Databricks Announces Lakewatch: New Open, Agentic SIEM | Endigest
Databricks
|SecurityTags:Platform
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Databricks announces Lakewatch, an open, agentic SIEM built on lakehouse architecture to counter AI-driven cyberattacks at machine scale.
- •Unifies security, IT, and business data in a single governed environment using open formats (OCSF, Delta Lake, Apache Iceberg)
- •Decouples storage from compute to enable petabyte-scale full-fidelity telemetry retention at reduced cost
- •Embeds AI agents (Genie) for automated log ingestion, detection authoring, false-positive reduction, and natural language threat hunting
- •Supports Detection-as-Code via YAML/SQL/Python with CI/CD pipelines and custom ML models through MLflow
- •Powered by Anthropic Claude for cross-data signal correlation; acquiring Antimatter and SiftD.ai to deepen agentic security capabilities
This summary was automatically generated by AI based on the original article and may not be fully accurate.