Fraud attempt rate is the share of transactions, logins, or other events that are flagged as suspicious or fraudulent during a defined period. It is usually expressed as a percentage, such as 1.21% of all online purchases in a month. Security teams use it as a trend metric: a rising rate can indicate more attacker activity, weaker controls, or a shift in customer behavior that is triggering more checks.
In cyber security, this metric matters because fraud is often detected probabilistically, not with perfect certainty. Payment platforms, e-commerce sites, and banks monitor fraud attempt rate to tune filters, compare regions or channels, and spot reversals after long periods of improvement. In attacks, a higher rate may reflect card testing, account takeover, bot-driven abuse, or other attempts to exploit payment systems. In defense, layered controls, rules, and anomaly detection aim to keep the rate low while avoiding too many false positives.