Financial crime has become automated, coordinated, and AI-driven. Traditional fraud prevention approaches, such as rules-based systems and post-transaction analysis, are no longer sufficient to detect attacks before funds move and losses materialize. Datos Insights’ 2026 Impact Awards in Fraud recognize nine finalists and winners spanning eight vendors whose technologies address structural gaps in legacy fraud defenses. These solutions leverage advanced machine learning, behavioral analytics, device intelligence, network-level pattern recognition, and agentic AI to shift detection from reactive, transaction-level review to proactive, session-level and network-level intervention. This report examines the innovations and solutions that represent the leading edge of fraud prevention across four strategic categories: authentication, transaction decisioning, identity risk intelligence, and scam and authorized push payment (APP) fraud prevention.
The winners of the 2026 Impact Awards in Fraud follow:
- Best Authentication Innovation Category: Experian and Darwinium
- Best Transaction Fraud Monitoring and Decisioning Category: Casap, Oscilar, and Pipl
- Best Identity Risk Intelligence Category: Plaid and Prove
- Best Scam and APP Fraud Prevention Category: Darwinium, Charm Security, and Sardine
Clients of Datos Insights’ Fraud & AML service can download this report.
About the Author
Jim Mortensen
Jim Mortensen is a Strategic Advisor in Datos Insights’ Fraud & AML practice, covering identity, fraud, and data security issues. His coverage includes the trends associated with fraud in the financial services sector, solutions to detect and mitigate fraud, and the impacts of AI and deepfakes on fraud threats and remediation. Jim has been in the financial services industry for...