Tag: day
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Cloud Blog: Too many threats, too much data, say security and IT leaders. Here’s how to fix that
Source URL: https://cloud.google.com/blog/products/identity-security/too-many-threats-too-much-data-new-survey-heres-how-to-fix-that/ Source: Cloud Blog Title: Too many threats, too much data, say security and IT leaders. Here’s how to fix that Feedly Summary: An overwhelming volume of threats and data combined with the shortage of skilled threat analysts has left many security and IT leaders believing that their organizations are vulnerable to cyberattacks…
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Slashdot: VPN Downloads Surge in UK as New Age-Verification Rules Take Effect
Source URL: https://news.slashdot.org/story/25/07/27/1957211/vpn-downloads-surge-in-uk-as-new-age-verification-rules-take-effect Source: Slashdot Title: VPN Downloads Surge in UK as New Age-Verification Rules Take Effect Feedly Summary: AI Summary and Description: Yes Summary: The surge in signups for Proton VPN following the implementation of the UK’s age verification law indicates a growing concern regarding privacy among users. The law’s requirement for explicit content…
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Slashdot: Did a Vendor’s Leak Help Attackers Exploit Microsoft’s SharePoint Servers?
Source URL: https://it.slashdot.org/story/25/07/27/0337218/did-a-vendors-leak-help-attackers-exploit-microsofts-sharepoint-servers?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Did a Vendor’s Leak Help Attackers Exploit Microsoft’s SharePoint Servers? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a serious security concern regarding zero-day exploits targeting Microsoft’s SharePoint servers, emphasizing potential leaks of vulnerability information and the impact of generative AI tools like Google Gemini in…
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Schneier on Security: Subliminal Learning in AIs
Source URL: https://www.schneier.com/blog/archives/2025/07/subliminal-learning-in-ais.html Source: Schneier on Security Title: Subliminal Learning in AIs Feedly Summary: Today’s freaky LLM behavior: We study subliminal learning, a surprising phenomenon where language models learn traits from model-generated data that is semantically unrelated to those traits. For example, a “student” model learns to prefer owls when trained on sequences of numbers…