Analyze your image and video files with our proprietary deepfake detection solution. Our solution is designed to recognize the latest AI-based media manipulation and synthesis techniques, including fake human faces in social media profiles, and realistic face swaps in videos.
What can our solution detect?
Face Swap
Deepfakes are used in real time by fraudsters to impersonate their victims in the case of identity theft or celebrities to organize fraud schemes on social media. Face swap and face reenactment are similar techniques where a target victim’s face is either swapped onto the attacker’s head or controlled by the attacker’s head movements. Similarly, deepfakes are also used to generate thousands of fake personas that can move and talk, with the goal to spoof automated KYC processes by brute force. Deepfake detection uses the latest advances in deep learning and image forensics to determine whether a person in the video is genuine.
AI Generated Voices
AI-generated voices from large language models have become virtually indistinguishable from genuine human voices. These tools are exploited for deception during online communication, voice impersonation, and for automating the spread of misinformation, social engineering, and cyberattacks. Zero-shot machine-generated voice detection is achieved by assessing the probability that segments of audio are produced by popular AI voice services. This detector remains robust even when the content is edited by human operators, including alterations in wording, punctuation, and even mispronunciations.
Detecting AI-Generated Images
Detecting AI-Generated models like Dall-E, Stable Diffusion, Mid Journey are extraordinary tools for content creation without being a graphic expert. The high accuracy in creating realistic face and full body figures will definitely pose challenges to detection solutions. Our solution can detect AI-Generated images and diffusion models creation with the highest accuracy.
Generative Adversarial Networks
Synthetic identities are commonly generated in the form of images by GANs (Generative Adversarial Networks). GANs are used as fake personas and bot accounts on social media and dating sites. Our solution’s detector is trained on millions of GAN-generated images found online under various conditions of compression, cropping, and photo filters. They are trained to spot artefacts and high- frequency signals characteristics of AI- generated images, which natural photos are unlikely to possess.