Protect Online Accounts from Account Takeovers

HUMAN goes beyond blocking malicious logins by continuously evaluating user behavior throughout the session. If an attacker successfully accesses an account using valid credentials, HUMAN monitors in-session signals – such as unusual navigation paths, rapid changes to account settings, or high-risk transactional behavior – to detect activity that deviates from legitimate user patterns.

When suspicious behavior is identified, HUMAN’s account takeover protection surfaces clear insights that help security teams understand what happened and what the attacker attempted to do. These insights accelerate the investigation process and support faster remediation, such as resetting credentials, revoking tokens, or restoring affected account changes. By combining real-time detection with post-compromise visibility, HUMAN enables organizations to respond quickly and minimize the impact of account takeover fraud.

Effective account takeover prevention involves real-time detection of suspicious login behaviors, behavioral analysis, device fingerprinting, and multi-layered security controls. HUMAN’s solution monitors for anomalies, including rapid login attempts, unusual geolocations, or impossible travel patterns, and blocks takeover attempts without adding unnecessary friction for legitimate users.

Methods For Prevention of an Account Takeover:

• Adaptive Challenges: Trigger CAPTCHA or step-up MFA when suspicious login activity or anomalous user behavior is detected, adding friction only when risk is elevated.
• Login Throttling: Automatically slow, rate-limit, or temporarily lock accounts after repeated failed login attempts to prevent brute force and credential stuffing attacks.

Detecting account takeovers requires more than traditional login monitoring. HUMAN uses behavioral biometrics, machine learning, and advanced ATO prevention technology to establish behavioral baselines—such as login velocity, geographic anomalies, device fingerprint drift, and session behavior, to identify subtle signs of unauthorized access. By analyzing deviations from normal user activity, session hijacking attempts, and rapid credential stuffing in real time, HUMAN surfaces high-risk patterns early, helping stop account takeovers before damage occurs.

HUMAN stops account takeovers by identifying and blocking the automation and credential abuse that power these attacks. Our account takeover prevention solution uses advanced algorithms to distinguish real users from bots or fraudsters, preventing unauthorized access in real time while ensuring genuine customers continue to experience seamless service.

In addition to account takeover protection, HUMAN helps organizations defend against a broad spectrum of automated threats including scraping, fake account creation, transaction fraud, and client-side attacks. Our multi-layered approach protects businesses across web, mobile, and API environments, ensuring security without compromising performance.

Attackers harvest stolen credentials either through data breaches, phishing, or underground marketplaces. They then deploy automated bots to rapidly test these credentials across login pages – a tactic known as credential stuffing. Because many users reuse passwords across services, attackers scale this process across multiple high-value sites, making it difficult for basic defenses to keep up.

While businesses shoulder most of the responsibility for securing their applications, end-user behavior plays a meaningful role in reducing account takeover risk. Users should create unique, strong passwords for each account to prevent cross-site credential reuse – one of the primary drivers of credential stuffing attacks. Enabling multi-factor authentication (MFA) adds an additional layer of verification that blocks unauthorized access even if a password is exposed. Users should also stay alert to phishing attempts, which remain a common method for stealing login credentials in the first place. Taken together, these hygiene practices help limit attackers’ ability to leverage stolen credentials at scale.