Companies like Lovable, Base44, Replit, and Netlify use AI to let anyone build a web app in seconds--and in thousands of cases, spill highly sensitive data onto the public internet. As AI increasingly takes over the work of modern programmers, the cybersecurity world has warned that automated coding tools are sure to introduce a new bounty of hackable bugs into software. When those same vibe-coding tools invite anyone to create applications hosted on the web with a click, however, it turns out the security implications go beyond bugs to a total absence of any security--even, sometimes, for highly sensitive corporate and personal data. Security researcher Dor Zvi and his team at the cybersecurity firm he cofounded, RedAccess, analyzed thousands of vibe-coded web applications created using the AI software development tools Lovable, Replit, Base44, and Netlify and found more than 5,000 of them that had virtually no security or authentication of any kind. Many of these web apps allowed anyone who merely finds their web URL to access the apps and their data.

Hackers and other cybercriminals are complaining about "AI shit" flooding platforms where they discuss cyberattacks and other illegal activity. "I'm disappointed that you are working to incorporate AI garbage into the site," one annoyed person, posting anonymously, said in an online message. "No-one is asking for this--we want you to improve the site, stop charging for new features." Only, this is not a regular internet user moaning about AI being forced into their favorite app . Instead, they are complaining about a cybercrime forum's plans to introduce more generative AI.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . Toyota's CUE7 robot shoots hoops using AI You don't need an SSN to open a credit card: Scammers know that Mexico's climate supercomputer could change forecasting Watters' Cooler: America got catfished US has to'get creative' in combat in Iranian waters: Joey Jones Michael Easter and Gary Brecka discuss the'choice' to live to be 100 Microsoft Anthropic's Mythos AI found over 2,000 unknown software vulnerabilities in just seven weeks of testing Fox News Flash top headlines are here. Check out what's clicking on FoxNews.com.

Monitoring binomial proportions across multiple independent streams is a critical challenge in Statistical Process Control (SPC), with applications from manufacturing to cybersecurity. While EWMA charts offer sensitivity to small shifts, existing implementations rely on asymptotic variance approximations that fail during early-phase monitoring. We introduce a Cumulative Standardized Binomial EWMA (CSB-EWMA) chart that overcomes this limitation by deriving the exact time-varying variance of the EWMA statistic for binary multiple-stream data, enabling adaptive control limits that ensure statistical rigor from the first sample. Through extensive simulations, we identify optimal smoothing (λ) and limit (L) parameters to achieve target in-control average run length (ARL0) of 370 and 500. The CSB-EWMA chart demonstrates rapid shift detection across both ARL0 targets, with out-of-control average run length (ARL1) dropping to 3-7 samples for moderate shifts (δ=0.2), and exhibits exceptional robustness across different data distributions, with low ARL1 Coefficients of Variation (CV < 0.10 for small shifts) for both ARL0 = 370 and 500. This work provides practitioners with a distribution-free, sensitive, and theoretically sound tool for early change detection in binomial multiple-stream processes.

'Lethal cyber-attacks are thankfully rare. But a new AI release could change that.' 'Lethal cyber-attacks are thankfully rare. But a new AI release could change that.' Anthropic's new AI tool has implications for us all - whether we can use it or not Claude Mythos's apparent superhuman hacking abilities are alarming experts as the Trump administration remains blinded by hostility I n June 2024, a cyber-attack on a pathology services company caused chaos across London's hospitals. More than 10,000 appointments were cancelled. Blood shortages followed and delays to blood tests led to a patient's death . Lethal cyber-attacks like this are thankfully rare.

What happens when AI can hack everything? For the past several weeks, Anthropic says it secretly possessed a tool potentially capable of commandeering most computer servers in the world. This is a bot that, if unleashed, might be able to hack into banks, exfiltrate state secrets, and fry crucial infrastructure. Already, according to the company, this AI model has identified thousands of major cybersecurity vulnerabilities--including exploits in every single major operating system and browser. This level of cyberattack is typically available only to elite, state-sponsored hacking cells in a very small number of countries including China, Russia, and the United States.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG .

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG .

Hospital cyberattacks like the University of Mississippi Medical Center ransomware incident disrupt patient care. Ricardo Amper explains why healthcare systems are targets.

The Online Services Accord Against Scams was signed by major tech companies including Google, Microsoft and OpenAI. A coalition of Big Tech companies is working on a more comprehensive solution to combat online scams . As first reported by, Google, Microsoft, LinkedIn, Meta, Amazon, OpenAI, Adobe and Match Group announced the signing of the Online Services Accord Against Scams. The new agreement is meant to put up a united industry-wide front against online fraud and scams, particularly those from sophisticated criminal networks that use multiple platforms. According to the report, the measures will include adding fraud detection tools, introducing new user security features, and requiring more robust verification for financial transactions.