Fintech Review

MAY 4, 2025

Persona Provides fully customisable identity verification flows with options for ID checks, biometrics, and database lookups. Onfido Offers AI-powered document verification, facial biometrics, and database screening through easy-to-integrate APIs. Best for : Platforms prioritising fraud prevention without sacrificing user experience.

Payment APIs and Integration 76

Payment APIs and Integration FinTech Multi-Currency Embedded Finance 76

The Paypers

JUNE 25, 2025

This rich data facilitates the development of augmented methods for improving fraud detection and reduction and supports future enhancements. The sandbox will conform to ISO 20022 standards, introducing various new features enabled by enriched data, such as optimised data flow alongside transactions.

Visa 59

Visa ISO 20022 Payment APIs and Integration Payments 59

Nanonets

NOVEMBER 18, 2024

9 Ocrolus AI-powered processing with fraud detection 4.6/5 With easy integration into ERP, CRM, and database systems, Nanonets enables companies to reduce manual effort, automate repetitive tasks, and improve overall efficiency. 5 No Custom pricing 43.8 2 Nanonets 98% data accuracy with AI and highly customizable workflows 4.8/5

Automation 52

Automation Volume AI API 52

Nanonets

NOVEMBER 23, 2024

Export options: Integrates with CRMs, WMS, databases, or exports as XLS/CSV/XML. Receipt validation: Validates receipts for loyalty programs and fraud detection. Multi-language: Supports 100+ languages, including Polish and Czech. Fast processing: Reduces time per page from minutes to seconds.

Multi-Currency 52

Multi-Currency API Automation Online and Mobile Banking 52

Fintech News

FEBRUARY 15, 2024

The rise of real-time fraud detection According to these experts, 2024 will see the rise of real-time fraud detection, driven by advancements in AI and the escalating challenge of fraud. At the same time, the advent of real-time payments will prompt the need for real-time fraud detection and prevention.

Innovation 124

Innovation FinTech Cross-Border Payments Cross-Border 124

Wharton Fintech

FEBRUARY 29, 2024

This innovation enables banks, fintechs, and anti-fraud platforms to authorize more transactions, detect and prevent fraud, and create innovative products and services. Creating Spade’s comprehensive merchant database required forming robust partnerships across the fintech and data ecosystem.

Database 130

Database Fraud Detection Use Case Authorization 130

Fintech Finance

SEPTEMBER 17, 2024

Its unique blend of biometric, document, and database checks, is delivered within a GDPR-compliant framework. He says, “This strategic partnership will allow CLOWD9 clients to access both a compelling end-to-end identity solution and an AML screening solution with advanced AI-fraud detection capabilities.”

Process 95

Process Verification Money Laundering AML 95

Payments Source

MAY 13, 2020

Even before the coronavirus outbreak, cybercriminals were shifting their attention away from point-of-sale terminals — but the retail industry still absorbs the most attacks seeking to compromise databases or networks.

EMV 95

EMV Database Compromise Fraud Detection 95

The Fintech Times

SEPTEMBER 19, 2024

Furthermore, its blend of biometric, document, and database checks is delivered within a GDPR-compliant framework. He says: “This strategic partnership will allow CLOWD9 clients to access both a compelling end-to-end identity solution and an AML screening solution with advanced AI-fraud detection capabilities.”

Verification 64

Verification Process AML Fraud Detection 64

Finovate

SEPTEMBER 18, 2024

. “This strategic partnership will allow CLOWD9 clients to access both a compelling end-to-end identity solution and an AML screening solution with advanced AI-fraud detection capabilities,” CLOWD9 CEO and Co-Founder Suresh Vaghjiani said.

Fraud Detection 64

Fraud Detection Verification Payment APIs and Integration OFAC 64

Segpay

NOVEMBER 26, 2024

typing speed, location data), with authoritative databases or records. Identity and Fraud Report” by Experian emphasizes the evolving fraud landscape and the necessity for businesses to implement multi-faceted digital identity verification strategies. This process involves comparing official documents (e.g.,

Verification 111

Verification Identity Theft Money Laundering Due Diligence 111

Fintech Labs Insights

OCTOBER 6, 2015

The Aerospike high performance NoSQL database is a key value store written explicitly to run in RAM and Flash to deliver speed at scale. Gartner named Aerospike a visionary in 2014 Magic Quadrant for Operational Database Management Systems. Leading innovators in financial services trust Aerospike to power web-scale workloads.

