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Mars Security Launches Real-Time Intel-to-Detection Engine That Turns Live Threat Intelligence Into Backtested Detections in Minutes

Cyber Security Newsby Cybernewswire ()4 min read3 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

Mars Security launched Real-Time Intel-Based Detection, converting advisories into MITRE ATT&CK-mapped, backtested detection rules for CrowdStrike, Wiz, and Splunk within minutes.

The capability turns newly published threat intelligence from CISA, Mandiant, Unit 42, and Microsoft Threat Intelligence into validated detection rules within minutes, each backtested against 30 days of the customer's own telemetry before deployment. Rules are written in native query languages across CrowdStrike Falcon, Wiz, Splunk, firewalls, Linux Sysmon, identity providers, AWS telemetry, and data lakes such as Snowflake and Databricks, with no data ingestion or stack changes. The feature is available at no additional cost to existing customers and on AWS Marketplace. Mars also flags detection coverage gaps and extends monitoring to credentials leaked by AI coding agents.

Key facts
  • Rules carry severity ratings and require analyst approval before going live
  • Backtesting shows how many events each rule would have matched and its false positives
  • Coverage-gap recommendations include AWS CloudTrail tampering, Route 53 abuse, pass-the-hash, and Microsoft Graph activity
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From the original article

4 min read at cybersecuritynews.com

New York, NY, United States, September 8th, 2026, CyberNewswire Mars Security, the autonomous threat hunting and detection engineering platform founded by offensive security veterans, today announced Real-Time Intel-Based Detection, a capability that turns newly published threat intelligence into validated, ready-to-deploy detection rules within minutes of release.

Cyber Security News

By Cybernewswire · cybersecuritynews.com

Read the full article at Cyber Security News

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.