Memberstack Features

Enables a seamless customer experience with self-registration and self-service functions, including account creation and preference management.

Verifies user identity with authentication, which may include multiple multi-factor authentication methods.

Scales to support growing a customer base.

Captures and manages a customer's consent and preferences to comply with data privacy laws such as GDPR and CCPA.

Offers users the option to sign in with social media accounts.

Integrates with directories or other data stores that house customer data to create a complete view of a customer.

Possesses AI-driven triggers to determine when to require MFA or stronger authentication rather than always requiring it.

Builds profiles of known devices/environments per user and flags deviations such as new devices, new networks, and/or suspicious locations as higher risk.

Spot fraudulent behavior, such as account takeover attempts, credential stuffing, bots, and brute force attacks through the use of AI.

Uses machine learning to analyze past authentication events and suggest optimizations to security policies (e.g. thresholds, triggers) or to adjust rules over time.

Leverages AI to assign a risk score to a login attempt based on context, device, IP, historical patterns to dynamically decide whether to prompt for MFA, additional challenges, or allow seamless login.

Monitors behavioral signals including typing patterns, mouse movement, and/or touch/swipe dynamics to verify user identity either at login or continuously after login.

Uses computer vision, facial recognition, or other biometrics during onboarding or at risk events, with AI-based liveness checks to prevent spoofing or replay attacks.

Generates dynamic prompts to guide users through account recovery workflows.

Implements artificial intelligence to filter, rewrite, or block prompts that attempt to access unauthorized data, escalate privileges improperly, exploit system weaknesses, or otherwise re-provision customer access permissions.