Fraud Detection 25

Fraud Detection Database Innovation Transactions 25

The Finance Weekly

NOVEMBER 20, 2023

Error and Fraud Detection Ensuring the accuracy and reliability of financial data is crucial for FP&A professionals. Instead of manually collecting data from various sources like systems, databases, and spreadsheets, AI does this task automatically. Top 8 AI Uses in Finance AI/ML can enhance FP&A operations in many ways.

AI 130

AI Finance SWIFT Risk 130

The Payments Association

OCTOBER 14, 2024

While some argue that the reduced cap will alleviate the financial strain on smaller PSPs, others, such as fraud prevention experts, feel it weakens the push for stronger fraud detection systems within the industry. Regular reviews and updates of these measures are expected to adapt to evolving fraud tactics​.

Caps 88

Caps Fraud Prevention Fraud Detection Scams 88

Trade Credit & Liquidity Management

MAY 27, 2025

As the global marketplace grows more interconnected and transactions shift online, businesses face an unprecedented wave of commercial fraud attempts, from sophisticated “bust-out” schemes to synthetic identity fraud that blends real and fabricated data. Please consider becoming a paid subscriber. billion in 2022 to $252.7

Fraud Prevention 52

Fraud Prevention Fraud Detection Verification Risk Assessment 52

PYMNTS

MARCH 2, 2020

A supervised ML system could be given a digital fraud profile and search a database to find transactions that match it, for example. Unsupervised ML does not require set outcomes and relies on its own rules to detect patterns and anomalies, making it better equipped to comb through cloud environments’ much larger data sets.

Security 69

Security Fraud Detection Breach Data Breach 69

Nanonets

JANUARY 17, 2024

The system will then validate the extracted data against predefined rules and databases. This could include checking policy details, confirming accident details with third-party databases, and verifying cost estimates. This instantly flags any discrepancies for review before claims move further, reducing fraud and errors.

AI 59

AI Process Database Fraud Detection 59

PYMNTS

FEBRUARY 26, 2020

This also means fraud runs relatively unchecked among quick-service restaurants (QSRs), with total fraud losses on an average order of $15 reaching as high as $36.25. Many AI-based fraud detection solutions also leverage machine learning (ML), which allows the system to learn on its own. Selecting the Target.

Credential 56

Credential AI Account Takeovers Fraud Detection 56

Nanonets

AUGUST 16, 2024

Artificial Intelligence (AI) AI is particularly brilliant at handling complex tasks like fraud detection, risk assessment, and claims adjudication. Advanced AI systems can cross-check claim details against policy data, third-party databases, and historical claim records to detect anomalies and assess the validity of claims.

Automation 52

Automation Process Fraud Detection Payment APIs and Integration 52

Trade Credit & Liquidity Management

MARCH 27, 2025

an accounts receivable management technology provider, announced the integration of advanced fraud security and applicant verification capabilities into its credit application process. Bectran previously announced a partnership with GIACT, to enhance ACH fraud prevention.

Identity Theft 40

Identity Theft Fraud Prevention Fraud Detection Verification 40

Nanonets

APRIL 24, 2023

Automate your mortgage processing, underwriting, fraud detection, bank reconciliations or accounting processes with a ready-to-use custom workflow. Fraud detection software: Some lenders use specialized fraud detection software to scan bank statements for patterns or characteristics that are commonly associated with fake statements.

Fraud Detection 52

Fraud Detection Automation Underwriting Reconciliation 52

FICO

AUGUST 6, 2018

Similar databases exist for valid email addresses, device IDs, and identity details associated with fraud events. The Falcon Intelligence Network is not a database of known “fraudsters” or “suspicious identities.” The Falcon Intelligence Network is a unique asset in the evolution of digital payment fraud.

Payments Data 45

Payments Data Non-Bank Fraud Detection Database 45

Nanonets

SEPTEMBER 27, 2024

Uploaded IDs undergo an authenticity check and data extraction, which is cross-verified against an external database for verification. Fraud Detection    Automation aids in identifying and flagging suspicious patterns through data analytics and real-time monitoring. or databases, like, Amazon S3.

Process 52

Process Underwriting Automation Database 52

The Payments Association

OCTOBER 3, 2024

Additionally, outsourcing fraud management as a service reduces costs for the financial institution and ensures that databases, rules, and learning models are always up to date. Enhanced processing systems translate to faster payments, immediate customer account updates, and superior fraud detection powered by AI and machine learning.

Payment APIs and Integration 88

Payment APIs and Integration Online and Mobile Banking On-Demand Fraud Detection 88

PYMNTS

MAY 22, 2017

The company created Neo4j — an open-source graph database technology that has become the world’s leading graph database — in 2007, and the technology now serves over 200 clients including eBay, Walmart, IBM, and NASA. It stores, processes, and queries connections faster than SQL-powered relational databases.

