Monitor Carbon Black Defense logs with Datadog
Datadog | The Monitor blog

Monitor Carbon Black Defense logs with Datadog


Summary

This Datadog article explains how to use Historical Jobs within Cloud SIEM to rigorously test and refine detection rules before deploying them to live monitoring. By running rules against past log data, users can identify false positives, ensure accurate alerting, and optimize rule performance without impacting production systems. This proactive backtesting process ultimately improves the effectiveness and reliability of security monitoring.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
DASH 2026: Guide to Datadog’s newest announcements
DASH 2026: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 206 views

2
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 179 views

3
Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
4
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 108 views