It Security Metrics A Practical Framework For Measuring Security Protecting Data

Implement an Effective Security Metrics Project or Program IT Security Metrics provides a comprehensive approach to measuring risks, threats, operational activities, and the effectiveness of data protection in your organization. The book explains how to choose and design effective measurement strategies and addresses the data requirements of those strategies. The Security Process Management Framework is introduced and analytical strategies for security metrics data are discussed. You'll learn how to take a security metrics program and adapt it to a variety of organizational contexts to achieve continuous security improvement over time. Real-world examples of security measurement projects are included in this definitive guide. Define security metrics as a manageable amount of usable data Design effective security metrics Understand quantitative and qualitative data, data sources, and collection and normalization methods Implement a programmable approach to security using the Security Process Management Framework Analyze security metrics data using quantitative and qualitative methods Design a security measurement project for operational analysis of security metrics Measure security operations, compliance, cost and value, and people, organizations, and culture Manage groups of security measurement projects using the Security Improvement Program Apply organizational learning methods to security metrics

About the Book : - IT Security Metrics provides a comprehensive approach to measuring risks, threats, operational activities, and the effectiveness of data protection in your organization. The book explains how to choose and design effective measurement strategies and addresses the data requirements of those strategies. The Security Process Management Framework is introduced and analytical strategies for security metrics data are discussed. You'll learn how to take a security metrics program and adapt it to a variety of organizational contexts to achieve continuous security improvement over time. Real-world examples of security measurement projects are included in this definitive guide. Define security metrics as a manageable amount of usable data Design effective security metrics Understand quantitative and qualitative data, data sources, and collection and normalization methods Implement a programmatic approach to security using the Security Process Management Framework. Analyze security metrics data using quantitative and qualitative methods Design a security measurement project for operational analysis of security metrics Measure security operations, compliance, cost and value, and people, organizations, and culture Manage groups of security measurement projects using the Security Improvement Program Apply organizational learning methods to security metricsLance Hayden, Ph.D. works for Cisco Systems, developing and managing security consulting services and contributing to new security product initiatives.

The Definitive Guide to Quantifying, Classifying, and Measuring Enterprise IT Security Operations Security Metrics is the first comprehensive best-practice guide to defining, creating, and utilizing security metrics in the enterprise. Using sample charts, graphics, case studies, and war stories, Yankee Group Security Expert Andrew Jaquith demonstrates exactly how to establish effective metrics based on your organization’s unique requirements. You’ll discover how to quantify hard-to-measure security activities, compile and analyze all relevant data, identify strengths and weaknesses, set cost-effective priorities for improvement, and craft compelling messages for senior management. Security Metrics successfully bridges management’s quantitative viewpoint with the nuts-and-bolts approach typically taken by security professionals. It brings together expert solutions drawn from Jaquith’s extensive consulting work in the software, aerospace, and financial services industries, including new metrics presented nowhere else. You’ll learn how to: • Replace nonstop crisis response with a systematic approach to security improvement • Understand the differences between “good” and “bad” metrics • Measure coverage and control, vulnerability management, password quality, patch latency, benchmark scoring, and business-adjusted risk • Quantify the effectiveness of security acquisition, implementation, and other program activities • Organize, aggregate, and analyze your data to bring out key insights • Use visualization to understand and communicate security issues more clearly • Capture valuable data from firewalls and antivirus logs, third-party auditor reports, and other resources • Implement balanced scorecards that present compact, holistic views of organizational security effectiveness

Security professionals are trained skeptics. They poke and prod at other people’s digital creations, expecting them to fail in unexpected ways. Shouldn’t that same skeptical power be turned inward? Shouldn’t practitioners ask: “How do I know that my enterprise security capabilities work? Are they scaling, accelerating, or slowing as the business exposes more value to more people and through more channels at higher velocities?” This is the start of the modern measurement mindset—the mindset that seeks to confront security with data. The Metrics Manifesto: Confronting Security with Data delivers an examination of security metrics with R, the popular open-source programming language and software development environment for statistical computing. This insightful and up-to-date guide offers readers a practical focus on applied measurement that can prove or disprove the efficacy of information security measures taken by a firm. The book’s detailed chapters combine topics like security, predictive analytics, and R programming to present an authoritative and innovative approach to security metrics. The author and security professional examines historical and modern methods of measurement with a particular emphasis on Bayesian Data Analysis to shed light on measuring security operations. Readers will learn how processing data with R can help measure security improvements and changes as well as help technology security teams identify and fix gaps in security. The book also includes downloadable code for people who are new to the R programming language. Perfect for security engineers, risk engineers, IT security managers, CISOs, and data scientists comfortable with a bit of code, The Metrics Manifesto offers readers an invaluable collection of information to help professionals prove the efficacy of security measures within their company.

This book presents a framework to model the main activities of information security management and governance. The same model can be used for any security sub-domain such as cybersecurity, data protection, access rights management, business continuity, etc.

This book constitutes the proceedings of the Second International Conference on Machine Learning for Cyber Security, ML4CS 2019, held in Xi’an, China in September 2019. The 23 revised full papers and 3 short papers presented were carefully reviewed and selected from 70 submissions. The papers detail all aspects of machine learning in network infrastructure security, in network security detections and in application software security.

This book provides profound insights into industrial control system resilience, exploring fundamental and advanced topics and including practical examples and scenarios to support the theoretical approaches. It examines issues related to the safe operation of control systems, risk analysis and assessment, use of attack graphs to evaluate the resiliency of control systems, preventive maintenance, and malware detection and analysis. The book also discusses sensor networks and Internet of Things devices. Moreover, it covers timely responses to malicious attacks and hazardous situations, helping readers select the best approaches to handle such unwanted situations. The book is essential reading for engineers, researchers, and specialists addressing security and safety issues related to the implementation of modern industrial control systems. It is also a valuable resource for students interested in this area.

Security Smarts for the Self-Guided IT Professional “An extraordinarily thorough and sophisticated explanation of why you need to measure the effectiveness of your security program and how to do it. A must-have for any quality security program!” —Dave Cullinane, CISSP, CISO & VP, Global Fraud, Risk & Security, eBay Learn how to communicate the value of an information security program, enable investment planning and decision making, and drive necessary change to improve the security of your organization. Security Metrics: A Beginner's Guide explains, step by step, how to develop and implement a successful security metrics program. This practical resource covers project management, communication, analytics tools, identifying targets, defining objectives, obtaining stakeholder buy-in, metrics automation, data quality, and resourcing. You'll also get details on cloud-based security metrics and process improvement. Templates, checklists, and examples give you the hands-on help you need to get started right away. Security Metrics: A Beginner's Guide features: Lingo--Common security terms defined so that you're in the know on the job IMHO--Frank and relevant opinions based on the author's years of industry experience Budget Note--Tips for getting security technologies and processes into your organization's budget In Actual Practice--Exceptions to the rules of security explained in real-world contexts Your Plan--Customizable checklists you can use on the job now Into Action--Tips on how, why, and when to apply new skills and techniques at work Caroline Wong, CISSP, was formerly the Chief of Staff for the Global Information Security Team at eBay, where she built the security metrics program from the ground up. She has been a featured speaker at RSA, ITWeb Summit, Metricon, the Executive Women's Forum, ISC2, and the Information Security Forum.