Technology 40

Technology Database Fraud Detection Use Case 40

FICO

DECEMBER 6, 2017

In terms of detecting fraudulent card transactions, there’s only one data source that offers the most predictive power, hands down: other card transactions, and lots of them. What’s more, the consortium provides the additional benefit of alerting all members of fraud threats and patterns seen by an issuer or institution.

Fraud Detection 56

Fraud Detection Transactions AI Database 56

PYMNTS

APRIL 26, 2019

Not only that, but 45 percent of decision makers working in fraud detection are interested in adopting smart agents. The PYMNTS-Brighterion research shows that 41.1 percent of commercial banks are “very” or “extremely” interested in adopting smart agents. Data Concerns.

AI 77

AI Fraud Prevention Fraud Detection Research 77

Payment Savvy

AUGUST 4, 2020

With this rule, businesses that debit funds for the payment of online orders will be required to implement robust fraud detection methods like minimum account validation as part of a fraud detection system. Understanding the New Requirements. Account Validation Approaches.

Account Validation 52

Account Validation NACHA Accounts ACH 52

Finovate

MAY 16, 2024

“Adding Socure’s digital identity verification capabilities to Defend, our fraud detection and prevention product, allows customers to secure transactions at every stage, quickly and accurately,” Proof CEO Pat Kinsel said. ” Founded in 2012, Socure made its Finovate debut at FinovateFall a year later.

Authorization 59

Authorization Verification OFAC Fincen 59

The Fintech Times

SEPTEMBER 26, 2024

This investment will be used to accelerate building the richer bureau database and to extend the product suite to help challenger lenders and banks reset the scales when it comes to credit. The funding was led by AlbionVC, with participation from 13books Capital, Outward VC, Form Ventures as well as Portfolio Ventures.

FinTech 64

FinTech Fraud Detection Payment APIs and Integration Fraud Prevention 64

Nanonets

SEPTEMBER 17, 2024

Fraud detection: A periodic review of bank statements can help financial institutions detect unauthorized transactions, fraud, and identity theft early. Technology in fake bank statement detection  While fake statement generation has become more prevalent and sophisticated, so has the technology for detecting them. 

Fraud Detection 52

Fraud Detection Online and Mobile Banking Verification AI 52

Fintech Finance

FEBRUARY 29, 2024

By combining Socure’s accurate and inclusive identity verification and fraud prevention ID+ platform with Trustly’s guaranteed Pay by Bank offering, merchants can onboard users and process payments in one integrated flow. Trustly, with direct banking integrations, provides instant Open Banking payments with transaction guarantees.

Fraud Prevention 52

Fraud Prevention Process Online and Mobile Banking FinTech 52

PYMNTS

NOVEMBER 3, 2017

Based in Finland and with offices in California, MariaDB offers enterprises an open source database solution. California’s AppZen deploys AI and machine learning to automate back-office functions, with a focus on expense report auditing, fraud detection and employee spend compliance. Expense Management.

B2B 75

B2B Automation AI Fraud Detection 75

PYMNTS

SEPTEMBER 13, 2019

“We have a consortium of data,” Grace said, adding that the company’s data comes from eight primary sources — including automotive and other lenders, and salary and other business databases. That remaining 25 percent is what lenders have to take a closer look at, as fraud can happen within that segment.

Fraud Detection 49

Fraud Detection Database Consumer Checks 49

PYMNTS

FEBRUARY 19, 2020

Bad people love Wawa , too – mostly for its large database of consumer information. Muscular platforms like these with advanced capabilities are being layered onto other analytics tools and fraud detection systems for an “orchestrated” approach to fraud decisioning. So very tasty.

Law Enforcement 52

Law Enforcement Fraud Detection Phishing Bots 52

Seon

JANUARY 29, 2024

Account Takeover Fraud Detection While it can be challenging to catch ATO attempts, these attacks can be detected by monitoring for out-of-the-ordinary account behavior. Deploying end-to-end fraud prevention and detection software helps you keep track of user activity and helps you spot suspicious patterns.

Account Takeovers 52

Account Takeovers Accounts Fraud Prevention Phishing 52

Stax

JANUARY 8, 2024

Fraud detection and prevention. Early detection can help in the rapid mitigation of fraud. This can be ensured using a fraud detection system with a filter, maintaining transaction records, and implementing chargeback alerts. are some of the common metrics you need to track.

Risk Management 88

Risk Management Risk Money Laundering Mitigation 88