Download our complimentary ebook on Generative AI for fraud detection and see how DataVisor’s AI Co-Pilot massively boosts detection efficiency, productivity, and customer experience.| DataVisor
Follow the latest news in AI and machine learning to financial crime prevention. We update our blog regularly to keep our readers informed, subscribe today!| DataVisor
Reduce chargebacks, eliminate false declines, and enable frictionless purchases.| DataVisor
Prevent downstream damage and bust-out fraud with proactive risk management.| DataVisor
Get AI anti-money laundering solution with DataVisor! Our platform helps boost detection, reduce false positives, and maintain compliance.| DataVisor
Monitor transactions and make the best decisions every time and at any scale.| DataVisor
Safely onboard good customers without introducing additional layers of friction and no concerns about fake, synthetic and high-risk account openings.| DataVisor
Stop fraud losses from check kiting, washing, counterfeiting, and duplicate deposits.| DataVisor
Machine Learning has been a game changer in the fraud prevention landscape. Download our free dummy handbook on Machine Learning for fraud detection.| DataVisor
Pig butchering scams are exploding worldwide as a serious new financial crime. Here's how they work and how to protect yourself from them.| DataVisor
Debit card fraud affects consumers every day. We'll explain how debit card fraud happens, how banks fight it, and how to protect yourself.| DataVisor
Credit card fraud happens when a fraudster makes a transaction with another person’s card without authorization. Learn how it happens and what can you do to prevent it.| DataVisor
Uncover account takeovers and massive account registrations ahead of time. Block fraud before losses materialize.| DataVisor
Anti-money laundering is both a tool and a set of laws institutions need to follow. We explain both sides of AML in this wiki post.| DataVisor
Case Management is the backbone of your fraud strategy. Discover how fraud analysts review, investigate and manage fraud cases.| DataVisor
Money laundering harms businesses and customers alike. AML transaction monitoring can catch launderers before they act—here’s how.| DataVisor
Supervised machine learning (SML) is used to discover patterns and insights from a set of data to make predictions about future outcomes.| DataVisor
Payment fraud is any deceptive activity aiming to steal funds during a payment. Learn common types of payment fraud and how to detect it.| DataVisor
Device fingerprinting is a process of collecting unique identifying information from an electronic device for identity validation.| DataVisor
Data breaches cause significant financial and reputational damage. They are also typically only the first step along the full timeline of a fraud attack.| DataVisor
Unsupervised machine learning (UML) is one of three main categories of machine learning techniques. Applications include clustering and anomaly detection.| DataVisor
Download the case study to learn how a federal credit union uses DataVisor to proactively fight multiple types of fraud, saving time and money.| DataVisor
Learn what payment fraud is, how fraudsters get away with it, what forms it takes, and how to detect and prevent payment fraud altogether.| DataVisor
Synthetic identity theft involves creating a new identity with personal information from multiple people or by combining real and fake personal information.| DataVisor
Phishing attacks are on the rise. Modern fraudsters use them in increasingly sophisticated ways, and legacy fraud solutions are failing to adapt.| DataVisor
Money mule scams are one of the few crimes where the perperator is a victim themselves. Here's how to spot them, avoid them, and prevent them.| DataVisor
Cryptocurrency investment scams are a serious threat to crypto users and fintechs alike. Learn how to detect and prevent them in this wiki.| DataVisor
Check fraud can take many forms, but in the end individuals, financial institutions, and businesses are the victims. Learn how it happens and how to stop it.| DataVisor
Card skimming is a sophisticated form of fraud common among modern scammers. This post explains how it happens, common methods, and prevention strategies.| DataVisor
Account Takeover – or ATO – happens when a bad actor uses stolen credentials to take over ownership of someone’s account. Read more to learn how exactly it happens and what can be done to prevent it.| DataVisor
Transaction monitoring is a critical part of detecting financial frauds like payment scams and money laundering. Here’s how it works and the best transaction monitoring tools.| DataVisor
Only one fraud solution is fast enough to catch instant payment fraudsters—real-time monitoring. Here’s how it works and how to use it in your fraud strategy.| DataVisor
Loan stacking refers to getting approval for multiple loans or lines of credit simultaneously. Fraudsters do this with no intention of paying loans back.| DataVisor
Application fraud is where a bad actor uses a stolen or synthetic ID to apply for a loan or line of credit with no intention of paying back the lender.| DataVisor
DataVisor's AI-powered fraud detection platform protects world’s largest enterprises from online fraud, digital risks, and sophisticated attacks.| DataVisor
Learn what Day Zero Risk is, why we need to reimagine identity verification, and how advanced technologies can help us do it.| DataVisor
Automated rule tuning is a powerful fraud tool teams can use to both reduce false positives and increase detection efficiency, saving significant amounts of time. Read this post to see how.| DataVisor