| data risk management framework: FISMA and the Risk Management Framework Daniel R. Philpott, Stephen D. Gantz, 2012-12-31 FISMA and the Risk Management Framework: The New Practice of Federal Cyber Security deals with the Federal Information Security Management Act (FISMA), a law that provides the framework for securing information systems and managing risk associated with information resources in federal government agencies. Comprised of 17 chapters, the book explains the FISMA legislation and its provisions, strengths and limitations, as well as the expectations and obligations of federal agencies subject to FISMA. It also discusses the processes and activities necessary to implement effective information security management following the passage of FISMA, and it describes the National Institute of Standards and Technology's Risk Management Framework. The book looks at how information assurance, risk management, and information systems security is practiced in federal government agencies; the three primary documents that make up the security authorization package: system security plan, security assessment report, and plan of action and milestones; and federal information security-management requirements and initiatives not explicitly covered by FISMA. This book will be helpful to security officers, risk managers, system owners, IT managers, contractors, consultants, service providers, and others involved in securing, managing, or overseeing federal information systems, as well as the mission functions and business processes supported by those systems. - Learn how to build a robust, near real-time risk management system and comply with FISMA - Discover the changes to FISMA compliance and beyond - Gain your systems the authorization they need |
| data risk management framework: Operational Risk Management Philippa X. Girling, 2013-10-14 A best practices guide to all of the elements of an effective operational risk framework While many organizations know how important operational risks are, they still continue to struggle with the best ways to identify and manage them. Organizations of all sizes and in all industries need best practices for identifying and managing key operational risks, if they intend on exceling in today's dynamic environment. Operational Risk Management fills this need by providing both the new and experienced operational risk professional with all of the tools and best practices needed to implement a successful operational risk framework. It also provides real-life examples of successful methods and tools you can use while facing the cultural challenges that are prevalent in this field. Contains informative post-mortems on some of the most notorious operational risk events of our time Explores the future of operational risk in the current regulatory environment Written by a recognized global expert on operational risk An effective operational risk framework is essential for today's organizations. This book will put you in a better position to develop one and use it to identify, assess, control, and mitigate any potential risks of this nature. |
| data risk management framework: The DAMA Dictionary of Data Management Dama International, 2011 A glossary of over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the DAMA Data Management Body of Knowledge (DAMA-DMBOK). Topics include: Analytics & Data Mining Architecture Artificial Intelligence Business Analysis DAMA & Professional Development Databases & Database Design Database Administration Data Governance & Stewardship Data Management Data Modeling Data Movement & Integration Data Quality Management Data Security Management Data Warehousing & Business Intelligence Document, Record & Content Management Finance & Accounting Geospatial Data Knowledge Management Marketing & Customer Relationship Management Meta-Data Management Multi-dimensional & OLAP Normalization Object-Orientation Parallel Database Processing Planning Process Management Project Management Reference & Master Data Management Semantic Modeling Software Development Standards Organizations Structured Query Language (SQL) XML Development |
| data risk management framework: Data Protection Implementation Guide Brendan Quinn, 2021-09-02 The complexities of implementing the General Data Protection Regulation (GDPR) continue to grow as it progresses through new and ever-changing technologies, business models, codes of conduct, and decisions of the supervisory authorities, and the courts. This eminently practical guide to implementing the GDPR – written in an original, problem-solving style by a highly experienced data protection expert with equal knowledge of both law and technology – provides a step-by-step project management approach to building a GDPR-compliant data protection system, assessing, and documenting the risks and then implementing these changes through processes at the operational level. With detailed attention to case law (Member State, ECJ, and ECHR), especially where affecting high-risk areas that have attracted scrutiny, the guidance proceeds systematically through such topics and issues as the following: required documentation, policies, and procedures; risk assessment tools and analysis frameworks; children’s data; employee and health data; international transfers post-Schrems II; data subject rights including the right of access; data retention and erasure; tracking and surveillance; and effects of technologies such as artificial intelligence, biometrics, and machine learning. With its practical examples derived from the author’s experience in building GDPR-compliant software, as well as its analysis of case law and enforcement priorities, this incomparable guide enables company data protection officers and compliance staff to advise on key issues with full awareness of the legal and reputational risks and how to mitigate them. It is also sure to be of immeasurable value to concerned regulators and policymakers at all government levels. “…it's going to be the go to resource for practitioners.” Tom Gilligan, Data Protection Consultant, September 2021 I purchased this book recently and I’m very glad I did. It’s the textbook I have been waiting for. As someone relatively new to data protection, I was finding it very difficult to find books on the practical side of data protection. This book is very clearly laid out with practical examples and case law given for each topic, which is immensely helpful. I would recommend it to any data protection practitioners. Jennifer Breslin, LLM CIPP/E, AIPP Member |
