How does AI analyze behavioral data in authentication processes?

Artificial intelligence (AI) can analyze behavioral data in authentication processes to detect unusual activity through various methods. One common approach is by creating a baseline of normal behavior for each user based on factors like login times, geolocation, typing patterns, and navigation habits. AI algorithms then analyze real-time user interactions and compare them to the established behavioral patterns. If the observed behavior deviates significantly from the expected norms, the system flags it as unusual activity and triggers security measures such as additional authentication steps or account lockdown. This continuous monitoring and analysis help AI-powered systems to swiftly identify potential security threats and protect against unauthorized access or fraudulent activities.