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Tag: up

  • AWS Open Source Blog: Introducing Cedar Analysis: Open Source Tools for Verifying Authorization Policies

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/opensource/introducing-cedar-analysis-open-source-tools-for-verifying-authorization-policies/ Source: AWS Open Source Blog Title: Introducing Cedar Analysis: Open Source Tools for Verifying Authorization Policies Feedly Summary: Today, we’re excited to announce Cedar Analysis, a new open source toolkit for developers that makes it easier for everyone to verify the behavior of their Cedar policies. Cedar is an open source authorization…

  • The Register: Salesforce study finds LLM agents flunk CRM and confidentiality tests

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/06/16/salesforce_llm_agents_benchmark/ Source: The Register Title: Salesforce study finds LLM agents flunk CRM and confidentiality tests Feedly Summary: 6-in-10 success rate for single-step tasks A new benchmark developed by academics shows that LLM-based AI agents perform below par on standard CRM tests and fail to understand the need for customer confidentiality.… AI Summary and…

  • Simon Willison’s Weblog: The lethal trifecta for AI agents: private data, untrusted content, and external communication

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/#atom-everything Source: Simon Willison’s Weblog Title: The lethal trifecta for AI agents: private data, untrusted content, and external communication Feedly Summary: If you are a user of LLM systems that use tools (you can call them “AI agents" if you like) it is critically important that you understand the risk of combining tools…

  • CSA: Automated SaaS Security That Scales

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    Kurt Seifried
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    Source URL: https://www.valencesecurity.com/resources/blogs/why-your-saas-security-strategy-needs-automated-remediation Source: CSA Title: Automated SaaS Security That Scales Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the vulnerabilities associated with SaaS environments and emphasizes the need for automated remediation workflows to enhance SaaS security. It highlights the challenges of manual remediation due to the decentralized nature of SaaS management…

  • Slashdot: Meta’s Llama 3.1 Can Recall 42% of the First Harry Potter Book

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/06/15/2230206/metas-llama-31-can-recall-42-of-the-first-harry-potter-book?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta’s Llama 3.1 Can Recall 42% of the First Harry Potter Book Feedly Summary: AI Summary and Description: Yes Summary: The text discusses significant findings from a research study that highlights the memorization capabilities of Llama 3.1 70B, an AI model from Meta. It raises concerns about potential legal…

  • Slashdot: Apple Migrates Its Password Monitoring Service to Swift from Java, Gains 40% Performance Uplift

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    Kurt Seifried
    in

    Source URL: https://apple.slashdot.org/story/25/06/15/2126220/apple-migrates-its-password-monitoring-service-to-swift-from-java-gains-40-performance-uplift Source: Slashdot Title: Apple Migrates Its Password Monitoring Service to Swift from Java, Gains 40% Performance Uplift Feedly Summary: AI Summary and Description: Yes Summary: The article discusses Apple’s transition from Java to Swift for its global Password Monitoring service, resulting in significant performance improvements. The migration achieved a 40% increase in…

  • Simon Willison’s Weblog: Anthropic: How we built our multi-agent research system

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/14/multi-agent-research-system/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic: How we built our multi-agent research system Feedly Summary: Anthropic: How we built our multi-agent research system OK, I’m sold on multi-agent LLM systems now. I’ve been pretty skeptical of these until recently: why make your life more complicated by running multiple different prompts in parallel…