| data risk management framework: Cybersecurity Risk Management Cynthia Brumfield, 2021-12-09 Cybersecurity Risk Management In Cybersecurity Risk Management: Mastering the Fundamentals Using the NIST Cybersecurity Framework, veteran technology analyst Cynthia Brumfield, with contributions from cybersecurity expert Brian Haugli, delivers a straightforward and up-to-date exploration of the fundamentals of cybersecurity risk planning and management. The book offers readers easy-to-understand overviews of cybersecurity risk management principles, user, and network infrastructure planning, as well as the tools and techniques for detecting cyberattacks. The book also provides a roadmap to the development of a continuity of operations plan in the event of a cyberattack. With incisive insights into the Framework for Improving Cybersecurity of Critical Infrastructure produced by the United States National Institute of Standards and Technology (NIST), Cybersecurity Risk Management presents the gold standard in practical guidance for the implementation of risk management best practices. Filled with clear and easy-to-follow advice, this book also offers readers: A concise introduction to the principles of cybersecurity risk management and the steps necessary to manage digital risk to systems, assets, data, and capabilities A valuable exploration of modern tools that can improve an organization’s network infrastructure protection A practical discussion of the challenges involved in detecting and responding to a cyberattack and the importance of continuous security monitoring A helpful examination of the recovery from cybersecurity incidents Perfect for undergraduate and graduate students studying cybersecurity, Cybersecurity Risk Management is also an ideal resource for IT professionals working in private sector and government organizations worldwide who are considering implementing, or who may be required to implement, the NIST Framework at their organization. |
| data risk management framework: Operational Risk Management Ron S. Kenett, Yossi Raanan, 2011-06-20 Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of near-misses data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems. |
| data risk management framework: Data Analytics for Engineering and Construction Project Risk Management Ivan Damnjanovic, Kenneth Reinschmidt, 2019-05-23 This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve, and/or simplify corporate project management processes. The book places emphasis on building data-driven models for additive-incremental risks, where data can be collected on project sites, assembled from queries of corporate databases, and/or generated using procedures for eliciting experts’ judgments. While the presented models are mathematically inspired, they are nothing beyond what an engineering graduate is expected to know: some algebra, a little calculus, a little statistics, and, especially, undergraduate-level understanding of the probability theory. The book is organized in three parts and fourteen chapters. In Part I the authors provide the general introduction to risk and uncertainty analysis applied to engineering construction projects. The basic formulations and the methods for risk assessment used during project planning phase are discussed in Part II, while in Part III the authors present the methods for monitoring and (re)assessment of risks during project execution. |
| data risk management framework: Non-Invasive Data Governance Robert S. Seiner, 2014-09-01 Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve. |
| data risk management framework: The Risk IT Framework Isaca, 2009 |
| data risk management framework: Implementing Enterprise Risk Management James Lam, 2017-03-13 A practical, real-world guide for implementing enterprise risk management (ERM) programs into your organization Enterprise risk management (ERM) is a complex yet critical issue that all companies must deal with in the twenty-first century. Failure to properly manage risk continues to plague corporations around the world. ERM empowers risk professionals to balance risks with rewards and balance people with processes. But to master the numerous aspects of enterprise risk management, you must integrate it into the culture and operations of the business. No one knows this better than risk management expert James Lam, and now, with Implementing Enterprise Risk Management: From Methods to Applications, he distills more than thirty years' worth of experience in the field to give risk professionals a clear understanding of how to implement an enterprise risk management program for every business. Offers valuable insights on solving real-world business problems using ERM Effectively addresses how to develop specific ERM tools Contains a significant number of case studies to help with practical implementation of an ERM program While Enterprise Risk Management: From Incentives to Controls, Second Edition focuses on the what of ERM, Implementing Enterprise Risk Management: From Methods to Applications will help you focus on the how. Together, these two resources can help you meet the enterprise-wide risk management challenge head on—and succeed. |
