AI Fraud

Avoid Social Media Scams in 2026: Essential Safety Tips for Digital Parties and More Scams on social media are nothing new, but the tactics keep evolving. By 2026, fraudsters are using AI-generated deepfake videos and voice calls to impersonate friends and lure people into fake event invitations. A recent report from Yellowhammer News’s “Fraud EDU” series highlights how these “digital party traps” are becoming more common and harder to spot. This article breaks down what is happening, why it matters to everyday users, and what concrete steps you can take to protect yourself and your accounts. ...

How AI Is Powering a New Wave of Fake Online Shops (and How to Spot Them) Intro If you’ve come across an online store that looks polished, has hundreds of glowing reviews, and is selling popular items at deeply discounted prices, you might be looking at a scam that’s increasingly common. Scammers are now using artificial intelligence to build convincing fake e-commerce sites that exist only to steal your credit card information. ...

How to Spot, Stop, and Handle Modern Scams Scams aren’t what they used to be. The days of easily spotted fake checks and poorly written “Nigerian prince” emails are fading, replaced by sophisticated schemes that leverage artificial intelligence, personal data, and psychological manipulation. Recent data, including a Yahoo report indicating a 50% surge in identity theft over the last two tax seasons, underscores that these threats are not only evolving but escalating. This guide provides a clear, three-part strategy to navigate this landscape: recognizing the new threats, building strong defenses, and knowing exactly what to do if you become a target. ...

The Scammer’s Playbook Has Changed. Here’s Your New Defense Plan. Remember when spotting a scam was about checking for poor grammar or a suspicious email address? That playbook is outdated. Today’s fraudsters wield sophisticated tools, including artificial intelligence, to create incredibly convincing cons. Recent security briefings, like those from Investopedia in April 2026, highlight a clear shift: the threats are more personalized, more emotionally manipulative, and harder to detect than ever before. ...