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LastPass Says Hackers Stole Customer Support Case Data During Klue Breach

1 week 6 days ago
LastPass says hackers stole customers' personal information, support case records, and sales data by breaching market research partner Klue. The password manager told TechCrunch that its own systems and password vaults were unaffected. However, the hackers used their access to obtain "reams of data about LastPass customers," the report says. From the report: In a blog post that shared information about the incident, LastPass said the hackers took customers' names, phone numbers, email addresses, and physical addresses, as well as customer support case data and sales-related data. It's not yet known what was in the contents of customer support tickets, although they likely contain fragments of potentially private or sensitive information. Customers typically contact customer service when they are having a billing issue or need assistance in gaining access to their accounts. Past incidents involving customer support tickets have included credentials and government-issued identity documents. The last data breach LastPass reported was in 2022, when hackers stole the company's entire store of customer password vaults.

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Anthropic Says Alibaba Must Be Punished For Largest Claude Cloning Attack

1 week 6 days ago
An anonymous reader quotes a report from Ars Technica: Anthropic has accused the Chinese firm Alibaba of launching the largest attack yet attempting to clone Claude, as China races to match the capabilities of Anthropic's leading model following Mythos' release and subsequent restriction from foreign markets. Ars obtained a June 10 letter sent to Senators Tim Scott (R-S.C.) and Elizabeth Warren (D-Mass.) one day ahead of a Senate committee hearing on "AI and the American Dream." In the letter, Anthropic shared "new, confidential evidence of the largest campaign to illicitly extract Claude's capabilities we have ever measured." The attacks occurred between April 22 and June 5, when "operators afliated with Alibaba and Alibaba Qwen, Alibaba's AI lab" allegedly generated "more than 28.8 million exchanges with Claude through almost 25,000 fraudulent accounts," Anthropic said. Violating Claude's terms of service and access restrictions, this campaign "targeted some of Claude's most valuable capabilities, such as agentic reasoning, software engineering, and long-horizon tasks." According to Anthropic, Alibaba evaded detection by "using obfuscation techniques and proxy networks." As Chinese demand for reliable obfuscation techniques increases, Anthropic warned there's already "a growing circumvention economy" to fuel an ever-expanding web of future distillation attacks. [...] "Alibaba is governed by an independent board, none of whom has any military affiliation," Alibaba said. "Its products and services are built for retail, logistics, and enterprise information technology -- not weapons, defense, or intelligence." Anthropic appears unconvinced, however, that Alibaba isn't working with the Chinese government. In the letter, Anthropic warned that without stronger interventions, these distillation attacks will "help China reach Mythos Preview-level capabilities sooner." To keep the US ahead of China, Anthropic recommended that Congress pass legislation with three objectives. First, antitrust laws must be updated to allow AI firms to share information about evolving Chinese tactics to deter more threats. Second, the US needs more export controls on chips to hamstring Chinese access to advanced compute so that they simply can't train on US model outputs. That could make conducting distillation attacks pointless, Anthropic suggested. Finally, Congress should pass laws penalizing Chinese labs' "bad behavior" so that it's "more difficult and costly" to rely on distillation attacks to advance Chinese models. Penalties could include limiting Chinese firms from accessing US models or advanced US chips or from relying on data centers outside of China, Anthropic suggested.

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Ford Rehires 350 Engineers After AI Fails To Preserve Expertise or Train Juniors

1 week 6 days ago
After Ford's automated quality-control systems and AI tools fell short, the automaker hired 350 veteran engineers over the past three years to mentor younger staff and reprogram the underperforming technology. "Artificial intelligence is a fantastic tool, but it's only as good as the information you use to train it," Charles Poon, Ford's vice president of vehicle hardware engineering, told reporters on a call Wednesday. "Over prior years, we didn't pay as much attention as we should have to the experience of our most knowledgeable engineers that have been with us through many product cycles." Bloomberg reports: Those engineers were "at the heart" of Ford's efforts to turn around quality problems, said Kumar Galhotra, chief operating officer. They now run mandatory meetings that rigorously troubleshoot quality problems and they have reprogrammed AI tools to head off glitches before they happen. "We had been relying more and more on automated quality systems" and not getting the desired results, Galhotra said. "We brought back technical specialists" and "they hunt for failure points before a part ever reaches the plant floor." The return of the veteran engineers at Ford cuts against the prevailing wisdom -- and fear -- that AI will replace all kinds of knowledge workers. But Ford found the machines couldn't replace experience. "Mistakenly we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that that would produce a high-quality product," Poon said. But "we recognized that for us to enhance some of our automation and machine learning and artificial intelligence tools we needed to ensure that they were trained by the most experienced individuals." As a result of the efforts of the old hands, Ford vaulted above quality stalwarts such as Toyota and Honda on JD Power's bellwether survey that measures the quality of a car during the first three months of ownership. Only luxury brands Porsche and Genesis topped Ford this year.

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