Darwinium secures accounts by combining edge-based protection with deep behavioral intelligence. Unlike traditional tools that often operate in siloes across high-risk touchpoints, Darwinium seamlessly connects the dots between every interaction a user makes online, prioritizing the customer journey as a first-class construct - looking at inconsistencies and anomalies at a journey-level, as well as at the individual interaction level. Darwinium's behavioral fingerprinting technology goes beyond traditional device fingerprinting, by analyzing a wide range of user behaviors. This includes:

• Mouse movements and typing patterns: Detecting robotic or non-human-like interactions.
• Scrolling and navigation behavior: Identifying unusual patterns that may indicate automated activity.
• Interaction with form fields and other website elements: Detecting inconsistencies or anomalies in the way forms are filled that may indicate fraudulent or malicious intent.
• Frequent locations: Comparing location data to accepted norms or previous trusted patterns of interactions.
• Journey behaviors: comparing the way traffic is traversing a website, and comparing to how trusted users interact across a series of steps in the digital journey.
• Patterns of behavior over time: Comparing traffic behaviors to cohorts of trusted customer interactions over particular timescales.

Darwinium protects user accounts from takeover attacks (ATOs) by continuously analyzing behavioral, device, and connection data at every interaction. It creates a persistent behavioral identity graph for each user, to help businesses separate trusted users from potential threats. These insights are used in real time to flag or block suspicious login attempts, enforce step-up authentication, or challenge high-risk sessions.

Edge-based account security and fraud detection enables real-time analytics and decisioning across the complete customer journey. Unlike traditional solutions, edge-based systems operate infront of web traffic, allowing for faster responses to threats like credential stuffing and AI-driven attacks. It also allows businesses to easily protect new touchpoints by orchestrating customer journeys from within the Darwinium portal, rather than waiting for the next release cycle to make a code change.

Yes. Darwinium is highly effective at detecting and stopping credential stuffing attacks. It identifies telltale signs like high-velocity login attempts, use of automation tools, unusual device or location patterns, and behavior anomalies. Darwinium analyzes these signals in real time and can respond immediately, by blocking requests, enforcing step-up authentication, or challenging sessions.

Darwinium delivers strong account security without compromising user experience by making real-time, risk-based decisions throughout the user journey. Instead of applying blanket controls, it continuously evaluates behavior, device, and intent, identifying trusted users early and allowing them to proceed seamlessly. Only risky or unusual activity triggers additional checks, like MFA or step-up verification, and can be configured to your own specific use cases and tolerance for risk.

Yes. Darwinium continues to evaluate user behavior after login, monitoring for signs of lateral movement such as unusual navigation paths, changes in access patterns, or attempts to reach sensitive areas. It combines visibility of the full customer journey with protection of backend API traffic to identify anomalous journey patterns that might indicate nefarious intent.

Most organizations begin seeing value within days of deployment. Because Darwinium can operate at the edge and integrates with existing CDN infrastructure, setup is fast, and new touchpoints can be protected as risks evolve. Our customers typically deploy Darwinium to protect a particular use case, such as a login, and then rapidly extend the deployment to cover other touchpoints, when they see the simplicity of the integration, and the breadth / depth of data that can be accessed.

Yes. Darwinium is designed with compliance in mind. It can support transaction risk assessments to support PSD2 compliance, with deep behavioral analysis, and adaptive authentication. It also supports data residency and privacy protocols by anonymizing and encrypting sensitive data at the edge. This helps align with standards such as NIST, GDPR, and CCPA while maintaining strong account security.