FACIA Delivers 100% Accuracy on Meta’s Deepfake Challenge Dataset

Regulators worldwide are moving to ban and legislate against non-consensual deepfake content, placing pressure on platforms to detect and moderate it effectively. But effective compliance with deepfake laws relies on one thing: reliable deepfake detection. Organizations are asking—which tool works best, how should it be chosen, and how can accuracy in deepfake detection be ensured without disrupting real users? At FACIA, we deliver the answers.

FACIA has proven its ability to combat the deepfake detection challenge with exhaustive testing on real-world datasets. This unparalleled benchmark in the fight against deepfakes, achieving a perfect 100% accuracy on Meta’s deepfake challenge dataset underscores the exceptional capabilities of our deepfake detection solution, propelling us to the forefront of the industry. Through extensive development and testing, FACIA has proven its deepfake detection capabilities are not just incremental but represent a significant leap forward in safeguarding the digital space.

We are not just participating in the fight against deepfakes; we’re leading it. 

To make sure our deepfake detection works in the real world, not just a lab, we put it to the test against two key challenges: the standard DFDC dataset and our own custom-built dataset made with the latest AI tools. This lets us answer the most important question for our partners: ‘Can FACIA actually catch these things as they evolve?’ We can confidently say, backed by extensive testing and results, yes, it can.

DFDC vs. In-House Real World Deepfake Testing

We tested our algorithm in two phases. Phase one was the standard benchmark: Meta’s DFDC dataset. This dataset is a publicly offered and claimed benchmark designed to promote the development of deepfake detection technology by Meta. It uses eight older manipulation techniques, simulating common deepfake threats across more than 2,100 videos. Our score? 100%. We detected every deepfake. 

Phase two was the real test. The technology in the DFDC is outdated, so we built our own dataset with 13 of the most advanced generative AI tools on the market today, including GetImg and Dream.ai. We created 3,430 synthetic images that look like the fakes you’d see in the wild right now.

On this much harder test, our model achieved 89.01% accuracy. To put it simply, out of more than 3,400 modern fakes, it only got it wrong on 346. It’s a powerful result that shows high precision against cutting-edge tech and clearly highlights our path for continuous improvement.

Market Disruptive Results

To further test our pipeline’s robustness and to gain more proof of our system’s reliability, we benchmarked it against a wide array of other public deepfake datasets. The numbers speak for themselves:

• FaceForensics: 17,273 images. 100% accuracy.
• Celeb-DF: 5,638 images. 100% accuracy.
• WildDeepfake: 1,153 images. 100% accuracy.
• OneMillionFaces: 53,132 images. 100% accuracy.

Across more than 99,000 additional images from these varied sources, our final accuracy rate was an outstanding 99.6%. This isn’t just a good score; it’s confirmation that our pipeline is built to adapt and perform reliably against different data, evolving threats, and unexpected challenges.

How FACIA Outperforms Traditional Deepfake Detection

FACIA has proven its capability in detecting deepfake attacks on ID verification systems with securing businesses that require a higher level of assurance in authentication. This enterprise-grade technology has helped to protect financial services, remote onboarding and other high-risk environments from sophisticated spoofing attempts for years.

Similarly, for detection and prevention of deepfake media such as non-consensual images or videos, FACIA has backed its accuracy claims with extensive testing and results. Using the following methods, FACIA delivers a market-leading deepfake detection solution: 

• Detects 53+ spoof attack types—more than any competitor—including deepfakes, masks and 3D-printed models
• Utilizes 10+ deepfake detection models for highly accurate synthetic media identification
• Delivers sub-second response times, with both cloud and on-premise options, all while maintaining the lowest FAR and FRR rates in the industry.

This approach is what allows FACIA to not only detect today’s deepfakes but to stay ahead of developing technology as well. 

How Safe Is Your Platform, Really?

Today, if you run a digital business, you’re facing a new kind of risk. Just one viral deepfake can completely erode trust, ruin your reputation, and even put your platform in legal hot water. It doesn’t matter if you’re managing a social media site, a bank, a dating app, or an online school—you need to ask yourself:

• Can we really spot synthetic media before it spreads like wildfire?
• Are we keeping up with rules like KYC, AML, and all those data protection laws?
• Are our verification systems strong enough to stop AI-generated fraud?

The good news? FACIA has the solution that tackles all three.

Use Case Versatility

FACIA’s deepfake detection is not limited to fintech or ID verification. We’re currently expanding across:

• Social Networks & Community Platforms
• Remote Work and Education Platforms
• Law Enforcement & Evidence Authentication

If your users are vulnerable, your platform must be defensible. FACIA helps you achieve that.

Future-Forward Roadmap

We’re not stopping here. Our R&D team continues to fine-tune FACIA’s models against newer datasets, emerging threats, and AI breakthroughs. Our next milestones include:

• Real-time video-based deepfake rejection in <0.5 seconds
• Adaptive learning pipelines to detect unseen synthesis models
• Seamless SDK/API support for cross-platform integrations

With 99.6% accuracy across over 100k samples, FACIA is already ahead. But our goal is not just to match the pace of deepfake tech—it’s to outsmart it.

Conclusion

Deepfakes aren’t just a fascinating tech trend; they’re a serious business risk, a real legal hazard, and a genuine threat to user safety. In a digital world where trust is becoming increasingly rare, FACIA helps your business stand out as a reliable exception.

Let us show you how we do it. Book a demo today.