SEON

Analyzes email, phone, IP, and social data from 300+ platforms in real time to detect synthetic identities, bots, and fraud rings before onboarding.

Collects and analyzes device-level signals to detect multi-accounting, account takeovers, emulator use, and shared infrastructure among fraud rings.

Combines rules-based and AI-driven scoring using 900+ first-party signals to provide transparent, explainable risk assessments in real time.

Integrates customer screening, payment screening, transaction monitoring, case management, and regulatory reporting into one platform.

Automates alert assignment, summarizes findings, maintains audit trails, and reduces manual review time by up to 50%.

Drag-and-drop workflow builder allows combining fraud checks, identity verification, and AML screening into automated journeys with customizable rules.

Auto-fills SAR, STR, and Form 8300 reports, drafts SAR narratives, files directly to FinCEN and FIUs, and tracks report statuses.

Screens payments and monitors transactions for fraud and AML risks using transparent rules and AI scoring with advanced velocity rules.