Inside one of the first production deployments of Lakebase: LangGuard's agentic workflow governance engine | Endigest
Databricks
Get the latest tech trends every morning
Receive daily AI-curated summaries of engineering articles from top tech companies worldwide.
LangGuard is a runtime governance platform for enterprise agentic AI workflows built on Databricks Lakebase.
- •GRAIL™ data fabric captures every agent action as multidimensional trace data and enforces policies in real-time before execution
- •Serverless Lakebase architecture provides elastic autoscaling and scale-to-zero between bursts of agent activity
- •Integrates governance across dozens of enterprise systems including ServiceNow, Salesforce, Workday, and multiple API gateways
- •Millisecond-latency reads ensure policy enforcement decisions happen at workflow speed without adding latency to agent execution
- •Future roadmap includes predictive governance models trained on GRAIL trace data to detect anomalous agent behavior before violations occur
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Google Cloud
The Hacker News