Experimental News Clipping Site

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  • Wired: WhatsApp Is Walking a Tightrope Between AI Features and Privacy

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    by

    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/whatsapp-private-processing-generative-ai-security-risks/ Source: Wired Title: WhatsApp Is Walking a Tightrope Between AI Features and Privacy Feedly Summary: WhatsApp’s AI tools will use a new “Private Processing” system designed to allow cloud access without letting Meta or anyone else see end-to-end encrypted chats. But experts still see risks. AI Summary and Description: Yes Summary: The…

  • Cloud Blog: What’s new with BigQuery AI and ML?

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-adds-new-ai-capabilities/ Source: Cloud Blog Title: What’s new with BigQuery AI and ML? Feedly Summary: At Next ’25, we introduced several new innovations within BigQuery, the autonomous data to AI platform. BigQuery ML provides a full range of AI and ML capabilities, enabling you to easily build generative AI and predictive ML applications with…

  • Cloud Blog: How Conversational Analytics helps users make the most of their data

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/business-intelligence/a-closer-look-at-looker-conversational-analytics/ Source: Cloud Blog Title: How Conversational Analytics helps users make the most of their data Feedly Summary: At Google Cloud Next 25, we expanded the availability of Gemini in Looker, including Conversational Analytics, to all Looker platform users, redefining how line-of-business employees can rapidly gain access to trusted data-driven insights through natural…

  • Cloud Blog: SandboxAQ: Accelerating drug discovery through cloud integration

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/sandboxaq-speeds-up-drug-discovery-with-the-cloud/ Source: Cloud Blog Title: SandboxAQ: Accelerating drug discovery through cloud integration Feedly Summary: The traditional drug discovery process involves massive capital investments, prolonged timelines, and is plagued with daunting failure rates. From initial research to obtaining regulatory approval, bringing a new drug to market can take decades. During this time, many drug…

  • Anchore: Navigating the Path to Federal Markets: Your Complete FedRAMP Guide

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    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/navigating-the-path-to-federal-markets-your-complete-fedramp-guide/ Source: Anchore Title: Navigating the Path to Federal Markets: Your Complete FedRAMP Guide Feedly Summary: The federal cloud market is projected to reach $78+ billion by 2029, but only a small fraction of cloud providers have successfully achieved FedRAMP authorization. That’s why we’re excited to announce our new white paper, “Unlocking Federal…

  • Cisco Security Blog: Instant Attack Verification: Verification to Trust Automated Response

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    Kurt Seifried
    in

    Source URL: https://feedpress.me/link/23535/17018376/instant-attack-verification-verification-to-trust-automated-response Source: Cisco Security Blog Title: Instant Attack Verification: Verification to Trust Automated Response Feedly Summary: Discover how Cisco XDR’s Instant Attack Verification brings real-time threat validation for faster, smarter SOC response. AI Summary and Description: Yes Summary: Cisco XDR’s Instant Attack Verification feature enhances the capabilities of Security Operations Centers (SOC) by…

  • Schneier on Security: Applying Security Engineering to Prompt Injection Security

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    Kurt Seifried
    in

    Source URL: https://www.schneier.com/blog/archives/2025/04/applying-security-engineering-to-prompt-injection-security.html Source: Schneier on Security Title: Applying Security Engineering to Prompt Injection Security Feedly Summary: This seems like an important advance in LLM security against prompt injection: Google DeepMind has unveiled CaMeL (CApabilities for MachinE Learning), a new approach to stopping prompt-injection attacks that abandons the failed strategy of having AI models police…

  • AWS News Blog: Llama 4 models from Meta now available in Amazon Bedrock serverless

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/llama-4-models-from-meta-now-available-in-amazon-bedrock-serverless/ Source: AWS News Blog Title: Llama 4 models from Meta now available in Amazon Bedrock serverless Feedly Summary: Meta’s newest AI models, Llama 4 Scout 17B and Llama 4 Maverick 17B, are now available as fully managed, serverless models in Amazon Bedrock, offering natively multimodal capabilities with enhanced reasoning, image understanding, and…