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Sep 3

Do AI Video Detectors Work?

Matt Bristow
https://colossyan.com/posts/do-ai-video-detectors-work

Deepfakes and AI-generated media are becoming more sophisticated and pose significant challenges to cybersecurity. 

It's important to assess how well AI video detectors can identify such media, and how you can be prepared for the next wave of scams and tricks.

The rise of AI-generated media

Deepfakes are emerging as a major cybersecurity threat that can result in some pretty significant financial losses. 

Recent cases where a multinational firm lost $25.6 million due to a deepfake scam highlight the importance of awareness around deepfake detection. 

On a macro scale, by 2027, fraud losses in the U.S. are expected to reach $40 billion, largely driven by the introduction of cutting edge deepfake technology.

However, as detection technologies are advancing, with tools like ScreenApp's AI video detector, claiming over 95% accuracy in identifying AI-generated content. This is crucial for media organizations and digital forensics experts. Hive AI Detector uses machine learning for the same purpose, allowing users to scan content for deepfakes without even logging in.

Evaluating the effectiveness of AI video detectors

AI detection technology, like AIornot.com, achieves a remarkable (but self-professed) 98.9% accuracy. This is effective in sectors like finance and media. Other tools like McAfee's Deepfake Detector are also on the market, boasting a 96% accuracy rate. 

Yet, these technologies face challenges. The sophistication of new deepfakes allows them to sometimes bypass human detection, and detectors are constantly playing catch up with developing technologies.

How Colossyan can assist

At Colossyan, we believe strongly in the power of AI to help businesses upskill and train their workforce via video: the most engaging training format.

Whilst AI video detectors are good at detecting the contents of a video and whether an AI created it, it isn’t a catch-all. The most impactful way to avoid deepfake attacks is by training your workforce to practice solid online safety protocols. You can use Colossyan to create this training in minutes, we even have templates built specifically for cybersecurity, meaning you can get a training course up and in front of your learners in a fraction of the time from using traditional methods.

L&D teams using Colossyan can even leverage our analytics features to gain real-time insights into how effective their training is. This allows them to adapt content swiftly to educate about deepfake detection. Our customizable avatars and interactive quizzes can also simulate scenarios involving AI-generated content, boosting engagement and retention for learners.

Conclusion

AI video detectors are crucial for spotting AI-generated media today. 

They provide the first line of defense against deepfakes. With AI technology continually advancing, it's vital for these tools to evolve alongside it. 

Colossyan offers a comprehensive and holistic solution by providing engaging educational content. 

This prepares organizations and individuals to tackle the challenges posed by AI-generated media. 

Through our platform, organizations can modernize their training content, secure their materials, and deliver measurable results efficiently. By doing so, we ensure that those who rely on us have the resources to both understand and counter AI-generated threats in their fields.

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Matt Bristow
Senior Performance Marketing Manager

Matt is a performance marketer obsessed with spreadsheets, retro technology and getting hopelessly lost in the great outdoors. When not writing and launching paid ads, he'll usually be running, hiking, coding or watching the same four Netflix shows on repeat.

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