Databricks Enters Security Market with Launch of Lakewatch: New Open, Agentic SIEM
Lakewatch uses AI agents powered by Anthropic’s Claude and recent acquisitions to improve threat detection and prioritization, aiming to tackle rising cybersecurity alert volumes.
- On Tuesday, Databricks announced the launch of Lakewatch, an AI-powered Security Information and Event Management tool designed to detect and investigate security threats using artificial intelligence.
- To support the new product, Databricks acquired two small startups: Antimatter, which closed last year, and San Francisco-based SiftD, which closed on Monday.
- Lakewatch performs security tasks using AI agents powered by Anthropic's Claude, while CEO Ali Ghodsi said the work-based pricing model avoids being "too prohibitively expensive."
- The tool competes with security offerings from Cisco-owned Splunk and Palo Alto Networks, with early adopters Adobe and National Australia Bank already using the platform.
- Success with Lakewatch could help Databricks justify its $134 billion valuation, as CEO Ali Ghodsi noted LLMs "have matured to a point" where they automate significant security operations.
21 Articles
21 Articles
Databricks Enters Security Market with Launch of Lakewatch: New Open, Agentic SIEM
/PRNewswire/ -- Databricks, the Data and AI company, today announced Lakewatch, a new open, agentic SIEM (Security Information and Event Management) designed...
Databricks introduces Lakewatch. The new, open, agent-based SIEM (Security Information and Event Management) system is designed to help companies defend themselves against more and more sophisticated attackers. Lakewatch combines security, IT and business data in a single, controlled AI-based detection and response environment. Thanks to open formats and an open ecosystem, Lakewatch enables the capture, storage and analysis of unprecedented amou…
With Lakewatch, Databricks presents an open SIEM based on Lakehouse. AI agents are designed to automatically detect and triactivate threats in data pools.
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