Post by Veridil

How to detect a deepfake? The more we looked into deepfakes, the more we realized how unprepared most people are for what’s coming. We started searching for a simple, practical guide we could share, something people could use to understand the risks and spot the obvious signs. We couldn’t find one that felt right, so we created it ourselves with examples. The problem is much worse than most people realize because with every new generative AI model we are less secure. Even on LinkedIn, more than 50% of the content is AI-generated or AI-enhanced. We will soon face a real authenticity crisis. 𝗪𝗵𝗮𝘁 𝗱𝗼 𝘀𝘁𝗮𝘁𝘀 𝘀𝗮𝘆 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗔𝗜 𝗳𝗿𝗮𝘂𝗱:  - Face swap attacks: Up 𝟳𝟬𝟰% in six months  - Identity fraud: Up 𝟰𝟮% in 2024  - 𝟯𝟬%+ of enterprises may question biometric systems by 2026  - ID fraud: Up 𝟲𝟬𝟬%+ since 2019 𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝘁𝗵𝗲𝗻 𝗱𝗲𝘁𝗲𝗰𝘁 𝗔𝗜-𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗰𝗼𝗻𝘁𝗲𝗻𝘁? - Basic training goes a long way. Train your team to recognize the most common signs of AI-generated fraud. - For images and video: Look for unnatural text, poor lip-sync, perfect lighting and composition, style of the image, blurry edges, and lighting that doesn't make sense. - AI models still struggle with physics, often producing inconsistent shadows, reflections, and unrealistic light direction. - If your business processes large volumes of potentially fraudulent data, combine human expertise with AI-powered fraud detection and automated verification. If this sounds interesting, check out link to our blog in the comments or reach out to us!