A type of artificial intelligence (AI) called “deepfake” can be used to produce realistic fake sounds, images, and videos.According to Merriam-Webstar, an image or recording that has been convincingly altered and manipulated to misrepresent someone as doing or saying something that was not actually done or said. Deepfake uses machine learning algorithms to combine fake sounds and visuals. Consequently, it produces individuals and events that are either nonexistent or did not truly occur.
Deepfake attacks have alarmingly escalated globally.The use of digital cloning in cyberattacks poses a serious threat. Scam calls can sound remarkably natural thanks to AI-powered text-to-speech services, which is increasing the effectiveness of vishing (voice phishing) efforts.
Generative adversarial networks, are used in deepfake. Deepfake is being supported by pre-trained generative adversarial networks (GANs) that can accurately replace one person’s face in a video or image for another.
According to experts, Deepfakes are being used by cybercriminals, especially on banking and cryptocurrency platforms, to get beyond know-your-customer (KYC) procedures.Cybercriminals are using deepfake technology to create movies that mimic actual person and create new accounts in their names.
When a financial account is flagged due to suspicious behavior, cybercriminals employ deepfakes to get around account recovery procedures by creating realistic films that pass identity verification and allow access to the compromised account.
By using tools to mimic the voice of a geniune account holder, fraudsters can trick these systems into allowing access to bank accounts through voice spoofing.
Cybercriminals use deepfake technology for sextortion.Nudify AI Apps generate realistic nude images of targeted people without their consent by using AI algorithms to digitally change photos that are clothed.
