Ensure compliance and security: Learn how CDC enforces governance at scale.
- Accelerate AI development: Discover how Drata went from prototype to production in just two months.
Learn how real-time data streaming powers secure, high-performance enterprise AI.