Securing the Grid: Modernizing E&U Security Operations with Lakewatch (AI-Native SIEM)
Overview
| Experience | In Person |
|---|---|
| Track | Cybersecurity |
| Industry | Energy & Utilities |
| Technologies | Databricks SQL, Unity Catalog, Databricks Agents |
| Skill Level | Intermediate |
Energy & Utilities (E&U) face a perfect storm: surging OT/ICS ransomware, strict NERC CIP/TSA regulations, and an explosion of IT/OT telemetry. Traditional SIEMs, hampered by ingest-based pricing and data silos, can no longer keep pace. Enter Lakewatch: Databricks’ open, AI-native SIEM, built natively on the Lakehouse.
This session provides insights from Energy Queensland's journey of navigating the challenges of traditional SIEM and the impact a security lakehouse on Databricks can deliver. We'll discuss how Databricks Lakewatch, the lakehouse-native SIEM, eliminates "ingest taxes" and unifies IT, cloud, and OT logs through OCSF-aligned schemas; how SQL-based detection engineering and agentic threat hunting open up petabytes of historical data in seconds; and how an open, decoupled storage and compute architecture delivers the visibility, long-term retention, and AI-readiness critical infrastructure operators need to increase their situational awareness.
Session Speakers
Dylan Mills
/Senior Security Engineer
Rearc
Rakesh Cherukuri
/Solutions Architect
Databricks
Shane Atherton
/Account Executive - Energy
Databricks