Flashpoint operates a threat intelligence platform that ingests data from deep web, dark web, open web, and social media sources, then translates the raw signal into actionable intelligence for security teams. The core work involves continuous monitoring across cyber threats, vulnerabilities, fraud activity, and physical security risks - a scope that demands both breadth and depth.
The technical architecture rests on collaboration between multilingual human analysts and AI augmentation. Analysts work in shifts to maintain 24/7 coverage, which is necessary for catching emerging threats that don't respect business hours. The human-AI pairing addresses a hard problem in threat intelligence: raw data from distributed sources requires contextual judgment to separate signal from noise, and that judgment still depends on experienced analysts who understand adversary tactics, regional fraud schemes, and the specific threat landscape relevant to each client.
Flashpoint serves mission-critical organizations worldwide, handling intelligence across three primary domains: cyber threat monitoring (including vulnerability tracking), fraud detection and tracking, and physical security risk intelligence. The output feeds directly into security posture decisions, which means the intelligence must be both comprehensive and precise - false positives waste analyst cycles downstream, while missed signals create operational risk.