| data risk management framework: The Risk IT Practitioner Guide Isaca, 2009 |
| data risk management framework: DevSecOps Transformation Control Framework Michael Bergman, 2024-08-22 This quick read book defines the DevSecOps Transformation Control Framework. Providing security control checklists for every phase of DevSecOps. Detailing a multidisciplinary transformation effort calling to action the Governance, Risk, and Compliance teams, along with security, auditors, and developers. The uniqueness of these checklists lies in their phase-specific design and focus on aligning security with the team's existing way of working. They align the skills required to execute security mechanisms with those of the team executing each phase. Asserting that a close alignment, is less disruptive to the team's way of working, and consequently more conducive to maintaining the delivery speed of DevSecOps. The checklists encapsulate alignment initiatives that first enhance tried and tested security processes, like data risk assessments, threat analysis and audits, keeping their effectiveness but adapting them to the speed of DevSecOps. Secondly, it uses container technologies as catalysts to streamline the integration of security controls, piggy-backing off the automated progression of containers through the pipeline, to automate the execution and testing of security controls. Providing a blueprint for organisations seeking to secure their system development approach while maintaining its speed. |
| data risk management framework: Risk Management and Governance Terje Aven, Ortwin Renn, 2010-09-27 Risk is a popular topic in many sciences - in natural, medical, statistical, engineering, social, economic and legal disciplines. Yet, no single discipline can grasp the full meaning of risk. Investigating risk requires a multidisciplinary approach. The authors, coming from two very different disciplinary traditions, meet this challenge by building bridges between the engineering, the statistical and the social science perspectives. The book provides a comprehensive, accessible and concise guide to risk assessment, management and governance. A basic pillar for the book is the risk governance framework proposed by the International Risk Governance Council (IRGC). This framework offers a comprehensive means of integrating risk identification, assessment, management and communication. The authors develop and explain new insights and add substance to the various elements of the framework. The theoretical analysis is illustrated by several examples from different areas of applications. |
| data risk management framework: COBIT 5 for Risk ISACA, 2013-09-25 Information is a key resource for all enterprises. From the time information is created to the moment it is destroyed, technology plays a significant role in containing, distributing and analysing information. Technology is increasingly advanced and has become pervasive in enterprises and the social, public and business environments. |
| data risk management framework: Global Risk Governance Ortwin Renn, Katherine D. Walker, 2008-12-18 The establishment of the International Risk Governance Council (IRGC) was the direct result of widespread concern that the complexity and interdependence of health, environmental, and technological risks facing the world was making the development and implementation of adequate risk governance strategies ever more difficult. This volume details the IRGC developed and proposed framework for risk governance and covers how it was peer reviewed as well as tested |
| data risk management framework: Nist Special Publication 800-37 (REV 1) National Institute National Institute of Standards and Technology, 2018-06-19 This publication provides guidelines for applying the Risk Management Framework (RMF) to federal information systems. The six-step RMF includes security categorization, security control selection, security control implementation, security control assessment, information system authorization, and security control monitoring. |
| data risk management framework: Risk Management Framework for Fourth Industrial Revolution Technologies Omoseni Oyindamola Adepoju, Nnamdi Ikechi Nwulu, Love Opeyemi David, 2024-10-24 This book focuses on major challenges posed by the Fourth Industrial Revolution (4IR), particularly the associated risks. By recognizing and addressing these risks, it bridges the gap between technological advancements and effective risk management. It further facilitates a swift adoption of technology and equips readers with the knowledge to be cautious during its implementation. Divided into three parts, it covers an overview of 4IR and explores the risks and risk management techniques and comprehensive risk management framework specifically tailored for the 4IR. Features: • Establishes a risk management framework for Industry 4.0 technologies. • Provides a ‘one stop shop’ of different technologies emerging in the Fourth Industrial Revolution. • Follows a consistent structure for each key Industry 4.0 technology in separate chapters. • Details required risk management skills for the technologies of the Fourth Industrial Revolution. • Covers risk monitoring, control, and mitigation measures. This book is aimed at graduate students, technology enthusiasts, and researchers in computer sciences, technology management, business management, and industrial engineering. |
