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Tag: model theft

  • Anchore: Beyond Software Dependencies: The Data Supply Chain Security Challenge of AI-Native Applications

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    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/beyond-software-dependencies-the-data-supply-chain-security-challenge-of-ai-native-applications/ Source: Anchore Title: Beyond Software Dependencies: The Data Supply Chain Security Challenge of AI-Native Applications Feedly Summary: Just as the open source software revolution fundamentally transformed software development in the 2000s—bringing massive productivity gains alongside unprecedented supply chain complexity—we’re witnessing history repeat itself with Large Language Models (LLMs). The same pattern that…

  • Cloud Blog: Cloud CISO Perspectives: How Google secures AI Agents

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-how-google-secures-ai-agents/ Source: Cloud Blog Title: Cloud CISO Perspectives: How Google secures AI Agents Feedly Summary: Welcome to the first Cloud CISO Perspectives for June 2025. Today, Anton Chuvakin, security advisor for Google Cloud’s Office of the CISO, discusses a new Google report on securing AI agents, and the new security paradigm they demand.As…

  • Anton on Security – Medium: Cross-post: Office of the CISO 2024 Year in Review: AI Trust and Security

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    Kurt Seifried
    in

    Source URL: https://medium.com/anton-on-security/cross-post-office-of-the-ciso-2024-year-in-review-ai-trust-and-security-e73af11fb374?source=rss—-8e8c3ed26c4c—4 Source: Anton on Security – Medium Title: Cross-post: Office of the CISO 2024 Year in Review: AI Trust and Security Feedly Summary: AI Summary and Description: Yes Summary: The text provides a comprehensive overview of Google’s insights and resources regarding the secure implementation of generative AI in 2024. It covers critical security…

  • METR updates – METR: AI models can be dangerous before public deployment

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    Kurt Seifried
    in

    Source URL: https://metr.org/blog/2025-01-17-ai-models-dangerous-before-public-deployment/ Source: METR updates – METR Title: AI models can be dangerous before public deployment Feedly Summary: AI Summary and Description: Yes **Short Summary with Insight:** This text provides a critical perspective on the safety measures surrounding the deployment of powerful AI systems, emphasizing that traditional pre-deployment testing is insufficient due to the…

  • The Register: Boffins trick AI model into giving up its secrets

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    system automation
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    Source URL: https://www.theregister.com/2024/12/18/ai_model_reveal_itself/ Source: The Register Title: Boffins trick AI model into giving up its secrets Feedly Summary: All it took to make an Google Edge TPU give up model hyperparameters was specific hardware, a novel attack technique … and several days Computer scientists from North Carolina State University have devised a way to copy…