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.
Without the right evaluation framework, organizations risk choosing solutions built for yesterday’s threats.
What This Guide Delivers
Leverage this practical executive framework designed to help leaders evaluate deepfake defense technologies with clarity and confidence.
Inside, you’ll learn how to:
✔ Distinguish between face matching and true liveness detection
✔ Evaluate passive vs. active liveness approaches
✔ Assess bias, fairness, and demographic performance
✔ Determine scalability across high-volume and global environments
✔ Understand how quickly a solution can adapt to emerging deepfake techniques
✔ Align identity assurance decisions with revenue, compliance, and brand strategy
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 Executive Guide.
Learn more about AwareSDK Intelligent Liveness.
