Lakewatch

Databricks is a unified platform for data, analytics, and AI. It supports ETL, data warehousing, governance, and AI workflows through a data-centric platform. The videos describe its use for security detection, organizational ontologies, agents, and internal enterprise AI workflows.

Lakebed is a cloud product whose codebase was audited, cleaned up, optimized, and improved through parallel pull requests generated by AI.

Data Agent Kit is an editor extension for working with data operations. It supports viewing data jobs, executing saved queries, monitoring data-flow and Spark jobs, running notebooks, and accessing data services.

Lakebase is a Postgres database discussed as infrastructure that AI agents can select and use. It is described as supporting rapid provisioning and database branching.

numbat is an open-source endpoint security tool for monitoring AI-agent activity across supported desktop, CLI, IDE, and gateway agents. It combines local hooks and plugins, OTLP/HTTP logs, and on-disk session artifacts, normalizes live and stored activity into a common event model, and evaluates it locally with built-in, sequence-based, or custom YAML CEL rules. The tool can produce NDJSON events, findings, enforcement decisions, indicators, and scan summaries for alerting and forensic reconstruction, including read-only artifact scans, per-session timelines, and portable case bundles with SHA-256 manifests. Optional pre-action blocking is disabled by default and is limited to supported synchronous hooks and explicitly enforced rules. It is distributed as a single cgo-free binary for macOS, Linux, and Windows, with read-only inventory and scanning commands.