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2024-07-17 14:00:00 | 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) (lien direct) |
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 |
Data Breach Tool Vulnerability Threat Studies | ||
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2024-06-03 14:00:00 | Ransomwares rebonds: la menace d'extorsion augmente en 2023, les attaquants s'appuient sur les outils accessibles au public et légitimes Ransomware Rebounds: Extortion Threat Surges in 2023, Attackers Rely on Publicly Available and Legitimate Tools (lien direct) |
Written by: Bavi Sadayappan, Zach Riddle, Jordan Nuce, Joshua Shilko, Jeremy Kennelly
A version of this blog post was published to the Mandiant Advantage portal on April 18, 2024. Executive Summary In 2023, Mandiant observed an increase in ransomware activity as compared to 2022, based on a significant rise in posts on data leak sites and a moderate increase in Mandiant-led ransomware investigations. Mandiant observed an increase in the proportion of new ransomware variants compared to new families, with around one third of new families observed in 2023 being variants of previously identified ransomware families. Actors engaged in the post-compromise deployment of ransomware continue to predominately rely on commercially available and legitimate tools to facilitate their intrusion operations. Notably, we continue to observe a decline in the use of Cobalt Strike BEACON, and a corresponding increase in the use of legitimate remote access tools. In almost one third of incidents, ransomware was deployed within 48 hours of initial attacker access. Seventy-six percent (76%) of ransomware deployments took place outside of work hours, with the majority occurring in the early morning. Mandiant\'s recommendations to assist in addressing the threat posed by ransomware are captured in our Ransomware Protection and Containment Strategies: Practical Guidance for Hardening and Protecting Infrastructure, Identities and Endpoints white paper. Introduction Threat actors have remained driven to conduct ransomware operations due to their profitability, particularly in comparison to other types of cyber crime. Mandiant observed an increase in ransomware activity in 2023 compared to 2022, including a 75% increase in posts on data leak sites (DLS), and an over 20% increase in Mandiant-led investigations involving ransomware from 2022 to 2023 (Figure 1). These observations are consistent with other reporting, which shows a record-breaking more than $1 billion USD paid to ransomware attackers in 2023. This illustrates that the slight dip in extortion activity observed in 2022 was an anomaly, potentially due to factors such as the invasion of Ukraine and the leaked CONTI chats. The current resurgence in extortion activity is likely driven by various factors, including the resettling of the cyber criminal ecosystem following a tumultuous year in 2022, new entrants, and new partnerships and ransomware service offerings by actors previously associated with prolific groups that had been disrupted. This blog post provides an overview of the ransomware landscape and common tactics, techniques, and procedures (TTPs) directly observed by Mandiant in 2023 ransomware incidents. Our analysis of TTPs relies primarily on data from Mandiant incident response engagements and therefore represe |
Ransomware Data Breach Spam Malware Tool Vulnerability Threat Legislation Prediction Medical Cloud Commercial | ★★★ | |
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2021-09-14 04:04:51 | Grâce à l'objectif de l'analyste: la puissance réelle des services de détection et de réponse gérés Through the Analyst Lens: The Real Power of Managed Detection and Response Services (lien direct) |
La menace constante de la violation de données fait que les organisations examinent leur capacité à protéger l'entreprise de la prochaine grande attaque.Mais la technologie à elle seule n'a pas réduit votre temps moyen à détecter et à répondre.Selon Craig Robinson, directeur de programme au sein de la pratique de recherche sur les services de sécurité d'IDC \\ et auteur de la dernière étude IDC Marketscape dans les services de détection et de réponse gérés aux États-Unis, «Il y aura de plus en plus de besoin de MDRServices à l'avenir.Dans les talons de la publication IDC Marketscape, je me suis assis avec Craig pour découvrir ce que les clients et les vendeurs voient
The constant threat of data breach has organizations scrutinizing their ability to protect the business from the next big attack. But technology alone won\'t reduce your mean-time-to-detect and respond. According to Craig Robinson, Program Director within IDC\'s Security Services research practice and author of the latest IDC MarketScape study in U.S. Managed Detection and Response (MDR) Services, “there is going to be more and more of a need for MDR Services in the future.” On the heels of the IDC MarketScape publication, I sat down with Craig to discover what customers and vendors are seeing |
Data Breach Threat Studies | ★★★ | |
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2019-08-13 11:45:00 | Affichage de la vulnérabilité à une machine: priorisation automatisée des vulnérabilités logicielles Showing Vulnerability to a Machine: Automated Prioritization of Software Vulnerabilities (lien direct) |
Introduction
Si une vulnérabilité logicielle peut être détectée et corrigée, une intrusion potentielle est empêchée.Bien que toutes les vulnérabilités des logiciels ne soient pas connues, 86 pour cent des vulnérabilités menant à une violation de données ont été réparables , bien qu'il y ait S o m FIX-IOS-9-3-INSTALLATION-ÉSUES-FOR-ENVER-DIVICES / "> E Risque de dommages par inadvertance lors de l'application de correctifs logiciels.Lorsque de nouvelles vulnérabilités sont identifiées, ils sont publiés dans le dictionnaire commun des vulnérabilités et des expositions (CVE) par bases de données de vulnérabilité , comme la base de données nationale de vulnérabilité (NVD).
Le système de notation des vulnérabilités communes (CVSS) fournit une métrique pour
Introduction If a software vulnerability can be detected and remedied, then a potential intrusion is prevented. While not all software vulnerabilities are known, 86 percent of vulnerabilities leading to a data breach were patchable, though there is some risk of inadvertent damage when applying software patches. When new vulnerabilities are identified they are published in the Common Vulnerabilities and Exposures (CVE) dictionary by vulnerability databases, such as the National Vulnerability Database (NVD). The Common Vulnerabilities Scoring System (CVSS) provides a metric for |
Data Breach Vulnerability | ★★★ |
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