Account takeovers
Catch credential stuffing and session hijacking with behavioural analysis and device linking.
TraitX identifies every visitor with 99.5% accuracy and scores risk in under 100 ms. Stop account takeovers, bot attacks and multi-accounting with one lightweight SDK.
Analysing your session…
Locating your session
Every request tells a story. TraitX reads it in under 100 milliseconds, before your server ever sees it, and turns 50 signals into one decision.
Scroll to watch the pipeline. Every request passes through four stages in under 100 milliseconds.
The SDK gathers 50+ device, browser, network and behavioural signals without friction for the user.
Signals converge into a stable TraitX ID that survives cookies clearing, incognito mode and VPNs.
Velocity rules, ML models and threat intelligence weigh each signal into a 0-100 risk score.
Your app approves, challenges or blocks the request with a single API response.
Submit the form. TraitX evaluates the session with the real risk API and explains every signal it finds.
What's happening: TraitX analyses 50+ signals before the request ever reaches your server.
Score calculation: Combines device signals, behavioural patterns and velocity rules. Scores above 70 indicate high fraud risk.
One SDK, one API call, one decision. TraitX packages the entire fraud stack into a bento of capabilities.
A persistent TraitX ID built from 50+ hardware, browser and network signals. Survives cookie wipes, incognito and VPNs.
Keystroke cadence, pointer paths and scroll rhythm separate humans from scripts in real time.
VPN, proxy, Tor, data-centre and abuse-list detection with geolocation consistency checks.
Rate-limit accounts, devices and IPs across any time window with no code changes.
A single POST returns a score, the signals behind it and a recommended action.
Drop-in libraries with a 12 KB web bundle. Same identity across every platform.
No PII stored, encrypted at rest and in transit, data residency in the Kingdom.
Search sessions, link devices to accounts, replay signals and tune rules in one place.
Detection models tuned to each threat type, sharing one identity layer.
Catch credential stuffing and session hijacking with behavioural analysis and device linking.
Stop bot-driven signups and synthetic identities before they pollute your user base.
Link devices across accounts to prevent promo abuse, referral fraud and ToS violations.
Detect card testing, stolen cards and chargeback fraud with real-time transaction analysis.
Block scrapers, crawlers and malicious automation without hurting real users.
Stop spam, fake reviews and malicious content with pattern recognition and velocity limits.
One SDK. One API call. One decision.
Tell us about your fraud problem. We reply within one business day.