Published on 2026-02-18
Identify and block attacks in real time to control ATOs.
Don't wait to react to ATOs after the fact. Detect malicious intent before an attack happens, stopping threat actors before they can act. Account takeover attacks have become increasingly sophisticated, with attackers using credential stuffing, phishing, and social engineering to gain unauthorized access. Traditional security measures often fail because they only react after an attack has occurred. Our proactive approach identifies suspicious behavior patterns and anomalous activities that signal an impending attack, allowing you to intervene before any damage is done.
Contain account takeovers instantly. Use our powerful rules engine and built-in mitigation tools to respond to any level of risk and adapt in real-time. The speed of modern attacks requires equally fast responses. Our automated defense system continuously monitors user sessions, login attempts, and account activities. When suspicious patterns are detected, the system immediately applies appropriate countermeasures—ranging from requiring additional authentication to temporarily locking accounts—all without disrupting legitimate users' experiences.
Create and instantly backtest adaptive rules. Enforce responses in real time, from intelligent rate limiting to MFA challenges to blocking. Our rule builder allows you to create complex security policies that adapt to your specific needs. Test rules against historical data to ensure they work as expected before deploying them in production.
Build powerful rules based on our scores and hundreds of risk signals, blocking account takeovers with zero friction for real users. Our risk scoring engine analyzes hundreds of data points including device fingerprints, network characteristics, behavioral patterns, and historical data to accurately identify threats while minimizing false positives.
Replace your clunky, external CAPTCHA. Use our native, invisible, or dynamic challenges to stop abuse before it ever reaches your infrastructure. Unlike traditional CAPTCHAs that frustrate users, our challenges are context-aware and only appear when necessary. They're designed to be quick and unobtrusive for legitimate users while effectively blocking automated attacks.
Replace expensive external MFA providers. Use our pull-based SMS and OTP authentication for a seamless and more secure verification experience. Our integrated multi-factor authentication system eliminates the need for third-party services, reducing costs while providing a smoother user experience. The pull-based approach is more secure than traditional push notifications.
Our analytics, real-time insights, anomaly views, and SOC assistance give your team everything they need to surface any first-party fraud or application abuse. Investigate and validate suspicions. When suspicious activity is detected, you need comprehensive tools to understand what happened and why. Our investigation dashboard provides a complete view of user sessions, including device information, network details, behavioral patterns, and historical context. This comprehensive view helps security teams quickly determine whether an alert represents a real threat or a false positive.
Analyze the whole user journey to see the true context behind every isolated threat. Track user behavior across multiple sessions and interactions to build a complete picture of their intent. This helps distinguish between legitimate users with unusual but explainable behavior and actual attackers.
Use powerful filtering to investigate suspicious sessions and instantly identify attack patterns. Advanced filtering and search capabilities allow you to quickly find related incidents, identify attack patterns, and connect seemingly isolated events into a comprehensive threat picture.
Accelerate investigations and get expert threat analysis with our world-class SOC. Our security operations center team provides expert analysis and recommendations, helping you understand threats and respond effectively. They're available to assist with complex investigations and provide guidance on security best practices.
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Our system continuously monitors all user activities, login attempts, and account interactions in real-time, building a comprehensive profile of normal behavior patterns for each user.
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Advanced machine learning algorithms analyze behavioral patterns, device fingerprints, and network signals to identify anomalies that indicate potential account takeover attempts before they succeed.
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When threats are detected, the system automatically applies appropriate countermeasures based on your configured security policies, ranging from additional authentication requirements to account lockdowns.
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All security events are logged and analyzed, allowing your team to investigate incidents and continuously improve detection rules. The system learns from each incident to become more accurate over time.
Attackers use stolen username and password combinations from data breaches to gain unauthorized access. We detect these attempts through velocity checks, device fingerprinting, and behavioral analysis.
Fraudulent emails and websites trick users into revealing their credentials. Our system identifies when accounts are accessed from suspicious locations or devices after potential phishing exposure.
Attackers manipulate users into revealing sensitive information. We detect unusual account access patterns and flag accounts that show signs of compromise.
Attackers steal active session tokens to gain unauthorized access. Our system monitors session activity and detects when sessions are used from multiple locations or devices simultaneously.
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