Stop unauthorized remote access fraud by detecting login attempts from suspicious IPs, virtual machines, or remote desktop tools that mimic legitimate users.

Block credential stuffing attacks by identifying bot patterns, repeated failed logins, and reused credentials with CrossClassify’s behavior-based scoring engine.

Detect and mitigate phishing-based account takeovers by analyzing unusual access behavior, unfamiliar devices, and risky location changes during login.

Identify DDoS attacks used as ATO distractions by monitoring simultaneous high-traffic events and alerting against credential testing during diversion attempts.

Prevent SIM swapping and device-based account fraud by scoring login attempts with telco metadata, device fingerprinting, and biometric inconsistencies.

Detect malware-based token theft and hijacked sessions by analyzing token anomalies, user behavior mismatches, and suspicious session refreshes.

Stop impersonation attacks and fraudulent sessions by detecting behavioral deviations and session anomalies that reveal fake or cloned user identities.

CrossClassify identifies smishing and keylogging attempts by analyzing typing patterns, input behavior, and compromised device indicators in real-time.

Prevent session hijacking attacks by continuously monitoring behavior, device shifts, and network anomalies throughout the user session lifecycle.