Tag: patterns

  • Hacker News: Removing Jeff Bezos from My Bed

    Source URL: https://trufflesecurity.com/blog/removing-jeff-bezos-from-my-bed Source: Hacker News Title: Removing Jeff Bezos from My Bed Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a personal experience with an IoT device, specifically a smart bed, highlighting significant security concerns related to data privacy, remote access vulnerabilities, and the implications of leaving sensitive devices connected…

  • The Register: Ghost ransomware crew continues to haunt IT depts with scarily bad infosec

    Source URL: https://www.theregister.com/2025/02/20/fbi_beware_of_ghost_ransomware/ Source: The Register Title: Ghost ransomware crew continues to haunt IT depts with scarily bad infosec Feedly Summary: FBI and CISA issue reminder – deep sigh – about the importance of patching and backups The operators of Ghost ransomware continue to claim victims and score payments, but keeping the crooks at bay…

  • CSA: Dark Patterns: How the CPPA is Cracking Down

    Source URL: https://cloudsecurityalliance.org/articles/dark-patterns-understanding-their-impact-harm-and-how-the-cppa-is-cracking-down Source: CSA Title: Dark Patterns: How the CPPA is Cracking Down Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the California Privacy Protection Agency’s (CPPA) stringent stance against “dark patterns” in user interface design, particularly in relation to the California Consumer Privacy Act (CCPA). It clarifies what dark patterns…

  • Cloud Blog: How to use gen AI for better data schema handling, data quality, and data generation

    Source URL: https://cloud.google.com/blog/products/data-analytics/how-gemini-in-bigquery-helps-with-data-engineering-tasks/ Source: Cloud Blog Title: How to use gen AI for better data schema handling, data quality, and data generation Feedly Summary: In the realm of data engineering, generative AI models are quietly revolutionizing how we handle, process, and ultimately utilize data. For example, large language models (LLMs) can help with data schema…

  • Hacker News: AI Mistakes Are Different from Human Mistakes

    Source URL: https://www.schneier.com/blog/archives/2025/01/ai-mistakes-are-very-different-from-human-mistakes.html Source: Hacker News Title: AI Mistakes Are Different from Human Mistakes Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the unique nature of mistakes made by AI, particularly large language models (LLMs), contrasting them with human errors. It emphasizes the need for new security systems that address AI’s…

  • Hacker News: Did Semgrep Just Get a Lot More Interesting?

    Source URL: https://fly.io/blog/semgrep-but-for-real-now/ Source: Hacker News Title: Did Semgrep Just Get a Lot More Interesting? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the evolving role of LLM-driven development tools like Cursor in code generation and security, particularly in leveraging Semgrep for vulnerability detection. It highlights the potential for closed-loop LLM…

  • Hacker News: Questioning the Criteria for Evaluating Non-Cryptographic Hash Functions

    Source URL: https://cacm.acm.org/practice/questioning-the-criteria-for-evaluating-non-cryptographic-hash-functions/ Source: Hacker News Title: Questioning the Criteria for Evaluating Non-Cryptographic Hash Functions Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an in-depth examination of both cryptographic and non-cryptographic hash functions, highlighting their importance in computing practices, security requirements, and performance in various applications. It reveals critical insights into…