What is scam analytics?

Scam Analytics refers to the suite of advanced analytical techniques and tools used to detect and prevent scams and frauds online. It leverages data mining, machine learning, predictive modeling, and other AI technologies to spot anomalies, patterns, or suspicious behavior that indicate possible scamming activities.

What is fraud analytics?

Fraud analytics uses data analytics to help organizations detect and prevent online fraud.

How does scamalytics detect online scams?

Scamalytics’ technology is designed to detect suspicious behavior patterns that are commonly associated with online scams. For example, the company’s algorithms can identify whether a user’s profile picture is genuine, or whether it has been stolen from another website or social media platform.

How does scamalytics measure fraud?

Scoring: Based on the analysis, Scamalytics assigns a fraud score to each user profile. The higher the score, the more likely the profile is to be associated with fraudulent activity. Risk Mitigation: Businesses that use Scamalytics can use the fraud scores to mitigate risk.