🔍 My research on deepfake threats reveals a dangerous overconfidence gap. A lot of people I interview say: “Sure, it’s dangerous, but I’ll know.” They’re worried about protecting elderly relatives or decision-impaired individuals, but believe they can easily spot fakes themselves.Bad actors’ use audio attacks more frequently, while video malicious deepfakes are mostly used for … Read more

It is becoming difficult to distinguish whether some images are real or generated by AI. On first glance, many AI-generated images appear real. However, a second look often reveals a number of artifacts and implausibilities that can help a critical viewer identify that an image was generated by AI. 🚩 Shoutout to incredible research by … Read more

¡Bienvenidos to 2025 – the “breakout year” for AI-driven social engineering! 🤡 Today’s LLMs can search the web in real time, while AI agents take it further—autonomously designing workflows and using discovered information to inform their attacks.It no longer seems like hyperbole to imagine an AI-based bot that can perfectly tailor social engineering attacks to … Read more

Just got the email: LinkedIn is using our content to train AI models – unless we proactively opt out. LinkedIn will use posts, comments, and other data to train generative AI models. Silence means consent in these updates. 💡 I will opt out. FYI: Opting out only affects future training, not past data collection.While most … Read more