MouseCat’s AI Fraud Investigator

Because the MouseCat AI is auto-tuned with a client’s historical data, agents can be deployed in any world region. It can be integrated with SOC 2, HIPAA and PCI systems and is GDPR (General Data Protection Regulation) compliant.

Visa to Buy BioCatch

For Visa, BioCatch is part of a strategy to catch fraud prior to a payment attempt. Over the last five years, Visa has invested over $13 billion in technology and infrastructure to maintain the safety and integrity of its payment ecosystem.

Real-Time Risk Intelligence Fights Synthetic Fraud

The ability to spot anomalies in information submitted in applications for new accounts is key to fighting synthetic identity fraud. Organizations need the ability to determine if identity data, such as name, date of birth, and social security number (SSN); connected signals, such as phone number, email address and digital footprint; and location data are […]

Visa Offers Card-Based ID Verification with Keyno

Keyno’s software does more than fight fraud. Issuers can also use it to place parameters on card spending, validate 3DS transactions, autofill fields at checkout, activate an app, confirm that cardholders are in possession of their card, enable click to pay and manage the life cycle of a merchant or device token.

Certos B2B Fraud Fighting

Certos is the name Early Warning Services has chosen for a business that screened more than $11.400 trillion in payments (ACH, check, bank transfers) last year, stopping more than $3.70 billion in fraud.

CY4Data Labs Encrypts Personal Information

Personally identifiable information (PII) is just as much a target for cyberthieves as credit card numbers and security codes. However, there is no equivalent protection regime for PII that matches PCI DSS for payment card numbers. PII includes names, email addresses, phone numbers, shipping and billing addresses, IP addresses, order histories as well as device […]

LexisNexis Risk Solutions Fights Deep Fakes

LexisNexis Risk Solutions’ adaptive models are self-learning and evolve in real time. By comparison, purely rules-based fraud fighting technologies that use templates are proving to be slower to adapt to criminal use of generative AI.