Passage by 1Password Features

Authentication type (3)

Functionality (10)

Multi-Device Sync: Allows the use of tokens on multiple devices. This feature can also be turned off if the user does not want this.
Self-registration and self-service: Enables a seamless customer experience with self-registration and self-service functions, including account creation and preference management.
Authentication: Verifies user identity with authentication, which may include multiple multi-factor authentication methods.
Scalability: Scales to support growing a customer base.
Consent and preference management: Captures and manages a customer's consent and preferences to comply with data privacy laws such as GDPR and CCPA.
Social login: Offers users the option to sign in with social media accounts.
Customer data linking: Integrates with directories or other data stores that house customer data to create a complete view of a customer.
FIDO2-compliant: Offers FIDO2-enabled authentication method This feature was mentioned in 12 Passage by 1Password reviews.
Multiple authentication methods: Offer users multiple ways to authenticate including, but not limited to: mobile push on trusted devices, FIDO-enabled devices, physical security keys, keycards, smart watches, biometrics, QR codes, desktop app + pin, and others. 12 reviewers of Passage by 1Password have provided feedback on this feature.
Offline or no-phone solution: Offers solutions when users are offline or do not have access to a mobile phone. 12 reviewers of Passage by 1Password have provided feedback on this feature.

Implementation (3)

AI Authentication Risk Management - Customer Identity and Access Management (CIAM) (5)

Adaptive MFA: Possesses AI-driven triggers to determine when to require MFA or stronger authentication rather than always requiring it.
Anomaly Detection: Builds profiles of known devices/environments per user and flags deviations such as new devices, new networks, and/or suspicious locations as higher risk.
Fraudulent Login Detection: Spot fraudulent behavior, such as account takeover attempts, credential stuffing, bots, and brute force attacks through the use of AI.
Adaptive Authentication Policies: Uses machine learning to analyze past authentication events and suggest optimizations to security policies (e.g. thresholds, triggers) or to adjust rules over time.
Risk-Based Authentication: 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.