Deepfake

Fraud EDU: How to Avoid Social Media Scams and Digital Party Traps in 2026 If you use social media regularly, you have probably noticed that the scams have gotten harder to spot. In 2026, fraudsters are no longer just sending clumsy phishing emails or posting fake giveaway links. They are using AI-generated videos that look and sound like people you trust, and they are baiting users with realistic invitations to events that don’t exist. ...

6 Ways to Update Your Privacy Tools for the AI Era The rise of generative AI hasn’t just changed how we create content—it has fundamentally altered the cybersecurity landscape. According to the World Economic Forum’s Global Cybersecurity Outlook 2026, AI is accelerating cybercrime by exposing vulnerabilities and enabling new attack vectors that traditional privacy tools weren’t designed to handle. For the average user, simply having a password manager and a VPN is no longer enough. The tools you relied on five years ago need updating, and so do your habits. ...

Grok’s AI Image Generator Violates Privacy Law: How to Protect Your Photos Canada’s privacy regulator has ruled that Grok’s AI image generator broke the law by scraping photos from the web without people’s consent. The decision is one of the first major enforcement actions against a popular AI tool and has implications for anyone who posts images online. Here’s what happened, why it matters, and what you can do to keep your pictures from being used without your permission. ...

How Medical Imaging AI Could Expose Your Private Health Data — and What to Do Artificial intelligence is making medical imaging faster and more accurate, but recent research reveals a darker side: the same AI tools that help radiologists spot disease can also be turned against patients. Deepfake X-rays, model inversion attacks, and security gaps in large language models (LLMs) are creating new ways for personal health data to be exposed or manipulated. Here’s what’s happening and how you can protect yourself. ...

Your Medical Scans Could Be Faked: How AI Is Creating New Privacy Risks Medical imaging plays a central role in diagnosis, from broken bones to cancer detection. But a new set of risks is emerging as artificial intelligence becomes sophisticated enough to generate convincing fake X-rays, CT scans, and MRIs — and to automate attacks on the systems that store and transmit those images. Recent reports from the Radiological Society of North America (RSNA) highlight that these threats are no longer theoretical. ...

How Medical Imaging AI Could Expose Your Private Health Data — and What to Do About It Artificial intelligence is transforming radiology. Algorithms now help detect tumors, fractures, and other abnormalities faster than a human eye might catch them, sometimes with higher accuracy. But the same technology that powers these advances also creates new risks for patient privacy. A recent study presented at the Radiological Society of North America (RSNA) 2026 meeting revealed that deepfake X‑rays can fool both radiologists and the AI systems meant to catch problems. This is not a hypothetical threat. Real medical images are being used to train AI models, and the safeguards around that data are often weaker than patients assume. ...

Your Medical Scans Are at Risk: How AI Is Creating New Privacy Threats Artificial intelligence is becoming a standard part of radiology. It helps radiologists spot fractures, tumors, and other abnormalities faster and sometimes more accurately than a human eye alone. That is good news for diagnosis. But the same technology that makes AI helpful in reading scans also makes it possible to create convincing fake images, and medical imaging data has become a high-value target for cybercriminals. Patients who undergo X-rays, MRIs, or CT scans should understand what these changes mean for their privacy. ...

How AI in Medical Imaging Could Expose Your Private Health Data (And What to Know) Medical imaging has quietly become one of the most promising fields for artificial intelligence. Algorithms can now help radiologists spot tumors, measure organ sizes, and flag abnormalities faster than ever. But a recent report from the Radiological Society of North America (RSNA) warns that these same tools also introduce serious privacy risks—some of which patients and providers are only beginning to understand. ...

The Hidden Privacy Risks of Medical Imaging AI—and What You Can Do Artificial intelligence is becoming a standard tool in radiology. It helps detect tumors, fractures, and other abnormalities faster than traditional methods. But as AI digs deeper into medical images, it also opens new avenues for privacy breaches, data theft, and even fraud. A recent report from the Radiological Society of North America (RSNA) warns that AI in medical imaging introduces a Pandora’s box of privacy risks—and the issue is already here. ...

How to Protect Your Medical Images from AI Privacy Risks Introduction Medical imaging AI is transforming diagnostics—helping radiologists detect tumors earlier, reduce reading times, and improve accuracy. But this technology also introduces new privacy risks that many patients aren’t aware of. Recent reports from the Radiological Society of North America (RSNA) have highlighted how AI tools can be misused to create deepfake X‑rays, how large language models (LLMs) introduce cybersecurity vulnerabilities in radiology departments, and how medical images stored in the cloud may be vulnerable to breaches. ...