| data risk management framework: Cyber-Risk Management Atle Refsdal, Bjørnar Solhaug, Ketil Stølen, 2015-10-01 This book provides a brief and general introduction to cybersecurity and cyber-risk assessment. Not limited to a specific approach or technique, its focus is highly pragmatic and is based on established international standards (including ISO 31000) as well as industrial best practices. It explains how cyber-risk assessment should be conducted, which techniques should be used when, what the typical challenges and problems are, and how they should be addressed. The content is divided into three parts. First, part I provides a conceptual introduction to the topic of risk management in general and to cybersecurity and cyber-risk management in particular. Next, part II presents the main stages of cyber-risk assessment from context establishment to risk treatment and acceptance, each illustrated by a running example. Finally, part III details four important challenges and how to reasonably deal with them in practice: risk measurement, risk scales, uncertainty, and low-frequency risks with high consequence. The target audience is mainly practitioners and students who are interested in the fundamentals and basic principles and techniques of security risk assessment, as well as lecturers seeking teaching material. The book provides an overview of the cyber-risk assessment process, the tasks involved, and how to complete them in practice. |
| data risk management framework: Risk Management Framework James Broad, 2013-07-03 The RMF allows an organization to develop an organization-wide risk framework that reduces the resources required to authorize a systems operation. Use of the RMF will help organizations maintain compliance with not only FISMA and OMB requirements but can also be tailored to meet other compliance requirements such as Payment Card Industry (PCI) or Sarbanes Oxley (SOX). With the publishing of NIST SP 800-37 in 2010 and the move of the Intelligence Community and Department of Defense to modified versions of this process, clear implementation guidance is needed to help individuals correctly implement this process. No other publication covers this topic in the detail provided in this book or provides hands-on exercises that will enforce the topics. Examples in the book follow a fictitious organization through the RMF, allowing the reader to follow the development of proper compliance measures. Templates provided in the book allow readers to quickly implement the RMF in their organization. The need for this book continues to expand as government and non-governmental organizations build their security programs around the RMF. The companion website provides access to all of the documents, templates and examples needed to not only understand the RMF but also implement this process in the reader's own organization. - A comprehensive case study from initiation to decommission and disposal - Detailed explanations of the complete RMF process and its linkage to the SDLC - Hands on exercises to reinforce topics - Complete linkage of the RMF to all applicable laws, regulations and publications as never seen before |
| data risk management framework: Federal Cloud Computing Matthew Metheny, 2012-12-31 Federal Cloud Computing: The Definitive Guide for Cloud Service Providers offers an in-depth look at topics surrounding federal cloud computing within the federal government, including the Federal Cloud Computing Strategy, Cloud Computing Standards, Security and Privacy, and Security Automation. You will learn the basics of the NIST risk management framework (RMF) with a specific focus on cloud computing environments, all aspects of the Federal Risk and Authorization Management Program (FedRAMP) process, and steps for cost-effectively implementing the Assessment and Authorization (A&A) process, as well as strategies for implementing Continuous Monitoring, enabling the Cloud Service Provider to address the FedRAMP requirement on an ongoing basis. - Provides a common understanding of the federal requirements as they apply to cloud computing - Provides a targeted and cost-effective approach for applying the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) - Provides both technical and non-technical perspectives of the Federal Assessment and Authorization (A&A) process that speaks across the organization |
| data risk management framework: Unveiling the NIST Risk Management Framework (RMF) Thomas Marsland, 2024-04-30 Gain an in-depth understanding of the NIST Risk Management Framework life cycle and leverage real-world examples to identify and manage risks Key Features Implement NIST RMF with step-by-step instructions for effective security operations Draw insights from case studies illustrating the application of RMF principles in diverse organizational environments Discover expert tips for fostering a strong security culture and collaboration between security teams and the business Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis comprehensive guide provides clear explanations, best practices, and real-world examples to help readers navigate the NIST Risk Management Framework (RMF) and develop practical skills for implementing it effectively. By the end, readers will be equipped to manage and mitigate cybersecurity risks within their organization. What you will learn Understand how to tailor the NIST Risk Management Framework to your organization's needs Come to grips with security controls and assessment procedures to maintain a robust security posture Explore cloud security with real-world examples to enhance detection and response capabilities Master compliance requirements and best practices with relevant regulations and industry standards Explore risk management strategies to prioritize security investments and resource allocation Develop robust incident response plans and analyze security incidents efficiently Who this book is for This book is for cybersecurity professionals, IT managers and executives, risk managers, and policymakers. Government officials in federal agencies, where adherence to NIST RMF is crucial, will find this resource especially useful for implementing and managing cybersecurity risks. A basic understanding of cybersecurity principles, especially risk management, and awareness of IT and network infrastructure is assumed. |
