Stop writing rules in the dark. Threadlinqs gives detection engineers a library of 2,700+ production rules, MITRE coverage mapping, detection debt analysis, and a correlation engine that connects threats to gaps in your defenses.
Detection engineers know their environment, but intelligence is fragmented across vendor reports, blog posts, and internal tickets. Turning that intelligence into tested, deployable rules is slow and error-prone.
A new threat report drops. You read 15 pages, extract IOCs manually, research the MITRE techniques, then hand-write SPL or KQL. Hours of work for a single detection that may already exist elsewhere.
You have hundreds of rules in production, but which MITRE techniques are actually covered? Which high-severity threats have zero detection? Without a coverage map, you are flying blind on defensive posture.
Your team runs Splunk in one environment and Sentinel in another. Sigma promises portability but conversion is imperfect. You end up maintaining parallel rule sets that drift apart over time.
Every threat without a corresponding detection is debt. Every rule with outdated logic is debt. Without a system to track and score this debt, critical gaps persist for months unnoticed.
Every detection in Threadlinqs is available in all three major formats. Filter, compare, and export from a single interface.
Splunk Processing Language. Ready for savedsearches.conf or the search bar. Includes index, sourcetype, and macro references.
Kusto Query Language for Microsoft Sentinel. Analytics rule format with table references and time windows.
Vendor-agnostic YAML format. Convert to any SIEM backend via sigma-cli. Includes logsource and detection sections.
The detection library is not a dump of rules. It is a structured, searchable collection with multi-select filters across type, severity, confidence, MITRE tactic, index, sourcetype, author, and threat actor. Find exactly the rules you need in seconds.
Each filter group shows real-time counts. Toggle multiple values simultaneously. Results update instantly. AND/OR logic between filter groups for precise queries.
Every detection is mapped to one or more MITRE ATT&CK techniques. The coverage map visualizes your detection posture across all 14 tactics, highlighting gaps where threats exist but detections do not.
Heatmap visualization by tactic density. Expandable technique details showing linked threats and detections. Export coverage reports for compliance and leadership briefings.
The advanced correlation engine calculates a detection debt score for every threat. High-severity threats with zero detections surface at the top. You see exactly where to invest your next sprint.
Split view: uncovered threats sorted by debt score on the left, covered threats on the right. Each entry shows severity, MITRE technique count, IOC count, and days since publication.
Seven correlation engines run in parallel to surface connections invisible in isolation: MITRE heatmap overlap, adversary infrastructure sharing, IOC consensus scoring, CVE velocity tracking, attribution networks, and enrichment health.
From gap identification to rule deployment, all in one session.
SPL rules include index and sourcetype references for Splunk Enterprise and Splunk Cloud. KQL rules reference Microsoft Sentinel tables (SecurityEvent, DeviceProcessEvents, etc.). Sigma rules follow the standard specification and convert via sigma-cli to 30+ backends including QRadar, Elastic, Chronicle, and CrowdStrike LogScale.
Free tier includes the full detection library and MITRE coverage map. Upgrade to copy, export, and access the correlation engine.
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