Prevent fraud. Preserve trust.

Account Protect prevents fraud across the user journey by verifying authenticity and intent beyond login. It detects fraudulent bot activity, including account takeovers, fake sign-ups, and credential stuffing early, stopping fraud before it spreads. This reduces chargebacks, loyalty point abuse, and reliance on costly per-transaction fraud tools.

Account Protect detects sophisticated hybrid attacks where agentic AI is used alongside human activity. By identifying these complex patterns in real time, Account Protect stops account takeovers and fake signups before they succeed.

Account Protect stops two primary threats: account takeovers and fake account creation. These threats are often the starting point for broader fraud use cases like card testing, identity theft, loyalty abuse, SMS pumping, and app or form spamming. By blocking these threats early, Account Protect prevents downstream abuse and reduces overall fraud risk.

Yes, Account Protect helps prevent account sharing by detecting when users share credentials with others. While not always malicious, it can violate terms of service and create risk, especially for subscription or digital content platforms. Account Protect stops core fraud threats and provides visibility into broader patterns of fraud.

Account Protect analyzes multiple behavioral patterns to detect fraud, such as rapid profile updates, suspicious login activity, and unusual form submissions. It compares timing and navigation behavior to human norms and flags multiple accounts tied to the same device or IP to uncover account farms and coordinated abuse.

Account Protect assigns a dynamic risk score by comparing each session to a user’s historical behavior and trusted patterns. It analyzes technical and behavioral signals like IP, browser, and login flow to detect anomalies. Risky sessions are challenged or blocked early, while trusted users continue without disruption.

Account Protect analyzes technical and business signals to assess session risk. It evaluates IP, device, and browser details along with phone numbers, emails, and usernames. Signals are checked for reputation and patterns, such as disposable emails or reused phone numbers. Correlations like one device creating many accounts help uncover fraud.

Account Protect detects early signs of fraud by analyzing behavior, reputation signals (e.g., email domain), and ecosystem patterns. It establishes a baseline for normal user activity, then flags anomalies like mismatched locations, timing inconsistencies, suspicious logins, and repeated use of disposable emails or shared devices. This helps uncover fraud rings before they cause damage.