| data risk management framework: Risk Management Framework James Broad, 2013 Phishing Exposed unveils the techniques phishers employ that enable them to successfully commit fraudulent acts against the global financial industry. Also highlights the motivation, psychology and legal aspects encircling this deceptive art of exploitation. The External Threat Assessment Team will outline innovative forensic techniques employed in order to unveil the identities of these organized individuals, and does not hesitate to remain candid about the legal complications that make prevention and apprehension so difficult today. This title provides an in-depth, high-tech view from both sides of the playing field, and is a real eye-opener for the average internet user, the advanced security engineer, on up through the senior executive management of a financial institution. This is the book to provide the intelligence necessary to stay one step ahead of the enemy, and to successfully employ a pro-active and confident strategy against the evolving attacks against e-commerce and its customers. * Unveils the techniques phishers employ that enable them to successfully commit fraudulent acts * Offers an in-depth, high-tech view from both sides of the playing field to this current epidemic * Stay one step ahead of the enemy with all the latest information. |
| data risk management framework: Enterprise Risk Management James Lam, 2014-01-06 A fully revised second edition focused on the best practices of enterprise risk management Since the first edition of Enterprise Risk Management: From Incentives to Controls was published a decade ago, much has changed in the worlds of business and finance. That's why James Lam has returned with a new edition of this essential guide. Written to reflect today's dynamic market conditions, the Second Edition of Enterprise Risk Management: From Incentives to Controls clearly puts this discipline in perspective. Engaging and informative, it skillfully examines both the art as well as the science of effective enterprise risk management practices. Along the way, it addresses the key concepts, processes, and tools underlying risk management, and lays out clear strategies to manage what is often a highly complex issue. Offers in-depth insights, practical advice, and real-world case studies that explore the various aspects of ERM Based on risk management expert James Lam's thirty years of experience in this field Discusses how a company should strive for balance between risk and return Failure to properly manage risk continues to plague corporations around the world. Don't let it hurt your organization. Pick up the Second Edition of Enterprise Risk Management: From Incentives to Controls and learn how to meet the enterprise-wide risk management challenge head on, and succeed. |
| data risk management framework: The Failure of Risk Management Douglas W. Hubbard, 2009-04-27 An essential guide to the calibrated risk analysis approach The Failure of Risk Management takes a close look at misused and misapplied basic analysis methods and shows how some of the most popular risk management methods are no better than astrology! Using examples from the 2008 credit crisis, natural disasters, outsourcing to China, engineering disasters, and more, Hubbard reveals critical flaws in risk management methods–and shows how all of these problems can be fixed. The solutions involve combinations of scientifically proven and frequently used methods from nuclear power, exploratory oil, and other areas of business and government. Finally, Hubbard explains how new forms of collaboration across all industries and government can improve risk management in every field. Douglas W. Hubbard (Glen Ellyn, IL) is the inventor of Applied Information Economics (AIE) and the author of Wiley's How to Measure Anything: Finding the Value of Intangibles in Business (978-0-470-11012-6), the #1 bestseller in business math on Amazon. He has applied innovative risk assessment and risk management methods in government and corporations since 1994. Doug Hubbard, a recognized expert among experts in the field of risk management, covers the entire spectrum of risk management in this invaluable guide. There are specific value-added take aways in each chapter that are sure to enrich all readers including IT, business management, students, and academics alike —Peter Julian, former chief-information officer of the New York Metro Transit Authority. President of Alliance Group consulting In his trademark style, Doug asks the tough questions on risk management. A must-read not only for analysts, but also for the executive who is making critical business decisions. —Jim Franklin, VP Enterprise Performance Management and General Manager, Crystal Ball Global Business Unit, Oracle Corporation. |
| data risk management framework: Rational Cybersecurity for Business Dan Blum, 2020-06-27 Use the guidance in this comprehensive field guide to gain the support of your top executives for aligning a rational cybersecurity plan with your business. You will learn how to improve working relationships with stakeholders in complex digital businesses, IT, and development environments. You will know how to prioritize your security program, and motivate and retain your team. Misalignment between security and your business can start at the top at the C-suite or happen at the line of business, IT, development, or user level. It has a corrosive effect on any security project it touches. But it does not have to be like this. Author Dan Blum presents valuable lessons learned from interviews with over 70 security and business leaders. You will discover how to successfully solve issues related to: risk