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Tag: mitigating risks

  • CSA: High-Profile AI Failures Teach Us About Resilience

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    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/when-ai-breaks-bad-what-high-profile-failures-teach-us-about-resilience Source: CSA Title: High-Profile AI Failures Teach Us About Resilience Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the vulnerabilities of artificial intelligence (AI) highlighted through significant real-world failures, emphasizing a new framework, the AI Resilience Benchmarking Model, developed by the Cloud Security Alliance (CSA). This model delineates methods…

  • Simon Willison’s Weblog: Quoting OpenAI on Twitter

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/15/openai-on-twitter/#atom-everything Source: Simon Willison’s Weblog Title: Quoting OpenAI on Twitter Feedly Summary: By popular request, GPT-4.1 will be available directly in ChatGPT starting today. GPT-4.1 is a specialized model that excels at coding tasks & instruction following. Because it’s faster, it’s a great alternative to OpenAI o3 & o4-mini for everyday coding needs.…

  • The Register: As US vuln-tracking falters, EU enters with its own security bug database

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/05/13/eu_security_bug_database/ Source: The Register Title: As US vuln-tracking falters, EU enters with its own security bug database Feedly Summary: EUVD comes into play not a moment too soon The European Vulnerability Database (EUVD) is now fully operational, offering a streamlined platform to monitor critical and actively exploited security flaws amid the US struggles…

  • Cloud Blog: Understand why your metrics moved with contribution analysis in BigQuery ML, now GA

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-ml-contribution-analysis-models-now-ga/ Source: Cloud Blog Title: Understand why your metrics moved with contribution analysis in BigQuery ML, now GA Feedly Summary: The key to effective data-driven decision making is quickly processing and extracting insights from large amounts of data. However, doing this efficiently and at scale is a challenge.  Imagine a retail scenario where…

  • The Register: Nip chip smugglers by building trackers into GPUs, US Senator suggests

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/05/09/senator_fights_chip_smuggling/ Source: The Register Title: Nip chip smugglers by building trackers into GPUs, US Senator suggests Feedly Summary: AI phone home Despite stiff export controls on the legitimate sale of AI accelerators to China, stemming the flow of gray market GPUs streaming into the Middle Kingdom remains a point of concern for American…

  • CSA: The OWASP Top 10 for LLMs: CSA’s Defense Playbook

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/articles/the-owasp-top-10-for-llms-csa-s-strategic-defense-playbook Source: CSA Title: The OWASP Top 10 for LLMs: CSA’s Defense Playbook Feedly Summary: AI Summary and Description: Yes Summary: The text outlines the OWASP Top 10 vulnerabilities specific to large language models (LLMs) and provides actionable guidance from the Cloud Security Alliance (CSA) to mitigate these risks. This is crucial for…

  • Wired: Singapore’s Vision for AI Safety Bridges the US-China Divide

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/singapore-ai-safety-global-consensus/ Source: Wired Title: Singapore’s Vision for AI Safety Bridges the US-China Divide Feedly Summary: In a rare moment of global consensus, AI researchers from the US, Europe, and Asia came together in Singapore to form a plan for researching AI risks. AI Summary and Description: Yes Summary: The text highlights a significant…

  • Simon Willison’s Weblog: Quoting Arvind Narayanan

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/5/arvind-narayanan/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Arvind Narayanan Feedly Summary: [On using generative AI for work despite the risk of errors:] AI is helpful despite being error-prone if it is faster to verify the output than it is to do the work yourself. For example, if you’re using it to find a…

  • Anchore: SBOM Fundamentals: Anchore Learning Week (Day 1)

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    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/sbom-fundamentals-anchore-learning-week-day-1/ Source: Anchore Title: SBOM Fundamentals: Anchore Learning Week (Day 1) Feedly Summary: This blog post is the first in our 5-day series exploring the world of SBOMs and their role in securing the foundational but often overlooked 3rd-party software supply chain. Whether you’re just beginning your SBOM journey or looking to refresh…