Aware eBook: Evaluating Deepfake Defense Technologies

Identity fraud has fundamentally changed.

For decades, digital trust relied on passwords, documents, and static identity checks. If a face matched an ID, organizations could move forward with confidence.

That model no longer holds.

Deepfakes now enable scalable identity fraud — from synthetic accounts to account takeovers and sophisticated impersonation attacks. According to Deloitte, generative AI–enabled fraud losses could reach $40 billion annually in the U.S. by 2027.

This isn’t just a new attack tactic. It’s a structural shift in how identity fraud is created and scaled.

And it demands a new way of evaluating defense technologies.

While security teams may focus on detection benchmarks, leadership must ask broader questions around revenue protection, customer experience, accuracy across diverse populations, and adapting with the latest generative AI techniques.

Without the right evaluation framework, organizations risk choosing solutions built for yesterday’s threats.

Aware has created this eBook to help leaders evaluate deepfake defense technologies with clarity and confidence.

Inside, you’ll learn how to:

• Compare liveness approaches
• Evaluate fairness and performance
• Ensure scalability and global readiness
• Align with business and compliance goals
• + More!

If your organization is reviewing deepfake defense capabilities in the next 6–12 months, this framework should be part of that conversation.

Deepfakes are evolving rapidly. Your evaluation process should too.

Protect Revenue. Preserve Trust. Download the eBook: Evaluating Deepfake Defense Technologies.

Article Topics

Aware  |  deepfake detection  |  deepfakes  |  digital identity  |  fraud prevention  |  white paper