The performance of Machine Learning (ML) and Deep Learning (DL)-based Intrusion Detection and Prevention Systems (IDS/IPS) is critically dependent on the relevance and quality of the datasets used for training and evaluation. However, current AI model evaluation practices for developing IDS/IPS focus predominantly on accuracy metrics, often overlooking whether datasets represent industry-specific threats. To address this gap, we introduce a novel multi-dimensional framework that integrates the MITRE ATT&CK knowledge base for threat intelligence and employs five complementary metrics that together provide a comprehensive assessment of dataset suitability. Methodologically, this framework combines threat intelligence, natural language processing, and quantitative analysis to assess the suitability of datasets for specific industry contexts. Applying this framework to nine publicly available IDS/IPS datasets reveals significant gaps in threat coverage, particularly in the healthcare, energy, and financial sectors. In particular, recent datasets (e.g., CIC-IoMT, CIC-UNSW-NB15) align better with sector-specific threats, whereas others, like CICIoV-24, underperform despite their recency. Our findings provide a standardized, interpretable approach for selecting datasets aligned with sector-specific operational requirements, ultimately enhancing the real-world effectiveness of AI-driven IDS/IPS deployments. The efficiency and practicality of the framework are validated through deployment in a real-world case study, underscoring its capacity to inform dataset selection and enhance the effectiveness of AI-driven IDS/IPS in operational environments.

People Who Say They're Experiencing AI Psychosis Beg the FTC for Help The Federal Trade Commission received 200 complaints mentioning ChatGPT between November 2022 and August 2025. Several attributed delusions, paranoia, and spiritual crises to the chatbot. On March 13, a woman from Salt Lake City, Utah called the Federal Trade Commission to file a complaint against OpenAI's ChatGPT. She claimed to be acting "on behalf of her son, who was experiencing a delusional breakdown." "The consumer's son has been interacting with an AI chatbot called ChatGPT, which is advising him not to take his prescribed medication and telling him that his parents are dangerous," reads the FTC's summary of the call.

The FTC Is Disappearing Blog Posts About AI Published During Lina Khan's Tenure The Federal Trade Commission removed several blog posts in recent months about open source and potential risks to consumers from the rapid spread of commercial AI tools. Lina Khan, former chair of the Federal Trade Commission, arrives to testify before Congress in 2024. In late July 2024, Lina Khan, then the chair of the US Federal Trade Commission, gave a speech at an event hosted by the San Francisco startup accelerator Y Combinator in which she positioned herself as an advocate for open source artificial intelligence. The event took place as California lawmakers were considering a landmark bill called SB 1047 that would have imposed new testing and safety requirements on AI companies. Critics of the legislation, which was later vetoed by California governor Gavin Newsom, argued it would hamper the development and release of open source AI models.

Things to Do in L.A. She thought she talking to her favorite celebrity. This is read by an automated voice. Please report any issues or inconsistencies here . Abigail Ruvalcaba was intrigued when a handsome daytime soap opera actor she'd been watching for years reached out to her in a Facebook message. His rugged exterior softened by his piercing blue eyes and an almost shy smile disarmed her.

But if you dig deeper, certain parts of the plan that didn't pop up in any headlines reveal more about where the administration's AI plans are headed. Here are three of the most important issues to watch. When Americans get scammed, they're supposed to be helped by the Federal Trade Commission. As I wrote last week, the FTC under President Biden increasingly targeted AI companies that overhyped the accuracy of their systems, as well as deployments of AI it found to have harmed consumers. The Trump plan vows to take a fresh look at all the FTC actions under the previous administration as part of an effort to get rid of "onerous" regulation that it claims is hampering AI's development.

A terrifying new scam is sweeping across the US, catching people off guard with fake threats of arrest and demands for payment. The FBI issued a warning about criminals impersonating federal officials in phone calls targeting potential victims. In some cases, callers falsely claim a victim's Social Security number is frozen or that a loved one must pay for GPS monitoring to be released from jail, creating a false sense of urgency. The scam relies on phone number spoofing technology, which falsifies caller ID to make it appear as though the call is coming from trusted government agencies. Federal agents say scammers are demanding thousands of dollars in payment via prepaid gift cards, wire transfers, or cryptocurrency ATMs.

Sam's Club is going register-free and introducing an all-digital, AI-powered shopping experience for its customers, a move that has privacy advocates worried that the new AI tool could be used to unfairly target some customers with higher-priced items based on their shopping habits. The all-digital approach started with the reconstruction of a Sam's Club in Grapevine, a suburb of Dallas, that was severely damaged in 2022 by a tornado. When the retail location opened two years later it was the first of its kind to ditch its registers for a "Scan and Go" program that allowed customers to scan each item placed in their physical cart and pay through a mobile app. This program has since been piloted in nine Dallas metro locations and one store in Missouri, Retail Dive reported. Instead of handing a receipt to a Sam's Club employee to review before leaving the store, customers walk through an arch that's equipped with AI-powered cameras to capture images of the items in the cart and electronically match them with the items paid for through the app. Sam's Club did not disclose when the AI technology would be coming to California stores but Sam's Club has outlets in Torrance, Fountain Valley, El Monte and Riverside.

The millions that US tech companies invested in currying favor with Donald Trump seemed to pay off this week as the new administration issued a flurry of directives that relaxed regulations and dropped lawsuits previously aimed at holding the industry to account. Crypto, AI and social media companies, many of which made donations to Trump, are all expecting to benefit. At the center of the administration's moves is Elon Musk, the world's richest man. Over the past week, federal agencies under the president's authority dropped legal fights against his rocket company and the US's biggest cryptocurrency exchange. The White House also issued a "deregulatory initiative" aimed at loosening tech-sector regulation by empowering Musk's Doge.

The Senate Judiciary Committee soon will hold confirmation hearings for Gail Slater for assistant attorney general, antitrust division. Slater's antitrust understanding is broad and deep; she previously worked in the Trump 45 administration, the Federal Trade Commission (FTC) and the private sector. She already has support from several senators and Attorney General Pam Bondi; she ought to be confirmed easily. Slater, once confirmed, FTC Chairman Andrew Ferguson, and their respective agencies should return to following the Consumer Welfare Standard ("CWS"), which has been the law of the land since the Supreme Court's 1979 Reiter v. Sonotone opinion. Reiter adopted CWS from Professor Robert Bork's seminal 1978 book, "The Antitrust Paradox," which explained that competition leads companies to benefit consumers through, for example, lowering prices, growing output, improving customer service, expanding research and development, and increasing innovation.

After losing her husband, "Beatrice" turned to an online dating site for seniors during the COVID-19 pandemic. She quickly matched with and fell hard for a person she thought was a 66-year-old Spanish lumberjack who looked uncannily like her husband. "I was missing not having him here to talk about, you know, what was going on in the world and everything," Beatrice, who asked that her real name not be used, told Homeland Security Investigations (HSI). "So, somebody suggested to go online through a dating service… and this guy's pictures show up and he's just, you know, no George Clooney, nothing gorgeous, but in fact, he had a resemblance to my husband." The man spent about four months texting and calling the woman before he felt he had gained her trust – then, he began asking her to wire him money.