Datadog's App and API Protection (AAP) provides detection and defense capabilities to mitigate account takeover (ATO) attacks, which can compromise sensitive information and perform privileged actions. To instrument applications for ATO detection, Datadog automatically instruments supported frameworks like Flask or Node.js, while manual instrumentation requires adding user identifiers and logic for determining legitimate user behavior. Datadog detects ATO attacks by monitoring login activity and flagging suspicious behaviors using built-in detection rules, which provide contextual information to help teams prioritize their response. The platform also provides remediation actions, such as blocking malicious IPs, customizing WAF rules, and creating custom 403 block pages, to slow down or disrupt attacks. To prevent future ATO attacks, teams need to assess the scope of the attack, identify compromised accounts, and adjust detection and response strategies through post-incident analysis. By using Datadog AAP, organizations can protect login endpoints, stop account takeovers before they escalate, and equips their teams with real-time detection and flexible workflows to adapt quickly when attacks do occur.