management, operational security, privacy protection, hybrid cloud management, security culture and user awareness, and communication challenges. This book presents six priority areas to focus on to maximize the effectiveness of your cybersecurity program: risk management, control baseline, security culture, IT rationalization, access control, and cyber-resilience. Common challenges and good practices are provided for businesses of different types and sizes. And more than 50 specific keys to alignment are included. What You Will Learn Improve your security culture: clarify security-related roles, communicate effectively to businesspeople, and hire, motivate, or retain outstanding security staff by creating a sense of efficacy Develop a consistent accountability model, information risk taxonomy, and risk management framework Adopt a security and risk governance model consistent with your business structure or culture, manage policy, and optimize security budgeting within the larger business unit and CIO organization IT spend Tailor a control baseline to your organization’s maturity level, regulatory requirements, scale, circumstances, and critical assets Help CIOs, Chief Digital Officers, and other executives to develop an IT strategy for curating cloud solutions and reducing shadow IT, building up DevSecOps and Disciplined Agile, and more Balance access control and accountability approaches, leverage modern digital identity standards to improve digital relationships, and provide data governance and privacy-enhancing capabilities Plan for cyber-resilience: work with the SOC, IT, business groups, and external sources to coordinate incident response and to recover from outages and come back stronger Integrate your learnings from this book into a quick-hitting rational cybersecurity success plan Who This Book Is For Chief Information Security Officers (CISOs) and other heads of security, security directors and managers, security architects and project leads, and other team members providing security leadership to your business |
| data risk management framework: Risk Management and Corporate Governance Organization for Economic Cooperation and Development, 2014 This sixth peer review of the OECD Principles of Corporate Governance analyses the corporate governance framework and practices relating to corporate risk management, in the private sector and in state-owned enterprises. The review covers 26 jurisdictions and is based on a general survey of all participating jurisdictions in December 2012, as well as an in-depth review of corporate risk management in Norway, Singapore and Switzerland. The report finds that while risk-taking is a fundamental driving force in business and entrepreneurship, the cost of risk management failures is often underestimated, both externally and internally, including the cost in terms of management time needed to rectify the situation. The reports thus concludes that corporate governance should ensure that risks are understood, managed, and, when appropriate, communicated. |
| data risk management framework: Strategic Risk Taking Aswath Damodaran, 2008 Groundbreaking book that redefines risk in business as potentially powerful strategically to help increase profits. bull; Get out of your defensive crouch : learn which risks to avoid, which to mitigate, and which to actively exploit. bull; Master risk management techniques that can drive competitive advantage, increase firm value, and enhance growth and profitability. bull; By Dr. Aswath Damodaran, one of the field's top gurus - known worldwide for his classic guides to corporate finance and valuation. |
| data risk management framework: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight. |
| data risk management framework: Standards for Internal Control in the Federal Government United States Government Accountability Office, 2019-03-24 Policymakers and program managers are continually seeking ways to improve accountability in achieving an entity's mission. A key factor in improving accountability in achieving an entity's mission is to implement an effective internal control system. An effective internal control system helps an entity adapt to shifting environments, evolving demands, changing risks, and new priorities. As programs change and entities strive to improve operational processes and implement new technology, management continually evaluates its internal control system so that it is effective and updated when necessary. Section 3512 (c) and (d) of Title 31 of the United States Code (commonly known as the Federal Managers' Financial Integrity Act (FMFIA)) requires the Comptroller General to issue standards for internal control in the federal government. |
| data risk management framework: Measuring and Managing Information Risk Jack Freund, Jack Jones, 2014-08-23 Using the factor analysis of information risk (FAIR) methodology developed over ten years and adopted by corporations worldwide, Measuring and Managing Information Risk provides a proven and credible framework for understanding, measuring, and analyzing information risk of any size or complexity. Intended for organizations that need to either build a risk management program from the ground up or strengthen an existing one, this book provides a unique and fresh perspective on how to do a basic quantitative risk analysis. Covering such key areas as risk theory, risk calculation, scenario modeling, and communicating risk within the organization, Measuring and Managing Information Risk helps managers make better business decisions by understanding their organizational risk. - Uses factor analysis of information risk (FAIR) as a methodology for measuring and managing risk in any organization. - Carefully balances theory with practical applicability and relevant stories of successful implementation. - Includes examples from a wide variety of businesses and situations presented in an accessible writing style. |
