High-Risk Customer Monitoring

Track Behavioural Patterns to Flag Potential Fraudsters

Fraud develops overtime, unseen, quiet & hits hard.

Fraud isn’t always immediate, it’s often a pattern that develops over time.

With High- Risk Customer Monitoring, businesses can proactively detect suspicious behaviours before they escalate into full-scale fraud.

By analysing past activities, transactional anomalies, and cross-platform interactions, companies can predict fraud risk with accuracy and stop bad actors in real time.
Behavioural Score Tracking
  • Customers accumulate behavioural risk points based on suspicious actions over time.
  • If a user repeatedly engages in refund abuse, fake returns, or multi-account fraud, their risk score increases dynamically.
Fraud Pattern Recognition
  • Detect unusual spending spikes, multiple accounts linked to the same details, or unusual login patterns.
  • Medusa integrates data from multiple e-commerce platforms to provide real-time insights into a customer’s fraud risk.
Dynamic Fraud Thresholds
  • High-risk customers trigger enhanced verification before completing high-value transactions.
  • Businesses can automate actions, such as flagging, monitoring, or blocking transactions based on risk level.

Industries That Benefit from High-Risk Customer Monitoring

Detect money laundering, synthetic identities, and transaction fraud.
Prevent bot-driven purchases and reseller fraud.
Identify serial refund abusers and fraudulent chargeback requests.
Prevent repeat fraudulent claims and exaggerated losses.

Book an Audit – Gain real-time fraud intelligence and stay ahead of fraudsters today.