Automated fraud is repeated digital abuse carried out by scripts, bots, or other machine-driven workflows to obtain money, access, or an unfair advantage. Instead of a single manual attempt, an attacker can run thousands of small actions against a service, such as sign-up abuse, credential stuffing, payment testing, coupon abuse, or account takeover attempts.
It matters in cyber security because automation increases scale, speed, and persistence. A fraud attempt that would be easy to stop once can become hard to distinguish from normal traffic when it is distributed, adaptive, and continuous. In retail and commerce, this can pressure identity flows, checkout paths, and account systems, especially when legitimate automation also exists.
Defenders respond with rate limiting, bot detection, device and behavior analysis, transaction monitoring, and stronger identity checks. The goal is not to block all automation, but to separate trusted machine activity from abuse before it turns into loss or disruption.