Traditional approach With traditional methods and rule-based solutions in the market, too many hits are generated, and fraud detection is reactive. What is needed is a proactive solution that efficiently manages
fraud and unlocks new fraud types.
NetGuardians approach Leveraging on smarter AI, NetGuardians’ platform NG|Screener detects fraud and identifies emerging digital banking fraud cases with fewer false positives.
Using pre-defined AI risk models, banks can tackle digital banking fraud challenges related to eBanking/mBanking sessions redirected by malwares, hijacked by hackers, taken over by identity theft and others.
With traditional methods in the market relying on static rules, manual controls, or sampling, it takes 18 months on average to detect internal fraud. What is needed is a new technological model that detects and
prevents internal fraud before it happens.
Leveraging on smarter AI, NetGuardians’ platform NG|Screener tracks behavior of all employees including front-office/back-office and privileged users (database administrators & IT administrators) as well customers
to identify suspicious transactions.
Whenever there is a fraudulent transaction, which is out-of-profile, it blocks the transaction and triggers meaningful alerts.
Banks implementing NetGuardians’ AI solution significantly improved internal fraud management by reducing the number of false positives, preventing fraud in a timely manner, and discovering new fraud types.