| data risk management framework: OECD SME and Entrepreneurship Outlook 2019 OECD, 2019-05-20 The new OECD SME and Entrepreneurship Outlook presents the latest trends in performance of small and medium-sized enterprises (SMEs) and provides a comprehensive overview of business conditions and policy frameworks for SMEs and entrepreneurs. This year’s edition provides comparative evidence on business dynamism, productivity growth, wage gaps and export trends by firm size across OECD countries and emerging economies. |
| data risk management framework: Ten Years to Midnight Blair H. Sheppard, 2020-08-04 “Shows how humans have brought us to the brink and how humanity can find solutions. I urge people to read with humility and the daring to act.” —Harpal Singh, former Chair, Save the Children, India, and former Vice Chair, Save the Children International In conversations with people all over the world, from government officials and business leaders to taxi drivers and schoolteachers, Blair Sheppard, global leader for strategy and leadership at PwC, discovered they all had surprisingly similar concerns. In this prescient and pragmatic book, he and his team sum up these concerns in what they call the ADAPT framework: Asymmetry of wealth; Disruption wrought by the unexpected and often problematic consequences of technology; Age disparities--stresses caused by very young or very old populations in developed and emerging countries; Polarization as a symptom of the breakdown in global and national consensus; and loss of Trust in the institutions that underpin and stabilize society. These concerns are in turn precipitating four crises: a crisis of prosperity, a crisis of technology, a crisis of institutional legitimacy, and a crisis of leadership. Sheppard and his team analyze the complex roots of these crises--but they also offer solutions, albeit often seemingly counterintuitive ones. For example, in an era of globalization, we need to place a much greater emphasis on developing self-sustaining local economies. And as technology permeates our lives, we need computer scientists and engineers conversant with sociology and psychology and poets who can code. The authors argue persuasively that we have only a decade to make headway on these problems. But if we tackle them now, thoughtfully, imaginatively, creatively, and energetically, in ten years we could be looking at a dawn instead of darkness. |
| data risk management framework: Super Charge Your Data Warehouse Dan Linstedt, 2011-11-11 Do You Know If Your Data Warehouse Flexible, Scalable, Secure and Will It Stand The Test Of Time And Avoid Being Part Of The Dreaded Life Cycle? The Data Vault took the Data Warehouse world by storm when it was released in 2001. Some of the world's largest and most complex data warehouse situations understood the value it gave especially with the capabilities of unlimited scaling, flexibility and security. Here is what industry leaders say about the Data Vault The Data Vault is the optimal choice for modeling the EDW in the DW 2.0 framework - Bill Inmon, The Father of Data Warehousing The Data Vault is foundationally strong and an exceptionally scalable architecture - Stephen Brobst, CTO, Teradata The Data Vault should be considered as a potential standard for RDBMS-based analytic data management by organizations looking to achieve a high degree of flexibility, performance and openness - Doug Laney, Deloitte Analytics Institute I applaud Dan's contribution to the body of Business Intelligence and Data Warehousing knowledge and recommend this book be read by both data professionals and end users - Howard Dresner, From the Foreword - Speaker, Author, Leading Research Analyst and Advisor You have in your hands the work, experience and testing of 2 decades of building data warehouses. The Data Vault model and methodology has proven itself in hundreds (perhaps thousands) of solutions in Insurance, Crime-Fighting, Defense, Retail, Finance, Banking, Power, Energy, Education, High-Tech and many more. Learn the techniques and implement them and learn how to build your Data Warehouse faster than you have ever done before while designing it to grow and scale no matter what you throw at it. Ready to Super Charge Your Data Warehouse? |
| data risk management framework: Information Risk Management David Sutton, 2014 Information risk management (IRM) is about identifying, assessing and prioritising risks to keep information secure and available. This accessible book is a practical guide to understanding the principles of IRM and developing a strategic approach to an IRM programme. It also includes a chapter on applying IRM in the public sector. It is the only textbook for the BCS Practitioner Certificate in Information Risk Management. |
| data risk management framework: Information Technology Outsourcing Suzanne Rivard, Benoit A. Aubert, 2015-03-26 This new volume in the Advances in Management Information Systems series presents the latest cutting-edge knowledge in IT outsourcing. As part of the growing business trend to outsourcing various operations, IT outsourcing both determines the governance of a vital organizational function and influences the processes of exploitation and exploration in all other functions of an enterprise. In keeping with the mission of the AMIS series, the editors of this volume have framed the domain of research and practice broadly. Information Technology Outsourcing provides leading edge research on both the variety of decisions regarding the outsourcing of IS services and the management of the relationship with service suppliers. |
