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Adaptive MFA (Risk-Based Authentication)

Adaptive MFA delivers intelligent, context-aware multi-factor authentication that dynamically adjusts security requirements based on real-time risk assessment. The system balances security and user experience by requirin

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Adaptive MFA delivers intelligent, context-aware multi-factor authentication that dynamically adjusts security requirements based on real-time risk assessment. The system balances security and user experience by requirin

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Referencia de origem

content/modules/admin-adaptive-mfa-risk-based-authentication.md

Última Atualização

23 de fev. de 2026

Categoria

Gestão

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managementreal-timecompliance

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Overview#

Adaptive MFA delivers intelligent, context-aware multi-factor authentication that dynamically adjusts security requirements based on real-time risk assessment. The system balances security and user experience by requiring additional authentication factors only when risk signals indicate potential threats, reducing friction for trusted users while blocking unauthorized access.

Key Features#

  • Dynamic Risk Scoring - Each login attempt is evaluated in real time across multiple behavioral and contextual signals to produce a comprehensive risk score, automatically determining whether additional authentication is required.

  • Intelligent MFA Prompting - MFA is only triggered when the risk score exceeds configurable thresholds, significantly reducing unnecessary authentication friction for legitimate users.

  • Device Fingerprinting - Known devices are tracked and trusted, while logins from new or suspicious devices are flagged for additional verification.

  • Impossible Travel Detection - The system identifies physically impossible location changes between login attempts (for example, two cities thousands of miles apart within a short window) with high accuracy.

  • Geolocation Anomaly Detection - Logins from new countries, cities, or suspicious networks (VPN, Tor, proxy) are identified and escalated.

  • Behavioral Analytics - User patterns such as typical login times, locations, and devices are learned over time, and deviations are flagged for review.

  • Configurable Risk Policies - Administrators can define risk thresholds, whitelist trusted networks or devices, and customize which risk signals are active for their organization.

  • Step-Up Authentication - Sensitive operations (such as changing security settings or accessing classified data) can require additional verification regardless of initial login risk.

Use Cases#

  • Reducing authentication friction for users who consistently log in from trusted devices and locations, improving productivity without sacrificing security.
  • Blocking account takeover attempts by detecting credential stuffing, brute-force attacks, and login anomalies in real time.
  • Enforcing stronger authentication for high-risk scenarios such as new device logins, logins from unfamiliar locations, or access outside normal working hours.
  • Meeting compliance requirements for adaptive authentication mandated by frameworks such as SOC 2, HIPAA, and NIST.
  • Supporting zero-trust security models where every access request is continuously evaluated rather than trusted by default.

How It Works#

  1. Signal Collection - When a user attempts to log in, the system collects contextual data including device information, location, network characteristics, and behavioral patterns.

  2. Risk Evaluation - All signals are analyzed against the user's historical baseline and organizational policies to calculate a risk score.

  3. Authentication Decision - Based on the risk score and configured thresholds:

    • Low Risk: User proceeds with standard authentication.
    • Medium Risk: Additional verification is requested (e.g., authenticator app, SMS code).
    • High Risk: Strong MFA is required, and the security team may be alerted.
    • Critical Risk: Access may be blocked, and the account flagged for investigation.
  4. Continuous Monitoring - Risk assessment continues throughout the session. If anomalous behavior is detected mid-session, step-up authentication can be triggered.

Configuration#

Administrators can customize Adaptive MFA behavior through the admin console:

  • Risk Thresholds - Set the risk score boundaries that determine when MFA is required, when access is escalated, and when access is denied.
  • Trusted Networks - Whitelist corporate networks or VPN ranges to reduce friction for known-safe locations.
  • Trusted Devices - Allow users to register trusted devices that receive reduced MFA prompting.
  • Policy Exceptions - Create exceptions for service accounts, break-glass scenarios, or specific user groups.
  • Alert Configuration - Define which risk events trigger notifications to the security team.

Integration#

  • Identity Providers - Works seamlessly with existing SSO and identity federation (SAML, OIDC, OAuth 2.0).
  • SIEM Platforms - Risk events and authentication analytics can be forwarded to your SIEM for centralized monitoring.
  • Directory Services - Integrates with Active Directory, Azure AD, Google Workspace, and other directory providers.

Availability#

  • Enterprise Plan: Included
  • Professional Plan: Available as add-on

Last Reviewed: 2026-02-23