Educational institutes deal with confidential data & this makes them a target for cybercriminals. Click here to know about types of fraud in and ways to prevent them.

Frauds have been increasing every year in the US. Organizations are losing an average of 5% of their revenue to fraud each year, and the estimated cost of fraud for US financial institutions in 2021 was $4.2 billion. This article summarizes the industry reports on frauds in the US and lines out the predictions for 2023 basis the trends.

Fraud is something that everyone wants to avoid. Click here to know about first party fraud, second party fraud & third party fraud & how fraudsters hide their identity.

Digital IDs are the digitized versions of govt. issued IDs. Paper IDs are govt. issued paper based ID cards. Click here to know more about their key differences!

Ensure security with seamless phone verification. Learn the importance, methods, and best practices of phone validation for reliable user authentication on your platform.

Cross-border remittance frauds are on the rise. Here’s how businesses can prevent them with HyperVerge.

Explore the differences between face detection & facial recognition. Understand how these biometric technologies work.

Identity fraud refers to the crime when someone obtains other person’s personal data wrongfully. To know more about why it occurs & how to prevent it, click here!

Data mining for fraud detection is a technique used to identify fraudulent business activities by analysing data. Click here to know about how it can help in fraud detection!

Want to know about the common insurance fraud detection techniques & tools used by organisations around the world to detect fraudulent activities. Click here to read more.

Fraud is a serious problem that affects individuals, businesses, & the economy & the best way to overcome it is fraud awareness. To know more about it. click here!

A company’s ability to detect fraudulent financial behavior is know as “financial fraud detection.” To know about the type of frauds & use of ML to detect it, click here!