| data risk management framework: Risk Management Handbook Federal Aviation Administration, 2012-07-03 Every day in the United States, over two million men, women, and children step onto an aircraft and place their lives in the hands of strangers. As anyone who has ever flown knows, modern flight offers unparalleled advantages in travel and freedom, but it also comes with grave responsibility and risk. For the first time in its history, the Federal Aviation Administration has put together a set of easy-to-understand guidelines and principles that will help pilots of any skill level minimize risk and maximize safety while in the air. The Risk Management Handbook offers full-color diagrams and illustrations to help students and pilots visualize the science of flight, while providing straightforward information on decision-making and the risk-management process. |
| data risk management framework: Data Governance John Ladley, 2019-11-08 Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. - Incorporates industry changes, lessons learned and new approaches - Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations - Includes new case studies which detail real-world situations - Explores all of the capabilities an organization must adopt to become data driven - Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional - Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities - Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy - Provides up to 75% brand-new content compared to the first edition |
| data risk management framework: How to Measure Anything in Cybersecurity Risk Douglas W. Hubbard, Richard Seiersen, 2016-07-25 A ground shaking exposé on the failure of popular cyber risk management methods How to Measure Anything in Cybersecurity Risk exposes the shortcomings of current risk management practices, and offers a series of improvement techniques that help you fill the holes and ramp up security. In his bestselling book How to Measure Anything, author Douglas W. Hubbard opened the business world's eyes to the critical need for better measurement. This book expands upon that premise and draws from The Failure of Risk Management to sound the alarm in the cybersecurity realm. Some of the field's premier risk management approaches actually create more risk than they mitigate, and questionable methods have been duplicated across industries and embedded in the products accepted as gospel. This book sheds light on these blatant risks, and provides alternate techniques that can help improve your current situation. You'll also learn which approaches are too risky to save, and are actually more damaging than a total lack of any security. Dangerous risk management methods abound; there is no industry more critically in need of solutions than cybersecurity. This book provides solutions where they exist, and advises when to change tracks entirely. Discover the shortcomings of cybersecurity's best practices Learn which risk management approaches actually create risk Improve your current practices with practical alterations Learn which methods are beyond saving, and worse than doing nothing Insightful and enlightening, this book will inspire a closer examination of your company's own risk management practices in the context of cybersecurity. The end goal is airtight data protection, so finding cracks in the vault is a positive thing—as long as you get there before the bad guys do. How to Measure Anything in Cybersecurity Risk is your guide to more robust protection through better quantitative processes, approaches, and techniques. |
| data risk management framework: Cybersecurity For Beginners John Knowles, 2020-09-26 Handling risk is one of the chief goals of organizations, mainly in the InfoSec program. Risk management delivers the vehicle for the balance between compliance and security. Businesses need to defend their data by launching and upholding an operational risk management platform. Organizations must considered their environment, resources, threats, and sensitivity of their data. In this book, you will learn the fundamentals of risk management with security, and how to deploy the RMF to efficiently deal with compliance and risk within your business.CLICK BUY NOW TO GET STARTED TODAY!You will learn: -Compliance, Security, Risk-How to be Compliant and Secure-Introduction to Risk Management Framework-Introduction to the NIST Special Publications-Introduction to the RMF Publications-Understanding the Cybersecurity Framework-Comprehending the CSF Construction-Comprehending the CSF Tiers and Profiles-Essential RMF Concepts-Understanding Risk Tiers-Understanding Systems and Authorization-Introduction to Roles and Responsibilities-Comprehending Security and Privacy in the RMF-How to prepare for RMF-How to prepare for Organization-level Tasks-How to prepare for System-level Tasks-How to Categorize Information Systems-Comprehending RMF Categorization Tasks-Understanding Categorizing Systems-How to Select Security Controls-How to Select Controls and Baselines-How to Implement Security Controls-How to Implement Controls-How to Assess Security Controls-Understanding RMF Assess Tasks-How to Assess Systems-How to Authorize Information Systems-How to Monitor Security Controls-How to Monitor Tasks-How to Monitor SystemsCLICK BUY NOW TO GET STARTED TODAY! |
| data risk management framework: Privacy Program Management, Third Edition Russell Densmore, 2021-12 |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open …
Belmont Forum Adopts Open Data Principles for Environme…
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data …
Belmont Forum Data Accessibility Statement an…
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with minimum time …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, released in …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process from …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical barriers …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be collected, …
