Cloud, data, and AI have reshaped how modern companies build. Security teams now face the other side of that transformation: more data, wider attack surfaces, faster-moving threats, and rising expectations for response time.
Today,
@databricks announced its intent to acquire Panther, a leading AI SOC platform, to advance its security lakehouse vision. Since partnering with
@runpanther in their Series B in 2021, we have watched
@jack_naglieri and the team reimagine what security infrastructure looks like when it is built for scale, context, and action.
We first met Jack when he was leading the StreamAlert open source project at Airbnb, building internal tooling to solve what legacy SIEM products could not: the scale, cost, and complexity of cloud-native environments. That conviction became Panther—a cloud-native platform combining a security data lake, more than 100 integrations, detection-as-code, and agentic SOC workflows that help teams automate triage and investigation.
The security gap today is not only a detection gap. It is a data and workflow gap. Many organizations analyze only a fraction of their security data, and even when alerts surface, teams often lack the context and automation to respond in time.
As a long-term partner to Databricks, we have seen the company help define the modern data and AI stack at enterprise scale. Through the acquisition of Panther, we believe Databricks can bring that same foundation to security, helping organizations unify security data, detect more threats, investigate every alert, and give defenders stronger footing in the AI era.
databricks.com/company/newsr…
Disclaimer:
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