// about

About Threadlinqs Intelligence

A unified threat intelligence, detection engineering, and adversary research platform — built so security teams can move from raw intelligence to deployable detection in minutes, not days.

550+threats_tracked
15k+indicators
525+enriched_cves
166actors_tracked

What Threadlinqs Intelligence Does

Threadlinqs Intelligence exists to close the gap between knowing about a threat and being able to detect it. Most security teams have access to plenty of threat reports — what they lack is the time to translate that reporting into production detection logic, validate it against their stack, and keep it current as adversaries evolve.

We unify three disciplines that are usually fragmented across separate tools and teams into a single operational platform:

threat_intelligence

Continuously monitored threat reporting curated from 200+ sources, enriched with CVE/CWE context, CVSS and EPSS scoring, CISA KEV cross-reference, and threat-actor attribution.

detection_engineering

Every threat ships with production-ready detection rules in Splunk SPL, Microsoft KQL, and Sigma, mapped to MITRE ATT&CK so you can deploy and measure coverage immediately.

adversary_research

Threat-actor profiles, attack simulations, C2 infrastructure tracking, and cross-threat correlation that surface shared infrastructure and campaign patterns.


How Our Intelligence Is Produced & Reviewed

Threadlinqs operates a hybrid intelligence pipeline. New threats are surfaced and an initial structured report — summary, IOCs, MITRE mapping, CVE enrichment, and draft detection logic — is published in near real time so the feed stays current with a fast-moving landscape.

Published reporting is not left unattended. Threats posted to the platform go through a human-in-the-loop review after they are posted, carried out by the Threadlinqs team of detection engineers and threat intelligence analysts. Each report is then revalidated approximately one month after publication — re-checking accuracy, the continued validity of indicators, detection efficacy, and any change in exploitation status or vendor remediation.

Editorial accountability. We publish quickly, then verify deliberately. Our full sourcing standards, AI-assistance disclosure, human review process, the one-month revalidation cycle, and corrections policy are documented on our Editorial Standards & AI Transparency page.

Who Uses Threadlinqs

soc_analysts

Triage faster with severity-classified threats, enriched CVEs, and ready-to-deploy detections — no manual translation between intelligence and SIEM.

detection_engineers

Browse and export SPL, KQL, and Sigma rules mapped to MITRE ATT&CK, and close coverage gaps using technique-frequency analysis.

threat_hunters

Pivot across IOCs, actor infrastructure, and correlation engines to find shared infrastructure and emerging campaigns.

threat_intel_teams

Track 166 threat actors across 32 nations with attribution, arsenal analysis, and daily intelligence debriefs delivered to the inbox.


The Team Behind the Platform

Threadlinqs Intelligence is built and maintained by a team of detection engineers and threat intelligence analysts. The team designs the detection-rule standards, performs the human-in-the-loop review of published threats, runs the one-month revalidation cycle, and curates the source set the platform draws from.

For editorial questions, corrections, partnerships, or responsible-disclosure reports, reach the team through our contact page.

Explore the Platform

The real-time threat feed, detection library, and MITRE coverage map are free on the Blue tier. No credit card required.

[ open_platform ] [ read_research ]