If lighting looks off, with harsh contrasts or mismatched shadows, it could be a sign of manipulation), blurriness (Edges, where the face is swapped, may appear blurred, distorted, or pixelated, especially if the transition between the fake and real parts is not smooth), audio anomalies (If the voice sounds robotic, lacks emotion, or doesn’t match the speaking style of the person being imitated, it could be a fake). In this Help Net Security interview, Andrius Popovas, Chief Risk Officer at Mano Bank, discusses the most prevalent AI-driven fraud schemes, such as phishing attacks and deepfakes. Therefore, if you receive a video or audio call, you need to pay attention to these red flags: strange facial movements (Look for unnatural expressions, mismatched lip movements, or awkward eye movement), inconsistent lighting (Natural videos typically have consistent lighting across a scene. From our practice, the most common are phishing attacks, when AI generates very realistic phishing emails or other messages (SMS, Viber, WhatsApp, etc.) that mimic actual companies, tricking users into revealing sensitive information like passwords or credit card numbers. AI manipulation of videos and audio, commonly known as deepfakes, utilizes machine learning algorithms to create realistic but altered content. These are AI-generated videos or audio recordings that can impersonate real people and successfully access sensitive or personal information. Popovas also outlines strategies for professionals to stay ahead of these scams and the role of governments in combating AI fraud. AI can also assist fraudsters in guessing or cracking account passwords, allowing them to take control of user accounts for Loan and Credit Application Fraud. Governments and international organizations play a crucial role in combating AI fraud through several key functions: regulation, policy formulation, enforcement, and international cooperation. Ensure all staff members are trained to recognize phishing attempts, deepfakes, and other AI-driven scams.
This Cyber News was published on www.helpnetsecurity.com. Publication date: Thu, 03 Oct 2024 05:13:09 +0000