Adaptive authorization systems that evaluate contextual factors to determine access levels, commonly known as Risk-based access control, typically require additional authentication factors when a user attempts to access resources from an unusual geographic location.
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This statement is true. Risk-based access control is a dynamic access control model that evaluates various risk factors in real-time to determine the appropriate level of access. The system continuously assesses contextual elements such as user behavior patterns, device characteristics, network location, time of access, and geographic location.
When a user attempts to access resources from an unusual geographic location that differs from their normal pattern, the risk assessment engine identifies this as a potential security concern. In response, the system typically steps up authentication requirements by demanding additional authentication factors to verify the user's identity. This could involve prompting for a one-time password, biometric verification, or other forms of multi-factor authentication.
This adaptive approach allows organizations to maintain security while providing appropriate access based on the calculated risk level of each access attempt, rather than implementing rigid access rules that might be overly restrictive or inadequately secure.
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