Fraud imposes a large and rising cost on businesses, with cybercrime damages projected to reach $10.5 trillion by 2025. While banking and finance remain frequent targets, fraud is increasingly aimed at any online service that exchanges “monetary equivalents,” including insurance, gaming, telecom, healthcare, crypto exchanges, government assistance, travel and hospitality, and real estate. As traditional financial institutions harden defenses, fraudsters shift to targets of opportunity and continually evolve their tactics, techniques, and procedures.
Two dominant fraud categories are Account Takeover (ATO), often driven by breached credentials, credential stuffing, malware-based interception, and remote access tools; and New Account Fraud (NAF)/Account Opening fraud, which leverages stolen or partially assembled personally identifiable information to create synthetic identities for promotions, instant loans, or mule accounts. Core mitigation approaches rely on real-time risk analytics and decisioning, including risk-based MFA informed by credential, device, and behavioral intelligence, plus identity vetting at registration and bot management.
Deduce, a New York startup founded in 2019 and focused on the U.S. market, provides fraud-reduction intelligence via an API, using JavaScript telemetry collection and cloud analysis to return risk recommendations and rationales. Its Deduce Identity Network spans over 150,000 websites, 400 million U.S. identity profiles, and more than 1.2 billion daily activities. Two products sit atop this network: Identity Insights, which enriches fraud platforms with identity and credential context and delivers raw signals, a risk score, and “treatments” (Trust, Challenge, Review, Block); and Customer Alerts, which prompts end users to verify anomalous logins or transactions, feeding real-time confirmation signals back into the network to strengthen detection for all customers.
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