Organization:RaptorX AI
Copyright:RaptorX AI
Credit:RaptorX AI
Prevent device and credential-based hijacks — before funds are moved.
Account Takeovers (ATOs) are the silent breach point for high-impact fraud.Fraudsters hijack sessions using stolen credentials, spoofed devices, or phishing links — often triggering unauthorized transfers, mPIN resets, or wallet redemptions before anyone notices.
By the time most systems react, the damage is done.RaptorX stops ATOs in motion — not just in hindsight.
Device, IP, or session looks “valid” but is subtly altered
Customers unknowingly approve fraud (via social engineering or OTP phishing)
Fraudsters mimic customer behavior using historic data
Traditional systems rely on static lists or reactive rules
Rapid movement from login → transaction → logout within seconds
We score changes in typing speed, navigation, and channel usage to spot behavioral deviations.
Partial device, IP, or geolocation mismatches reveal hidden session tampering and VPN masking.
Simultaneous logins and credential reuse across regions surface instantly through graph correlation.
Detects risky OTP requests, repeated failures, or social engineering-style misuse.
Connects devices, IPs, and session behaviors across users and geographies.
Updates risk scores mid-session if behavior shifts — even after login is granted.
Pattern-first detection: no need for labeled ATO examples
Unified entity graph connects sessions, devices, and accounts across time
Sub-300ms scoring across web, app, and third-party login flows
Integrates with fraud, AML, or auth stacks seamlessly
Explainable alerts for risk, fraud, and compliance teams
See how RaptorX prevents ATOs — even before the first transaction.