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This post introduces coSTAR, Databricks' methodology for reliably testing and iterating on AI agents using MLflow.
This post presents a pipeline to fine-tune a domain-specific embedding model in under a day on a single GPU without manual labeling.
Databricks releases DASF v3.0, extending its AI Security Framework with 35 new risks and 6 controls specifically targeting agentic AI systems.
Databricks previews three infrastructure talks at SRECon 2026, covering Kubernetes load balancing, AI-assisted database debugging, and their open-source auto-sharding system Dicer.
This post announces the 1.0 release of Ingress2Gateway, a migration assistant that helps teams move from Kubernetes Ingress to Gateway API ahead of the Ingress-NGINX retirement in March 2026.
This post introduces the Agent Sandbox project, a new Kubernetes-native abstraction designed to run stateful, long-running AI agents as first-class workloads.
Trivy, an open-source vulnerability scanner by Aqua Security, suffered a second supply chain attack where 75 GitHub Actions version tags were hijacked to deliver CI/CD secret-stealing malware.
Mazda built a GenAI-powered service assistant on Databricks Lakehouse to help hotline agents diagnose vehicle issues faster and more accurately.
A critical unauthenticated remote code execution vulnerability (CVE-2026-33017, CVSS 9.3) in Langflow was actively exploited within 20 hours of public disclosure.
IBM Research releases Mellea 0.4.0 and three Granite Libraries for building structured, verifiable, and safety-aware AI workflows on IBM Granite models.
This article explains why dropdown menus break inside scrollable containers and offers practical solutions rooted in understanding three browser systems.
This post covers semantic layer architecture — the component that translates source data into governed business metrics for consistent access across BI tools, notebooks, and AI systems.
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