Rate handling is a set of controls that manages how quickly a service accepts requests. It can include throttling, quotas, token buckets, backoff rules, and queueing. The goal is not to reject traffic by default, but to smooth bursts so authentication, matchmaking, APIs, and other backend functions remain responsive under load.
In cyber security, rate handling is important because overload can become an attack vector. Floods of login attempts, scraping, brute-force guessing, or distributed denial-of-service traffic can exhaust capacity and delay legitimate users. Good rate handling helps contain that pressure, limits abusive behavior, and protects downstream systems from cascading failure. Defenders use it with monitoring and alerting to spot unusual spikes, while attackers often try to bypass or overwhelm it by spreading requests across many IPs or accounts. In practice, it is a basic resilience control that supports both availability and abuse prevention.