BOOKS - Large Language Models in Cybersecurity Threats, Exposure and Mitigation
Large Language Models in Cybersecurity Threats, Exposure and Mitigation - Andrei Kucharavy, Octave Plancherel, Valentin Mulder, Alain Mermoud 2024 PDF Springer BOOKS
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Large Language Models in Cybersecurity Threats, Exposure and Mitigation
Author: Andrei Kucharavy, Octave Plancherel, Valentin Mulder, Alain Mermoud
Year: 2024
Pages: 249
Format: PDF
File size: 11.3 MB
Language: ENG



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Large Language Models in Cybersecurity Threats Exposure and Mitigation Introduction The rapid development of large language models (LLMs) has revolutionized various fields such as natural language processing, machine learning, and artificial intelligence. However, these powerful tools also pose significant cybersecurity threats. This book delves into the exposure and mitigation of LLM-related risks, providing readers with a comprehensive understanding of the challenges and solutions in this area. The following sections will explore the current state of LLMs, their potential applications, and the associated risks, as well as strategies for addressing these threats.
Большие языковые модели в угрозах кибербезопасности Воздействие и смягчение последствий Введение Быстрая разработка больших языковых моделей (LLM) произвела революцию в различных областях, таких как обработка естественного языка, машинное обучение и искусственный интеллект. Однако эти мощные инструменты также создают значительные угрозы кибербезопасности. Эта книга углубляется в выявление и снижение рисков, связанных с LLM, предоставляя читателям всестороннее понимание проблем и решений в этой области. В следующих разделах будет рассмотрено текущее состояние LLM, их потенциальные приложения и связанные с ними риски, а также стратегии устранения этих угроз.
Grands modèles linguistiques dans les menaces à la cybersécurité Impact et atténuation Introduction développement rapide de grands modèles linguistiques (LLM) a révolutionné divers domaines tels que le traitement du langage naturel, l'apprentissage automatique et l'intelligence artificielle. Cependant, ces outils puissants posent également des menaces importantes à la cybersécurité. Ce livre se penche sur l'identification et la réduction des risques associés à la LLM en fournissant aux lecteurs une compréhension complète des défis et des solutions dans ce domaine. s sections suivantes examineront l'état actuel des LLM, leurs applications potentielles et les risques connexes, ainsi que les stratégies pour faire face à ces menaces.
Grandes modelos lingüísticos en amenazas a la ciberseguridad Impacto y mitigación Introducción rápido desarrollo de grandes modelos lingüísticos (LLM) ha revolucionado diversos campos como el procesamiento del lenguaje natural, el aprendizaje automático y la inteligencia artificial. n embargo, estas poderosas herramientas también plantean importantes amenazas a la ciberseguridad. Este libro profundiza en la identificación y reducción de riesgos relacionados con la LLM, proporcionando a los lectores una comprensión integral de los problemas y soluciones en este campo. En las siguientes secciones se examinará el estado actual de las LLM, sus aplicaciones potenciales y los riesgos asociados, así como las estrategias para hacer frente a estas amenazas.
Grandi modelli linguistici in minacce di cybersecurity Impatto e mitigazione Introduzione Lo sviluppo rapido di modelli linguistici di grandi dimensioni (LLM) ha rivoluzionato diversi ambiti come l'elaborazione del linguaggio naturale, l'apprendimento automatico e l'intelligenza artificiale. Ma questi potenti strumenti pongono anche notevoli minacce alla sicurezza informatica. Questo libro approfondisce l'individuazione e la riduzione dei rischi associati a LLM, fornendo ai lettori un'ampia comprensione dei problemi e delle soluzioni in questo campo. seguenti sezioni esamineranno lo stato attuale di LLM, le applicazioni potenziali e i rischi associati e le strategie per affrontare queste minacce.
Große Sprachmodelle in Cybersicherheitsbedrohungen Auswirkungen und Abschwächung Einleitung Die schnelle Entwicklung großer Sprachmodelle (LLM) hat verschiedene Bereiche wie natürliche Sprachverarbeitung, maschinelles rnen und künstliche Intelligenz revolutioniert. Diese leistungsstarken Tools stellen jedoch auch erhebliche Bedrohungen für die Cybersicherheit dar. Dieses Buch vertieft sich in die Identifizierung und Minderung der mit LLM verbundenen Risiken und bietet den sern ein umfassendes Verständnis der Probleme und Lösungen in diesem Bereich. In den folgenden Abschnitten werden der aktuelle Stand des LLM, seine potenziellen Anwendungen und die damit verbundenen Risiken sowie Strategien zur Bewältigung dieser Bedrohungen untersucht.
Larg Language Models in Cybersecurity Eurons Impact and Destrage Introduction הפיתוח המהיר של מודלים גדולים בשפה (LLM) חולל מהפכה בתחומים שונים כגון עיבוד שפה טבעית, למידת מכונה ובינה מלאכותית. עם זאת, כלים רבי עוצמה אלה מהווים גם הם איום משמעותי על ביטחון הקיברנטי. ספר זה מתעמק בזיהוי ומקל סיכונים הקשורים ל-LLM, ומספק לקוראים הבנה מקיפה של האתגרים והפתרונות בתחום. הסעיפים הבאים ידונו במצב הנוכחי של LLMs, ביישומים הפוטנציאליים שלהם ובסיכונים הנלווים, ובאסטרטגיות לטיפול באיומים אלה.''
ber Güvenlik Tehditlerinde Büyük Dil Modelleri Etki ve Azaltma Giriş Büyük dil modellerinin (LLM) hızlı gelişimi, doğal dil işleme, makine öğrenimi ve yapay zeka gibi çeşitli alanlarda devrim yarattı. Bununla birlikte, bu güçlü araçlar aynı zamanda önemli siber güvenlik tehditleri de oluşturmaktadır. Bu kitap, LLM ile ilişkili riskleri tanımlamayı ve azaltmayı, okuyuculara alandaki zorluklar ve çözümler hakkında kapsamlı bir anlayış sağlamayı amaçlamaktadır. Aşağıdaki bölümlerde LLM'lerin mevcut durumu, potansiyel uygulamaları ve ilişkili riskleri ve bu tehditleri ele alma stratejileri tartışılacaktır.
نماذج لغوية كبيرة في تأثير تهديدات الأمن السيبراني ومقدمة التخفيف أحدث التطور السريع لنماذج اللغات الكبيرة (LLM) ثورة في مجالات مختلفة مثل معالجة اللغة الطبيعية والتعلم الآلي والذكاء الاصطناعي. ومع ذلك، فإن هذه الأدوات القوية تشكل أيضًا تهديدات كبيرة للأمن السيبراني. يتعمق هذا الكتاب في تحديد المخاطر المرتبطة بـ LLM والتخفيف من حدتها، مما يوفر للقراء فهمًا شاملاً للتحديات والحلول في هذا المجال. وستناقش الأقسام التالية الحالة الراهنة للآليات الرخيصة، وتطبيقاتها المحتملة والمخاطر المرتبطة بها، واستراتيجيات التصدي لهذه التهديدات.
網絡安全威脅中的大型語言模型影響和緩解介紹快速開發大型語言模型(OLLM)徹底改變了自然語言處理、機器學習和人工智能等各個領域。然而,這些強大的工具也對網絡安全構成重大威脅。本書通過使讀者全面了解該領域的問題和解決方案,深入探討了與LLM相關的風險的識別和減輕。以下各節將介紹LLM的當前狀態、其潛在應用程序和相關風險以及應對這些威脅的策略。

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