One Article Review
| Source |  Mandiant |
|---|---|
| Identifiant | 8538992 |
| Date de publication | 2024-07-17 14:00:00 (vue: 2024-07-17 17:07:57) |
| Titre | Apprentissage propulsé par l'AI: votre bibliothèque invite NIST Nice (construite avec Google Gemini) AI-Powered Learning: Your NIST NICE Prompt Library (Built with Google Gemini) |
| Texte | Written by: Jake Liefer
In the ever-evolving landscape of cybersecurity, staying ahead of threats demands continuous learning and skill development. The NIST NICE framework provides a roadmap, but mastering its extensive tasks, knowledge, and skills (TKSs) can be daunting. That\'s where the power of artificial intelligence (AI) comes in. We\'ve leveraged Google Gemini AI to create a revolutionary solution: a comprehensive library of over 6,000 prompts designed to guide you through the NICE framework. These AI-powered prompts offer a dynamic and personalized learning experience, accelerating your journey to cybersecurity expertise. In this blog post, we\'ll explore the NIST NICE framework in detail, delve into the art of prompt engineering, and share how we harnessed the power of Google Gemini AI to build this valuable resource. Whether you\'re a seasoned cybersecurity veteran or just starting your journey, this guide will provide you with the tools and insights you need to engage with large language models (LLMs) for a dynamic learning experience. The NIST NICE Framework: Your Blueprint for Cybersecurity Success The National Initiative for Cybersecurity Education (NICE) framework, developed by the National Institute of Standards and Technology (NIST), serves as the cornerstone of cybersecurity education and workforce development. At its core, the NICE framework provides a common language and taxonomy for describing cybersecurity work. Each role is mapped to specific TKSs necessary for successful responsibilities. By mapping out these competencies, the NICE framework helps individuals identify career paths, employers define job requirements, and training providers develop targeted curricula. But the NICE framework isn\'t just about job descriptions and training programs. It\'s about building a robust and adaptable cybersecurity workforce capable of meeting the dynamic challenges of the digital age. By aligning your skillset with the NICE framework, you\'re not only investing in your own career advancement but also contributing to the collective defense against cyber threats. Whether you\'re aspiring to become a security analyst, penetration tester, incident responder, or any other cybersecurity role, understanding and embracing the NICE framework is essential. It provides a roadmap for your professional development, highlighting the knowledge and skills you need to acquire to succeed in your chosen path. In the following sections, we\'ll explore how AI-powered prompts can help you navigate this roadmap and accelerate your mastery of the essential competencies outlined in the NICE framework. Prompt Engineering: Unleashing the Power of LLMs for Cybersecurity Learning In the realm of artificial intelligence, LLMs like Google Gemini have emerged as powerful tools capable of understanding and generating human-like text. At the heart of harnessing this power lies the art of prompt engineering. But what exactly is a prompt, and why is it so crucial for cybersecurity learning? In simple terms, a prompt is the input you provide to an LLM to guide its response. Think of it as a question, a scenario, or a task that you present to the AI. The quality and specificity of your prompt directly influence the quality and relevance of the LLM\'s output. In the context of cybersecurity, well-craft |
| Notes | ★★★ |
| Envoyé | Oui |
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| Tags | Data Breach Tool Vulnerability Threat Studies |
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