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The fraud and risk management industry is rapidly evolving, driven by increasing digital transactions and sophisticated cyber threats. AI and ML are critical for real-time detection and prevention, moving beyond traditional rule-based systems. Regulatory compliance (AML/BSA) remains a major driver, with a growing demand for integrated, scalable solutions that enhance operational efficiency while maintaining customer experience. Focus is on proactive, adaptive defenses.
Total Assets Under Management (AUM)
Fraud Detection and Prevention Market Size in United States
~Approx. 13.5 Billion USD (2023)
(15-20% CAGR)
- Driven by increasing digital transactions.
- Rise of sophisticated fraud schemes.
- Growing regulatory pressure for financial institutions.
13.5 Billion USD
Generative AI can create synthetic fraud scenarios to train models, anticipate new attack vectors, and simulate 'good' customer behavior for more robust anomaly detection.
Homomorphic Encryption allows computations on encrypted data without decrypting it, enabling secure data collaboration and privacy-preserving fraud detection across institutions.
Explainable AI provides transparency into AI-driven fraud decisions, crucial for regulatory compliance, auditability, and building trust in automated systems.
Effective January 1, 2024, most small and mid-sized companies in the US must report beneficial ownership information to FinCEN to combat illicit finance.
This policy increases the need for enhanced identity verification and Know Your Business (KYB) processes for financial institutions, directly impacting DataVisor's AML/KYB solutions.
Launched in July 2023, FedNow is a new instant payment infrastructure that allows financial institutions to offer real-time payment services to their customers 24/7.
The acceleration of payment speeds increases the urgency for real-time fraud detection and prevention solutions to mitigate immediate fraud losses, a core offering of DataVisor.
Issued in August 2022, this CFPB circular clarifies that digital marketing practices for financial products can be UDAAPs, including those used to target vulnerable consumers.
While not direct fraud, this emphasizes the importance of responsible customer onboarding and marketing, which aligns with DataVisor's focus on safely onboarding 'good' customers and preventing policy abuse.
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