Omar Khawaja, CISO, Databricks
Open, agentic SIEM combines AI-speed defence with full data ownership
“As India’s enterprises accelerate their digital ambitions, attackers are keeping pace, deploying AI-generated phishing, deepfakes, and autonomous exploit campaigns that move faster than any human analyst can respond. Legacy security tools were built for yesterday’s data volumes and human-speed threats; they cannot keep up. That is why we built Lakewatch, the industry’s first open, agentic SIEM, designed to fight AI-speed attackers with AI-speed defence. Lakewatch modernises the SOC with AI agents that automate detection, triage, hunting, and response, while enabling enterprises to analyse structured and unstructured data in open formats that are cost-effective and free from vendor lock-in.
Lakewatch is built natively on the Databricks Data + AI Platform, which means security, IT, and business data are unified in a governed security lakehouse under a single permissions model through Unity Catalog. Enterprises retain full ownership of their data in open formats, making it straightforward to meet evolving regulatory and compliance requirements while maintaining complete visibility across their environment.
What sets Lakewatch apart is that it eliminates the forced trade-off between visibility and cost. By decoupling storage from compute, enterprises can ingest 100% of their security telemetry, retain years of full-fidelity data, and run advanced analytics at scale, reducing security operations costs by up to 80%. This is proactive, measurable protection: fewer blind spots, faster response, and a platform that scales with the threat landscape rather than against the budget.”
