Databricks is expanding its portfolio into cybersecurity with the launch of Lakewatch, a new offering aimed at automating and enhancing security measures using large language models (LLMs). Currently adopted by companies like Adobe and National Australia Bank, Lakewatch represents a strategic pivot for Databricks, which has historically focused on data processing and generative AI. CEO Ali Ghodsi emphasized that the maturation of LLMs enables significant automation in cybersecurity, positioning Lakewatch as a potential disruptor to traditional security information and event management (SIEM) services.
This move is particularly relevant as it comes amid growing investor concerns about LLMs threatening established cybersecurity firms, a sentiment reflected in the recent declines of cybersecurity-focused ETFs. Databricks’ innovative pricing model, which charges based on software performance rather than data storage, could make advanced cybersecurity solutions more accessible and appealing to organizations grappling with increasing threats.
For investors, Lakewatch’s success could bolster Databricks’ valuation ahead of a potential IPO and signal a shift in how cybersecurity solutions are delivered in the market.
Source: cnbc.com