Critical
Large-scale credential stuffing, account takeover attempts, or aggressive API abuse.



Identify automated clients using signals like request patterns, device fingerprints, and behavioral anomalies.

Stop credential stuffing, scraping, fake registrations, and API abuse before they cause damage.

Keep legitimate users flowing smoothly while high-risk bot traffic is challenged or blocked.
Prioritized by attack impact, volume, and target sensitivity — so teams stop the most damaging bot activity first.
Large-scale credential stuffing, account takeover attempts, or aggressive API abuse.
Scraping of sensitive data, fake account creation, or targeted form abuse.
Low-volume automation, probing activity, or suspicious clients that need monitoring.
Live output from MadStack Bot Protection — exact target, attack type, and recommended action.

Credential stuffing, account takeover attempts, web scraping, fake signups, inventory hoarding, and automated API abuse.
No. Detection is behavior-based and adaptive, so real users continue with minimal or no friction while high-risk bot traffic is blocked or challenged.
Yes. It integrates with common edge and application setups and can complement existing controls with deeper bot intelligence.
