Deepfakes and Misinformation: How to Protect Your Media

Deepfakes are no longer a technological curiosity. In 2026, they represent a real threat to individuals, businesses, and institutions.

The scale of the problem

The number of deepfakes detected online has increased tenfold in three years. AI image generation tools have become free, accessible, and disturbingly high-quality. Anyone can now create a realistic fake photo in seconds.

Why detection is not enough

Many deepfake detection tools exist, but they have fundamental limitations. The most robust approach is not trying to detect fakes after the fact, but certifying genuine content at the moment of capture.

Certification as an anti-deepfake shield

Truth-Check reverses the paradigm: instead of asking "is this image fake?", you can now ask "is this image certified?". The difference is crucial:

• Direct capture: only photos and videos taken in real-time from the app can be certified.
• Locked metadata: date, time, GPS, and device model are recorded in an unalterable way.
• Universal verification: anyone can verify a certificate through a simple web link.

Protecting videos too

Video deepfakes are even more dangerous than still images. Truth-Check also certifies short videos by extracting frames at regular intervals and creating a certified animated GIF, accompanied by an audio transcript.

A reflex to adopt

The best protection against deepfakes is not a sophisticated detection algorithm: it's irrefutable proof that your media is authentic. In a world where seeing is no longer believing, certification is becoming the new standard for visual trust.