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Tag: core

  • Slashdot: AI Support Bot Invents Nonexistent Policy

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/04/18/040257/ai-support-bot-invents-nonexistent-policy?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Support Bot Invents Nonexistent Policy Feedly Summary: AI Summary and Description: Yes Summary: The incident highlights the risks associated with AI-driven support systems, particularly when misinformation is disseminated as fact. This has implications for user trust and can lead to direct financial impact through subscription cancellations. Detailed Description:…

  • CSA: Data Security Evolution: From DLP to DSPM

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    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/the-evolution-of-data-security-from-traditional-dlp-to-dspm Source: CSA Title: Data Security Evolution: From DLP to DSPM Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the rising significance of Data Security Posture Management (DSPM) in the context of evolving data security challenges faced by organizations, particularly as reliance on AI and cloud services grows. It highlights…

  • CSA: Defending Against SSRF Attacks in Cloud Native Apps

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    Kurt Seifried
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    Source URL: https://www.sweet.security/blog/defending-against-ssrf-attacks-in-cloud-native-applications Source: CSA Title: Defending Against SSRF Attacks in Cloud Native Apps Feedly Summary: AI Summary and Description: Yes Summary: The text outlines the increasing prevalence of Server-Side Request Forgery (SSRF) attacks, particularly in cloud environments, as exemplified by a real incident involving a Fintech customer of Sweet Security. It emphasizes the limitations…

  • Slashdot: ChatGPT Models Are Surprisingly Good At Geoguessing

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    Kurt Seifried
    in

    Source URL: https://yro.slashdot.org/story/25/04/17/1941258/chatgpt-models-are-surprisingly-good-at-geoguessing?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ChatGPT Models Are Surprisingly Good At Geoguessing Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a concerning trend related to the use of OpenAI’s new models, o3 and o4-mini, for deducing locations from images, raising potential privacy issues. The models’ advanced image analysis capabilities combined with…

  • Microsoft Security Blog: Microsoft’s Secure by Design journey: One year of success

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    Kurt Seifried
    in

    Source URL: https://www.microsoft.com/en-us/security/blog/2025/04/17/microsofts-secure-by-design-journey-one-year-of-success/ Source: Microsoft Security Blog Title: Microsoft’s Secure by Design journey: One year of success Feedly Summary: Read about the initiatives Microsoft has undertaken over the past 18 months to support secure by design, secure by default, and secure in operations objectives as part of our SFI Initiative. The post Microsoft’s Secure by…

  • Rekt: KiloEx – Rekt

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    Kurt Seifried
    in

    Source URL: https://www.rekt.news/kiloex-rekt Source: Rekt Title: KiloEx – Rekt Feedly Summary: Oracle manipulation 101 – check your damn validation. KiloEx lost almost $7.5 million when their MinimalForwarder contract accepted any forged signature without verification. The attack hit Base, BNB Chain, opBNB, Taiko, and Manta simultaneously. AI Summary and Description: Yes Summary: The text highlights a…

  • CSA: Cloud File Transfer: Most Secure Cloud Configuration

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    Kurt Seifried
    in

    Source URL: https://blog.axway.com/product-insights/managed-file-transfer/upgrade-with-cloud-mft Source: CSA Title: Cloud File Transfer: Most Secure Cloud Configuration Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses the necessary transition from Managed File Transfer (MFT) solutions to cloud-native approaches, emphasizing the modernization driven by cloud adoption. It highlights the growing complexity of MFT, the benefits of cloud solutions,…

  • Simon Willison’s Weblog: Quoting Ted Sanders, OpenAI

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/17/ted-sanders/ Source: Simon Willison’s Weblog Title: Quoting Ted Sanders, OpenAI Feedly Summary: Our hypothesis is that o4-mini is a much better model, but we’ll wait to hear feedback from developers. Evals only tell part of the story, and we wouldn’t want to prematurely deprecate a model that developers continue to find value in.…

  • Simon Willison’s Weblog: Quoting James Betker

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/16/james-betker/#atom-everything Source: Simon Willison’s Weblog Title: Quoting James Betker Feedly Summary: I work for OpenAI. […] o4-mini is actually a considerably better vision model than o3, despite the benchmarks. Similar to how o3-mini-high was a much better coding model than o1. I would recommend using o4-mini-high over o3 for any task involving vision.…

  • Slashdot: OpenAI Unveils o3 and o4-mini Models

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    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/04/16/1925253/openai-unveils-o3-and-o4-mini-models?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI Unveils o3 and o4-mini Models Feedly Summary: AI Summary and Description: Yes Summary: OpenAI’s release of the o3 and o4-mini AI models marks a crucial development in AI’s capability to process and analyze images, expanding the scope of their applications. These models can utilize various tools, enhancing their…