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
Datadog achieves ISO 42001 certification for responsible AI
Datadog achieves ISO 42001 certification for responsible AI

Datadog | The Monitor blog Mar 26, 2026 28 views

2
Understand session replays faster with AI summaries and smart chapters
Understand session replays faster with AI summaries and smart chapters

Datadog | The Monitor blog Apr 2, 2026 23 views

3
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 21 views

4
Integrate Recorded Future threat intelligence with Datadog Cloud SIEM
Integrate Recorded Future threat intelligence with Datadog Cloud SIEM

Datadog | The Monitor blog Apr 9, 2026 19 views

5
Annotate traces to improve LLM quality with Datadog LLM Observability
Annotate traces to improve LLM quality with Datadog LLM Observability

Datadog | The Monitor blog Mar 23, 2026 19 views