# Databricks — Scaling Security Alert Triage With Specialized Agents on Databricks

- Company: Databricks (databricks.com)
- Announced: 2026-07-06T18:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.databricks.com/blog/scaling-security-alert-triage-specialized-agents-databricks
- Record: https://forck.live/items/17507-scaling-security-alert-triage-with-specialized-agents-on-databricks
- Subject: Mosaic AI

Security teams can't investigate every alert, so low-severity ones — the highest-volume, highest-noise category — go largely uninvestigated. That makes them an ideal target for agentic triage. We built 17 source-specific triage agents, each tuned to one alert source. They run in real time on Spark Structured Streaming, with deterministic filtering up front and a shared Threat Intelligence agent for IOC enrichment. The result: Now every low-severity alert gets triaged automatically — at a 10x higher true-positive rate than HIGH/MEDIUM escalations, saving 6,500+ analyst hours in the first 30 days. What if low severity didn't mean low priority? Databricks ingests petabytes of security logs from a variety of sources including endpoint security tools, cloud activity logs, and threat intelligence feeds into our security lakehouse. Our detection architecture continuously monitors this data for malicious activity. Every identified signal lands in a centralized alerts table, where it awaits review by an Incident Response (IR) analyst. Finding a real threat in thousands of daily security alerts is the classic needle-in-a-haystack problem. …

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