Cloud Security Alliance News Clipping Site

Tag: pattern matching

  • Hacker News: Show HN: Dracan – Open-source, 1:1 proxy with simple filtering/validation config

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    Source URL: https://github.com/Veinar/dracan Source: Hacker News Title: Show HN: Dracan – Open-source, 1:1 proxy with simple filtering/validation config Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Dracan, a middleware security solution designed to enhance request filtering and validation within Kubernetes environments. Its main features include HTTP method filtering, JSON validation, request…

  • Slashdot: Is AI-Driven 0-Day Detection Here?

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    Source URL: https://it.slashdot.org/story/24/11/02/2150233/is-ai-driven-0-day-detection-here?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Is AI-Driven 0-Day Detection Here? Feedly Summary: AI Summary and Description: Yes Summary: This text discusses the advancements in AI-driven vulnerability detection, particularly focusing on the implementation of LLM-powered methodologies that have proven effective in identifying critical zero-day vulnerabilities. The approach combines deep program analysis with adversarial AI agents,…

  • Simon Willison’s Weblog: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code

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    Source URL: https://simonwillison.net/2024/Nov/1/from-naptime-to-big-sleep/#atom-everything Source: Simon Willison’s Weblog Title: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code Feedly Summary: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code Google’s Project Zero security team used a system based around Gemini 1.5 Pro to find…

  • Wired: Apple Engineers Show How Flimsy AI ‘Reasoning’ Can Be

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    Source URL: https://arstechnica.com/ai/2024/10/llms-cant-perform-genuine-logical-reasoning-apple-researchers-suggest/ Source: Wired Title: Apple Engineers Show How Flimsy AI ‘Reasoning’ Can Be Feedly Summary: The new frontier in large language models is the ability to “reason” their way through problems. New research from Apple says it’s not quite what it’s cracked up to be. AI Summary and Description: Yes Summary: The study…

  • Slashdot: Apple Study Reveals Critical Flaws in AI’s Logical Reasoning Abilities

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    Source URL: https://apple.slashdot.org/story/24/10/15/1840242/apple-study-reveals-critical-flaws-in-ais-logical-reasoning-abilities?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Apple Study Reveals Critical Flaws in AI’s Logical Reasoning Abilities Feedly Summary: AI Summary and Description: Yes Summary: Apple’s AI research team identifies critical weaknesses in large language models’ reasoning capabilities, highlighting issues with logical consistency and performance variability due to question phrasing. This research underlines the potential reliability…