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Council Post In The Deepfake Era Its Time To Overhaul Identity Verification

In the Deepfake Era, It's Time to Overhaul Identity Verification

Legacy technologies and techniques are no longer sufficient

The increasing sophistication of deepfakes, which are realistic-looking fake videos or photos of people, is posing a major challenge to traditional identity verification methods.

In the past, identity verification has relied heavily on biometrics, such as fingerprints and facial recognition, and knowledge-based questions, such as your mother's maiden name. However, deepfakes can easily spoof these measures, making them unreliable for verifying someone's identity.

New approaches are needed to verify identity in the deepfake era

Given the limitations of legacy identity verification methods, there is a growing need for new approaches that are more robust against deepfakes.

One promising approach is behavioural biometrics, which analyzes unique patterns in a person's behavior, such as their typing rhythm or mouse movements. Behavioural biometrics are more difficult to fake than traditional biometrics, as they are based on long-term patterns of behavior that are difficult to replicate.

Another approach is social network analysis, which examines a person's social networks and relationships to verify their identity. By analyzing a person's connections and interactions, social network analysis can help to identify fake or stolen identities.

Conclusion

The deepfake era is a major challenge to traditional identity verification methods. However, new approaches, such as behavioural biometrics and social network analysis, are emerging to meet this challenge.

By adopting these new approaches, organizations can improve their ability to verify identity and protect themselves from fraud.


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