Unauthorized third-party AI agents are accessing US bank accounts, according to a report by Axios. Some of these agents are even taking actions that appear to be independent of user instructions, though this is based on unnamed sources within several banking institutions. Many AI agents, including the cute and cuddly Muse, can access a user's bank account to perform actions on their behalf. This is already a security nightmare, as most banks mandate that humans log in to their own accounts. The problem is compounded when these agents start to buy things or shift money around.

The Muse app continues Meta's trend of opting users into data collection for AI training. It also nudges you to share your bank account, email, and passport information. I saw Meta's latest app, Muse, cross-promoted on another Meta-owned platform, Instagram, and decided to download the AI assistant. "Muse keeps working while you get on with your day." It's free to use, and easily connects to other data sources, like my email and bank account.

When you purchase through links in our articles, we may earn a small commission. AI is making cyberattacks worse. AI is making cyberattacks worse. But you can fortify your digital life so it stands up better to today's dangers. Here's how to build a digital disaster plan.

Inrecentyears, there has been a significant increase of publicly available unstructured data resources for computer vision and NLP tasks.

A mother of two says she was left penniless after giving her savings to Tinder predator Christopher Harkins in a fake investment scam. The pair matched on the dating app in London in 2020. Caitlyn - not her real name - told how the fraudster and rapist initially tried to talk her into going on holiday with him - a regular ruse of Harkins, now 38. When she said she couldn't afford a holiday, he offered to help by doubling what money she had via his foreign currency exchange business. She's one of four women the BBC is aware of who were targeted by Harkins in the capital - where he fled to after his crimes were exposed in Scotland.

--It is difficult for individuals and organizations to protect personal information without a fundamental understanding of relative privacy risks. By analyzing over 5,000 empirical identity theft and fraud cases, this research identifies which types of personal data are exposed, how frequently exposures occur, and what the consequences of those exposures are. We construct an Identity Ecosystem graph--a foundational, graph-based model in which nodes represent personally identifiable information (PII) attributes and edges represent empirical disclosure relationships between them (e.g., the probability that one PII attribute is exposed due to the exposure of another). Leveraging this graph structure, we develop a privacy risk prediction framework that uses graph theory and graph neural networks to estimate the likelihood of further disclosures when certain PII attributes are compromised. The results show that our approach effectively answers the core question: Can the disclosure of a given identity attribute possibly lead to the disclosure of another attribute? Different individuals and organizations have different sets of personally identifiable information (PII), and therefore have different perspectives on which PII attributes are more vulnerable, more valuable, and in greater need of protection. An individual's PII includes personal data in four different categories--What you Know (e.g., name, address, phone number, mother's maiden name), What you Have (e.g., driver's license, Social Security Card, employee ID, passport), What you Are (e.g., fingerprint, voice, facial image), and What you Do (e.g., patterns of life such as websites visited, GPS locations visited, phone logs) [1]. Protecting PII data can be costly and time-consuming. Research has uncovered various strategies to reduce risks of unintended data disclosure [2], including statistical disclosure limitation (SDL) techniques commonly used by national statistical agencies before releasing public-use data sets.

NetChoice Policy Director Patrick Hedger joins'Fox News Live' to explain why the United States must embrace artificial intelligence to stay ahead in national security. Lately, I've had way too many calls on my shows from people who have lost thousands (sometimes hundreds of thousands) to scams. These are so cleverly evil, it's like Ocean's Eleven but starring a dude with three Instagram followers and a ChatGPT subscription. Last chance to enter to win 500 in giveaway. You see, we're way past scam emails from sketchy Nigerian princes.

William Phelps was at work when he got the call from the FBI that he had to return home at once. It was December 2023 and his wife, Aurora Phelps, was in big trouble, something to do with a fraud scheme. About a dozen agents turned his apartment upside down looking for evidence in their case, and William Phelps wouldn't see his wife again. That is, until this week, when William came to learn the scope of the allegations against his wife. According to federal prosecutors, Aurora was the perpetrator of a deadly romance scam, connecting with older men on the internet, then drugging them and stealing from their bank accounts.

Kurt Knutsson joins "Fox & Friends" to discuss bank scams and a self-driving car that trapped a rider inside. Tech support scams have been around for years, but a new variant called the Phantom Hacker scam is rapidly gaining traction. It has cost victims, primarily older Americans, over 500 million since 2023. This scam is particularly deceptive because it unfolds in three carefully orchestrated phases and uses AI-powered social engineering tactics to avoid detection. Attackers leverage caller ID spoofing and AI-generated voices to make their scheme more persuasive, but there are ways to protect yourself.