Navigating the New Frontiers of AI and Security Standards

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Dear AI Enthusiasts,

Happy New Year, and welcome to our latest newsletter. In an era marked by technological leaps, cybersecurity teams find themselves at a critical crossroads.

This edition explores the evolving landscape where new skills are imperative, yet the shackles of legacy systems persist.

ZDNet highlights the global struggle, emphasizing the acute talent shortage and challenges of generative AI and machine learning.

Meanwhile, The Tribune-Democrat unravels the silent arms race in cybersecurity, where artificial intelligence emerges as both a loyal defender and a formidable adversary.

Analytics Insights introduces us to a catalog of ISO standards shaping responsible AI use, shedding light on security protocols.

SecureList's focus on the impact of AI as the word of the year delves into ethical considerations surrounding Large Language Models, while Dark Reading warns of potential security risks in the accelerating realm of AI innovation.

Join us on this insightful journey through the frontiers of cybersecurity, where the quest for security meets the challenges and promises of artificial intelligence.

Happy Holidays,

The AI Collective Word Team

Cybersecurity teams need new skills even as they struggle to manage legacy systems [ZDNet] Cybersecurity teams face a talent shortage and new challenges from generative AI and machine learning. They also have to deal with evolving threats and legacy systems that are hard to replace. The cybersecurity workforce gap is the highest in Asia-Pacific, but some countries like Singapore are making progress.

The Rise of AI | Artificial intelligence drives silent arms race in cybersecurity field [The Tribune-Democrat] AI can be a powerful ally or enemy in cybersecurity, depending on who uses it. AI can detect and stop threats faster than humans, but it also creates more advanced attacks that are harder to spot. AI also helps improve physical security with biometric technologies that identify people and protect important places.

A Catalog of ISO Standards for AI Security [Analytics Insights] This article summarizes some of the ISO standards for AI security. These standards help organizations to develop and use AI systems securely and responsibly. They cover topics such as security threats and failures, data and process security, and trustworthiness and governance of AI systems.

Story of the year: the impact of AI on cybersecurity [SecureList] AI is the word of the year for 2023, reflecting its growing influence in society and business. Large Language Models (LLMs) are a type of AI that can generate text for various purposes, such as chatbots or summaries. However, LLMs also raise ethical and regulatory challenges, as they may affect jobs, privacy, and security. Therefore, many countries and organizations are trying to establish rules and standards for responsible AI use.

Skynet Ahoy? What to Expect for Next-Gen AI Security Risks [Dark Reading] AI innovation is accelerating, but security standards are lagging, experts warn. Large language models like GPT-4 and GPT-5 have impressive capabilities but pose profound societal risks. The industry needs to address the ethical and risk implications of these technologies before they get out of control.

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