![]() They use stolen and synthetic data to open new credit accounts, hijack existing accounts for payment and personal info. Fraudsters are leveraging the latest tools and techniques to emulate devices and mimic user behavior, disrupt risk models through adversarial AI, and automate attacks by testing millions of stolen identities in seconds. There’s no doubt the offensive team holds much of the advantage today. ![]() Deep fakes and adversarial AI: an armory of innovation Organizations need a better way: risk-based journey orchestration that works seamlessly across the entire customer journey for better-informed decision making. They’re inflexible, unwieldy, slow to deploy and update, and add needless customer friction-which can end up costing businesses more than potential fraud losses. Legacy fraud and risk solutions rely on incomplete, siloed intelligence extracted from “point-in-time” interactions. The real cost to businesses will be many times higher. US consumers reporting losing nearly $6bn to scammers in 2021 alone, a 70% increase on the previous year. Over two-thirds (68%) of businesses face the challenge of fraudsters adapting faster than their current tooling according to our latest research. Cybersecurity and fraud teams have been locked in a technology arms race with their adversaries for years.
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