One unified system for threat intelligence, detection engineering, adversary attribution, and attack validation — built for SOC teams, detection engineers, and threat hunters who need to move from a raw report to a deployed detection without switching tools.
Most vendors sell one slice of the problem: a feed of indicators, a library of generic rules, or a dossier on an actor with no way to test whether your stack would actually catch them. Threadlinqs treats those as one workflow instead of three separate products. A tracked threat carries its own indicators, its own MITRE ATT&CK mapping, its own actor attribution where the evidence supports it, and — where applicable — detection logic you can deploy the same day, in the query language your SIEM already speaks.
The six surfaces below are the platform. Each one is usable on its own — you can pull detection rules without touching attribution, or explore actor profiles without ever opening a SIEM — but they share the same underlying data, so a pivot from a CVE to the actors exploiting it to the detections that catch them stays inside one session instead of six browser tabs.
Six surfaces, one shared dataset.
Real-time tracked threats, IOC feeds, enriched CVEs with CVSS/EPSS/KEV context, and automated daily debriefs for SOC analysts.
Production-ready detection rules in SPL, KQL, and Sigma, mapped to MITRE ATT&CK and ready to deploy to your SIEM.
Adversary dossiers with nation-state mapping, technique profiling, IOC correlation, and cross-actor correlation timelines.
Drill from tactic to technique to threat to detection in one split-panel coverage view across the enterprise matrix.
Red team-style simulations in Windows CMD, Linux Bash, and Python, with technique and detection validation in a sandbox.
Connect AI coding agents to live threat intelligence over the Model Context Protocol — works with Claude Code, Cursor, and more.
Intelligence that stops at "here is an indicator" leaves the hard part — turning it into something your SIEM can actually alert on — to the analyst reading the report. Threadlinqs closes that gap by shipping the detection alongside the threat: the same page that describes a campaign also carries the query, the technique mapping, and the actor context behind it. That is the difference between a feed you read and a platform you operate from.
Every surface above is reachable from the Blue tier for evaluation, with deeper attribution, correlation, and simulation depth unlocked on paid tiers. See pricing for the full tier breakdown, or browse resources for role-based guides and platform comparisons.
Real-time threat feed, detection library, and MITRE coverage map — free on the Blue tier.
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