Building Trust in AI with ID Verification

... While the capabilities of AI technology have spearheaded innovation, its widespread use has also led to the development of dangerous tech such as deepfakes-as-a-service. ...

AI and Large Language Model (LLM) generative language applications can be used to create more sophisticated and evasive fraud that is difficult to detect and remove. ...

The AI threat landscape is constantly evolving and teams need to be equipped with technology that can quickly and easily adjust and implement new techniques.

Some opportunities in using AI with identity verification technology include:

• Examining key device attributes
• Using counter-AI to identify manipulation: To avoid being defrauded and protect important data, counter-AI can identify the manipulation of incoming images.
• Treating the ‘absence of data’ as a risk factor in certain circumstances
• Actively looking for patterns across multiple sessions and customers

These layered defenses provided by both AI and identity verification technology, investigate the person, their asserted identity document, network and device, minimizing the risk of manipulation as a result of deepfakes and ensuring only trusted, genuine people gain access to your services.

AI and identity verification need to continue to work together. ...

Companies need to widen their defense landscape, and cannot be afraid to invest in tech, even if it adds a bit of friction. ...

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