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Tag: engineering teams

  • CSA: Understanding Security Risks in AI-Generated Code

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    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/understanding-security-risks-in-ai-generated-code Source: CSA Title: Understanding Security Risks in AI-Generated Code Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the evolving role of AI coding assistants and their impact on software security. It highlights the significant risks posed by AI-generated code, including the repetition of insecure patterns, optimization shortcuts, omission of…

  • CSA: Deterministic AI: The Future of DevSecOps

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    Kurt Seifried
    in

    Source URL: https://www.gomboc.ai/blog/the-future-of-devsecops-is-deterministic Source: CSA Title: Deterministic AI: The Future of DevSecOps Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the integration of deterministic AI in DevSecOps to address persistent security challenges within the software development lifecycle, particularly focusing on cloud misconfigurations and inefficiencies of manual security workflows. It highlights the importance…

  • Cloud Blog: How to build a digital twin to boost resilience

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/identity-security/how-to-build-a-digital-twin-to-boost-resilience/ Source: Cloud Blog Title: How to build a digital twin to boost resilience Feedly Summary: “There’s no red teaming on the factory floor,” isn’t an OSHA safety warning, but it should be — and for good reason. Adversarial testing in most, if not all, manufacturing production environments is prohibited because the safety…

  • Scott Logic: The Feature Fallacy

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    Kurt Seifried
    in

    Source URL: https://blog.scottlogic.com/2025/05/22/the-feature-fallacy.html Source: Scott Logic Title: The Feature Fallacy Feedly Summary: Features or Foundations. Where do you start. What are the pros and cons of building fast or building the blocks to build on. AI Summary and Description: Yes **Summary:** The text delves into the strategic tension between prioritizing feature development and investing in…

  • Simon Willison’s Weblog: Quoting Drew Breunig

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/10/drew-breunig/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Drew Breunig Feedly Summary: The first generation of AI-powered products (often called “AI Wrapper” apps, because they “just” are wrapped around an LLM API) were quickly brought to market by small teams of engineers, picking off the low-hanging problems. But today, I’m seeing teams of domain…

  • CSA: Secure Vibe Coding Guide

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    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/blog/2025/04/09/secure-vibe-coding-guide Source: CSA Title: Secure Vibe Coding Guide Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses “vibe coding,” an AI-assisted programming approach where users utilize natural language to generate code through large language models (LLMs). While this method promises greater accessibility to non-programmers, it brings critical security concerns as AI-generated…

  • Cloud Blog: Introducing Multi-Cluster Orchestrator: Scale your Kubernetes workloads across regions

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/multi-cluster-orchestrator-for-cross-region-kubernetes-workloads/ Source: Cloud Blog Title: Introducing Multi-Cluster Orchestrator: Scale your Kubernetes workloads across regions Feedly Summary: Today, we’re excited to announce the public preview of Multi-Cluster Orchestrator, a new service designed to streamline and simplify the management of workloads across Kubernetes clusters. Multi-Cluster Orchestrator lets platform and application teams optimize resource utilization, enhance…