Real-time Monitoring
Continuous collection across darknet markets, forums, and closed channels with signal scoring and de-duplication.
We collect, normalize, and analyze high-risk ecosystems—markets, forums, brokers, and closed-channel chatter— delivering finished intelligence to security teams, counsel, and investigators.
Continuous collection across darknet markets, forums, and closed channels with signal scoring and de-duplication.
OSINT/DFIR research that links entities, wallets, vendors, and infrastructure using evidence-grade methods.
Early detection of breach data, ransomware posts, builder/tooling trade, and exploit chatter.
Direct integration to your SIEM/SOAR via JSON feeds, webhooks, and customizable enrichment endpoints.
Modular services that plug into your investigations, incident response, and risk programs.
Tiered feeds (Indicators, Entities, Narratives) with severity, confidence, and provenance metadata.
Learn moreResearch memos, expert declarations, and evidence handling suitable for counsel and regulators.
Learn moreCoordinated actions to remove illicit listings, reduce dox risk, and manage breach fallout.
Learn moreTime-versioned snapshots of posts, threads, and markets for long-horizon investigations.
Learn moreFrom collection to finished intelligence, each step preserves evidentiary value.
Crawlers + human recon capture posts, listings, and chatter; artifacts are hashed and normalized.
Entity linking, wallet clustering, file triage, and risk scoring with tunable thresholds.
Feeds, dashboards, and counsel-ready briefs with citations, screenshots, and timelines.
Redacted samples. Full archive available for clients.
We observe strict legal and ethical constraints. No participation in illicit trade; no intrusion; no facilitation of harm. Collection is limited to open-source intelligence and authorized environments. Requests are screened for lawful purpose. Chain-of-custody and privacy are first-class concerns.
Request access, a briefing, or integration details. We respond to qualified inquiries only.