Case Study: Snowflake achieves faster threat detection and reduced SOC noise with Hunters.ai

Achieving better SOC Efficiency with Hunters XDR

Snowflake, the Data Cloud platform that manages over 250PB of customer data, struggled with long detection and triage times caused by siloed monitoring tools, analyst false-positive burnout, manual investigations, and a small SOC team. To overcome these challenges, Snowflake partnered with Hunters.ai and deployed Hunters XDR to unify telemetry across endpoint, cloud, and SaaS surfaces and accelerate threat detection and response.

Hunters.ai implemented Hunters XDR to autonomously correlate and contextualize signals across GCP, Azure, endpoints and applications, delivering a 360° view and expert services without reworking existing workflows. The result was faster, more agile SOC operations—triage times reduced to minutes instead of hours or days—substantially less noise through high‑fidelity “Attack Stories,” and the ability to connect the dots before breaches reach production.

Snowflake

Mario Duarte

Vice President Security