Application of Large Language Models (LLMs) for Software Vulnerability Detection
Title | Application of Large Language Models (LLMs) for Software Vulnerability Detection PDF eBook |
Author | Omar, Marwan |
Publisher | IGI Global |
Pages | 534 |
Release | 2024-11-01 |
Genre | Computers |
ISBN |
Large Language Models (LLMs) are redefining the landscape of cybersecurity, offering innovative methods for detecting software vulnerabilities. By applying advanced AI techniques to identify and predict weaknesses in software code, including zero-day exploits and complex malware, LLMs provide a proactive approach to securing digital environments. This integration of AI and cybersecurity presents new possibilities for enhancing software security measures. Application of Large Language Models (LLMs) for Software Vulnerability Detection offers a comprehensive exploration of this groundbreaking field. These chapters are designed to bridge the gap between AI research and practical application in cybersecurity, in order to provide valuable insights for researchers, AI specialists, software developers, and industry professionals. Through real-world examples and actionable strategies, the publication will drive innovation in vulnerability detection and set new standards for leveraging AI in cybersecurity.
Foundations and Practice of Security
Title | Foundations and Practice of Security PDF eBook |
Author | Mohamed Mosbah |
Publisher | Springer Nature |
Pages | 468 |
Release | |
Genre | |
ISBN | 3031575377 |
Formal Methods and Software Engineering
Title | Formal Methods and Software Engineering PDF eBook |
Author | Yi Li |
Publisher | Springer Nature |
Pages | 320 |
Release | 2023-11-09 |
Genre | Computers |
ISBN | 9819975840 |
This book constitutes the proceedings of the 24th International Conference on Formal Methods and Software Engineering, ICFEM 2023, held in Brisbane, QLD, Australia, during November 21–24, 2023. The 13 full papers presented together with 8 doctoral symposium papers in this volume were carefully reviewed and selected from 34 submissions, the volume also contains one invited paper. The conference focuses on applying formal methods to practical applications and presents papers for research in all areas related to formal engineering methods.
Large Language Models in Cybersecurity
Title | Large Language Models in Cybersecurity PDF eBook |
Author | Andrei Kucharavy |
Publisher | Springer Nature |
Pages | 249 |
Release | 2024 |
Genre | Computer security |
ISBN | 3031548272 |
This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allowsafe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. This book represents the second in a series published by the Technology Monitoring (TM) team of the Cyber-Defence Campus. The first book entitled "Trends in Data Protection and Encryption Technologies" appeared in 2023. This book series provides technology and trend anticipation for government, industry, and academic decision-makers as well as technical experts.
The Developer's Playbook for Large Language Model Security
Title | The Developer's Playbook for Large Language Model Security PDF eBook |
Author | Steve Wilson |
Publisher | "O'Reilly Media, Inc." |
Pages | 197 |
Release | 2024-09-03 |
Genre | Computers |
ISBN | 1098162161 |
Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models. Complete with collective wisdom gained from the creation of the OWASP Top 10 for LLMs list—a feat accomplished by more than 400 industry experts—this guide delivers real-world guidance and practical strategies to help developers and security teams grapple with the realities of LLM applications. Whether you're architecting a new application or adding AI features to an existing one, this book is your go-to resource for mastering the security landscape of the next frontier in AI. You'll learn: Why LLMs present unique security challenges How to navigate the many risk conditions associated with using LLM technology The threat landscape pertaining to LLMs and the critical trust boundaries that must be maintained How to identify the top risks and vulnerabilities associated with LLMs Methods for deploying defenses to protect against attacks on top vulnerabilities Ways to actively manage critical trust boundaries on your systems to ensure secure execution and risk minimization
Generative AI for Effective Software Development
Title | Generative AI for Effective Software Development PDF eBook |
Author | Anh Nguyen-Duc |
Publisher | Springer Nature |
Pages | 346 |
Release | |
Genre | |
ISBN | 3031556429 |
Computer Security – ESORICS 2024
Title | Computer Security – ESORICS 2024 PDF eBook |
Author | Joaquin Garcia-Alfaro |
Publisher | Springer Nature |
Pages | 411 |
Release | |
Genre | |
ISBN | 3031708792 |