Databricks said on June 16 it will acquire Panther Labs, a startup that offers an AI-based cyberattack detection platform.

The deal value was not disclosed.

Panther uses filters that remove unnecessary parts from system log data, cutting data collection costs while helping secure more data needed for intrusion analysis.

It organizes collected data into an easy-to-analyze format and applies customers’ pre-built detection code to identify signs of threats within the data.

It can use AI tools to create detection code with natural-language prompts. If false positives occur, another AI module finds the cause and proposes code changes.

For each detected threat, Panther generates a natural-language description and enriches the data with external threat intelligence information. This can prioritise vulnerabilities that are being targeted by actual hackers.

Databricks plans to expand intrusion detection capabilities by combining the technology with Lakewatch, its cybersecurity log collection and analysis product launched in March. Databricks co-founder and CEO Ali Ghodsi (알리 고드시) said, "Panther strengthens our ability to analyze all data and automate SOC workflows."

Panther is the third cybersecurity startup Databricks has acquired this year. Databricks previously acquired Antimatter, a data encryption specialist, and SiftD, an incident response automation platform.