Tag: security efforts
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CSA: How the Alert Readiness Framework Supports Augmented Cybersecurity
Source URL: https://www.devoteam.com/expert-view/how-alert-readiness-framework-supports-augmented-cybersecurity-devoteam/ Source: CSA Title: How the Alert Readiness Framework Supports Augmented Cybersecurity Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the need for a shift from traditional cybersecurity models focused purely on prevention to a more balanced approach that emphasizes resilience, recovery, and response. The Alert Readiness Framework (ARF) is…
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Hacker News: Volunteer DEF CON hackers dive into America’s leaky water infrastructure
Source URL: https://www.theregister.com/2024/11/24/water_defcon_hacker/ Source: Hacker News Title: Volunteer DEF CON hackers dive into America’s leaky water infrastructure Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the Franklin project, an initiative launched at DEF CON aimed at enhancing the cybersecurity of America’s critical water infrastructure through collaboration with hackers. This innovative approach…
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Schneier on Security: Most of 2023’s Top Exploited Vulnerabilities Were Zero-Days
Source URL: https://www.schneier.com/blog/archives/2024/11/most-of-2023s-top-exploited-vulnerabilities-were-zero-days.html Source: Schneier on Security Title: Most of 2023’s Top Exploited Vulnerabilities Were Zero-Days Feedly Summary: Zero-day vulnerabilities are more commonly used, according to the Five Eyes: Key Findings In 2023, malicious cyber actors exploited more zero-day vulnerabilities to compromise enterprise networks compared to 2022, allowing them to conduct cyber operations against higher-priority…
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Hacker News: SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Source URL: https://arxiv.org/abs/2310.03684 Source: Hacker News Title: SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Feedly Summary: Comments AI Summary and Description: Yes Summary: This text presents “SmoothLLM,” an innovative algorithm designed to enhance the security of Large Language Models (LLMs) against jailbreaking attacks, which manipulate models into producing undesirable content. The proposal highlights a…