Falcon Return Json
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Managing the Cyber Risk
DESCRIPTION In today's ever-expanding digital world, cyber threats are constantly evolving, and organizations are struggling to keep pace. Managing the Cyber Risk equips CISOs and security professionals with the knowledge and strategies necessary to build a robust defense against these ever-present dangers. This comprehensive guide takes you on a journey through the evolving threat landscape, dissecting attacker motivations and methods, and recognizing modern dangers like AI-driven attacks and cloud vulnerabilities. You will learn to quantify the real-world cost of cybercrime, providing a clear justification for robust security measures. The book guides you through building a powerful vulnerability management program, covering asset discovery, scanning techniques (including penetration testing and threat intelligence integration), in-depth risk analysis using CVSS, and effective prioritization and remediation strategies. Cultivating a security-aware culture is paramount, and you will explore employee training, incident response planning, the crucial roles of security champions and SOCs, and the importance of measuring security program effectiveness. Finally, it teaches advanced techniques like continuous threat detection and response, deception technologies for proactive threat hunting, integrating security into development pipelines with DevSecOps, and understanding future trends shaping cybersecurity. By the time you reach the final chapter, including the invaluable CISO's toolkit with practical templates and resources, you will possess a holistic understanding of threat and vulnerability management. You will be able to strategically fortify your digital assets, proactively defend against sophisticated attacks, and confidently lead your organization towards a state of robust cyber resilience, truly mastering your cyber risk management. WHAT YOU WILL LEARN ● Grasp evolving threats (malware, AI), cybercrime costs, and VM principles comprehensively. ● Analyze attacker motivations, vectors (phishing, SQLi), and modern landscape intricacies. ● Establish a vulnerability management program tailored to your organization's specific needs. ● Foster a culture of security awareness within your workforce. ● Leverage cutting-edge tools and techniques for proactive threat hunting and incident response. ● Implement security awareness, incident response, and SOC operations technically. ● Understand future cybersecurity trends (AI, blockchain, quantum implications). WHO THIS BOOK IS FOR This book is for cybersecurity professionals, including managers and architects, IT managers, system administrators, security analysts, and CISOs seeking a comprehensive understanding of threat and vulnerability management. Prior basic knowledge of networking principles and cybersecurity concepts could be helpful to fully leverage the technical depth presented. TABLE OF CONTENTS 1. Rise of Vulnerability Management 2. Understanding Threats 3. The Modern Threat Landscape 4. The Cost of Cybercrime 5. Foundations of Vulnerability Management 6. Vulnerability Scanning and Assessment Techniques 7. Vulnerability Risk Analysis 8. Patch Management Prioritization and Remediation 9. Security Awareness Training and Employee Education 10. Planning Incident Response and Disaster Recovery 11. Role of Security Champions and Security Operations Center 12. Measuring Program Effectiveness 13. Continuous Threat Detection and Response 14. Deception Technologies and Threat Hunting 15. Integrating Vulnerability Management with DevSecOps Pipelines 16. Emerging Technology and Future of Vulnerability Management 17. The CISO’s Toolkit APPENDIX: Glossary of Terms
Learning Python
Author: Fabrizio Romano
language: en
Publisher: Packt Publishing Ltd
Release Date: 2015-12-24
Learn to code like a professional with Python – an open source, versatile, and powerful programming language Key Features Learn the fundamentals of programming with Python – one of the best languages ever created Develop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python’s portability Create outstanding applications of all kind, from websites to scripting, and from GUIs to data science Book DescriptionLearning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. What you will learn Get Python up and running on Windows, Mac, and Linux in no time Grasp the fundamental concepts of coding, along with the basics of data structures and control flow. Write elegant, reusable, and efficient code in any situation Understand when to use the functional or the object oriented programming approach Create bulletproof, reliable software by writing tests to support your code Explore examples of GUIs, scripting, data science and web applications Learn to be independent, capable of fetching any resource you need, as well as dig deeper Who this book is for Python is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need. Its amazing design and portability will help you become productive regardless of the environment you choose to work with.
Automating Security Detection Engineering
Accelerate security detection development with AI-enabled technical solutions using threat-informed defense Key Features Create automated CI/CD pipelines for testing and implementing threat detection use cases Apply implementation strategies to optimize the adoption of automated work streams Use a variety of enterprise-grade tools and APIs to bolster your detection program Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionToday's global enterprise security programs grapple with constantly evolving threats. Even though the industry has released abundant security tools, most of which are equipped with APIs for integrations, they lack a rapid detection development work stream. This book arms you with the skills you need to automate the development, testing, and monitoring of detection-based use cases. You’ll start with the technical architecture, exploring where automation is conducive throughout the detection use case lifecycle. With the help of hands-on labs, you’ll learn how to utilize threat-informed defense artifacts and then progress to creating advanced AI-powered CI/CD pipelines to bolster your Detection as Code practices. Along the way, you'll develop custom code for EDRs, WAFs, SIEMs, CSPMs, RASPs, and NIDS. The book will also guide you in developing KPIs for program monitoring and cover collaboration mechanisms to operate the team with DevSecOps principles. Finally, you'll be able to customize a Detection as Code program that fits your organization's needs. By the end of the book, you'll have gained the expertise to automate nearly the entire use case development lifecycle for any enterprise.What you will learn Understand the architecture of Detection as Code implementations Develop custom test functions using Python and Terraform Leverage common tools like GitHub and Python 3.x to create detection-focused CI/CD pipelines Integrate cutting-edge technology and operational patterns to further refine program efficacy Apply monitoring techniques to continuously assess use case health Create, structure, and commit detections to a code repository Who this book is for This book is for security engineers and analysts responsible for the day-to-day tasks of developing and implementing new detections at scale. If you’re working with existing programs focused on threat detection, you’ll also find this book helpful. Prior knowledge of DevSecOps, hands-on experience with any programming or scripting languages, and familiarity with common security practices and tools are recommended for an optimal learning experience.