Advanced fraud detection solutions are restructuring the neobank development strategy from rapid acceleration to secure development.
Las Vegas, NV, United States, 03rd Mar 2026 – As financial crime continues to surge and neobanks prioritize real-time fraud-detection software, Goodfirms has released a vetted list of advanced fraud detection software that leverage AI-powered detection, real-time monitoring, and enhanced KYC verification.
The AI-powered software is designed to strengthen neobanking development security by proactively identifying suspicious activity, enabling faster threat response, and more accurate customer verification.
“This announcement of the top AI fraud-detection software list comes at a critical time for the fintech industry,” said Rachael Ray, Goodfirms spokesperson. “Fraud is not merely a minor problem for digital-first banks; it has become a serious global financial crisis. In 2025 alone, financial fraud cost the finance industry and global economy more than $10.5 trillion annually.”
As fraud incidents intensify, large neobanks are no longer handling fraud detection as some back-office chore anymore. Instead, they are leveraging it at the core of every operation, making real-time fraud detection a key part of their product strategy. Fraud detection software powered by AI has become an essential tool for monitoring systems to prevent losses and mitigate risks before they occur.
Real-world fraud cases reinforce this to move towards stronger digital banking fraud prevention.
- In 2021, Revolut reported losses of tens of millions due to fraud, as it lacked adequate automated fraud detection capabilities.
- Monzo faced scrutiny after a surge in authorized push payment fraud, which forced it to rethink investment in risk management and fraud detection systems.
- Chime, during its high-growth phase, was swamped with account takeover complaints, and that wave of fraud seriously shattered its customers’ trust. It shows that implementing real-time fraud detection systems would provide a secure neobank environment and strengthen customer trust.
Each case points to the same lesson: neobanks chasing growth without proper fraud-prevention infrastructure are a liability, not an achievement.
As neobanks are shifting from a reactive AML compliance function to a proactive growth strategy, decision-makers are seeking proven fraud detection solutions. This raises a critical question: How to choose fraud detection software? To address this challenge, Goodfirms has compiled a list of real-time AI fraud detection software to help secure neobanks' growth in an increasingly competitive and risk-sensitive environment.
“Neobanks must invest in smart fraud infrastructure with the latest advancements to automate the manual review management, enable real-time fraud detection, enhance security for financial transactions, and improve overall efficiency,” added Ray.
List of the Top Fraud Detection Software and Systems Curated by Goodfirms
The list of top fraud detection software includes Sardine, Feedzai, Unit21, Actimize, Seon, Shufti Pro, Hawk, Sanction Scanner, IDMERIT, Facctum, Signzy, AML RightSource, Sumsub, ThreatCop, Fraud.net, SDK.finance, ipQualityscore, Covery, minFraud, FingerPrint, BankWare, Simility, FraudLabs Pro, ThreatMetrix, and Vigilance.
Interested businesses who would like to explore the list further can browse the Goodfirms directory page, apply filters, and explore the top-reviewed and rated fraud detection software providers based on popular features, pricing models, devices supported, deployment, and company size.