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| data security lifecycle management: Data Protection and Information Lifecycle Management Thomas D. Petrocelli, 2006 This book introduces Information Lifecycle Management (ILM), a powerful new strategy for managing enterprise information based on its value over time. The author explains emerging techniques for protecting storage systems and storage networks, and for integrating storage security into your overall security plan. He also presents new technical advances and opportunities to improve existing data-protection processes, including backup/restore, replication, and remote copy. |
| data security lifecycle management: Data Governance: The Definitive Guide Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown, 2021-03-08 As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness. |
| data security lifecycle management: The Security Development Lifecycle Michael Howard, Steve Lipner, 2006 Your customers demand and deserve better security and privacy in their software. This book is the first to detail a rigorous, proven methodology that measurably minimizes security bugs--the Security Development Lifecycle (SDL). In this long-awaited book, security experts Michael Howard and Steve Lipner from the Microsoft Security Engineering Team guide you through each stage of the SDL--from education and design to testing and post-release. You get their first-hand insights, best practices, a practical history of the SDL, and lessons to help you implement the SDL in any development organization. Discover how to: Use a streamlined risk-analysis process to find security design issues before code is committed Apply secure-coding best practices and a proven testing process Conduct a final security review before a product ships Arm customers with prescriptive guidance to configure and deploy your product more securely Establish a plan to respond to new security vulnerabilities Integrate security discipline into agile methods and processes, such as Extreme Programming and Scrum Includes a CD featuring: A six-part security class video conducted by the authors and other Microsoft security experts Sample SDL documents and fuzz testing tool PLUS--Get book updates on the Web. For customers who purchase an ebook version of this title, instructions for downloading the CD files can be found in the ebook. |
| data security lifecycle management: Cloud Security and Privacy Tim Mather, Subra Kumaraswamy, Shahed Latif, 2009-09-04 You may regard cloud computing as an ideal way for your company to control IT costs, but do you know how private and secure this service really is? Not many people do. With Cloud Security and Privacy, you'll learn what's at stake when you trust your data to the cloud, and what you can do to keep your virtual infrastructure and web applications secure. Ideal for IT staffers, information security and privacy practitioners, business managers, service providers, and investors alike, this book offers you sound advice from three well-known authorities in the tech security world. You'll learn detailed information on cloud computing security that-until now-has been sorely lacking. Review the current state of data security and storage in the cloud, including confidentiality, integrity, and availability Learn about the identity and access management (IAM) practice for authentication, authorization, and auditing of the users accessing cloud services Discover which security management frameworks and standards are relevant for the cloud Understand the privacy aspects you need to consider in the cloud, including how they compare with traditional computing models Learn the importance of audit and compliance functions within the cloud, and the various standards and frameworks to consider Examine security delivered as a service-a different facet of cloud security |
| data security lifecycle management: DAMA-DMBOK Dama International, 2017 Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment. |
| data security lifecycle management: SAP Information Lifecycle Management Iwona Luther, Nicole Fernandes, 2020-08-27 Master SAP ILM, from retention management to lifecycle management for custom code. Follow step-by-step instructions and walk through all major functionality including policy creation, legal case management, data archiving, and more. Whether you're on SAP S/4HANA, SAP S/4HANA Cloud, or SAP ERP, you'll find the details you need to configure and use SAP ILM. Control and protect your data! Highlights include: 1) Retention management 2) GDPR 3) Data security 4) Blocking data 5) Data deletion 6) Archiving data 7) Legal case management 8) Data controller rule framework 9) Custom code data lifecycle 10) SAP S/4HANA 11) SAP S/4HANA Cloud 12) SAP ERP HCM |
| data security lifecycle management: Security Risk Management Evan Wheeler, 2011-04-20 Security Risk Management is the definitive guide for building or running an information security risk management program. This book teaches practical techniques that will be used on a daily basis, while also explaining the fundamentals so students understand the rationale behind these practices. It explains how to perform risk assessments for new IT projects, how to efficiently manage daily risk activities, and how to qualify the current risk level for presentation to executive level management. While other books focus entirely on risk analysis methods, this is the first comprehensive text for managing security risks. This book will help you to break free from the so-called best practices argument by articulating risk exposures in business terms. It includes case studies to provide hands-on experience using risk assessment tools to calculate the costs and benefits of any security investment. It explores each phase of the risk management lifecycle, focusing on policies and assessment processes that should be used to properly assess and mitigate risk. It also presents a roadmap for designing and implementing a security risk management program. This book will be a valuable resource for CISOs, security managers, IT managers, security consultants, IT auditors, security analysts, and students enrolled in information security/assurance college programs. - Named a 2011 Best Governance and ISMS Book by InfoSec Reviews - Includes case studies to provide hands-on experience using risk assessment tools to calculate the costs and benefits of any security investment - Explores each phase of the risk management lifecycle, focusing on policies and assessment processes that should be used to properly assess and mitigate risk - Presents a roadmap for designing and implementing a security risk management program |
| data security lifecycle management: Financial Cryptography and Data Security Radu Sion, 2010-07-15 This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Financial Cryptography and Data Security, FC 2010, held in Tenerife, Canary Islands, Spain in January 2010. The 19 revised full papers and 15 revised short papers presented together with 1 panel report and 7 poster papers were carefully reviewed and selected from 130 submissions. The papers cover all aspects of securing transactions and systems and feature current research focusing on both fundamental and applied real-world deployments on all aspects surrounding commerce security. |
| data security lifecycle management: Product Lifecycle Management Antti Saaksvuori, Anselmi Immonen, 2008-04-25 Product Lifecycle Management (PLM) is an essential means to cope with the challenges of global competition. This is the first English-language book on PLM that introduces the reader to the basic terms and fundamentals of PLM. The text provides a solid foundation for starting a PLM development project. It gives ideas and examples of how PLM can be utilized. In addition, it offers insight into how PLM can assist in creating opportunities and in making real eBusiness possible. |
| data security lifecycle management: Computers at Risk National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Commission on Physical Sciences, Mathematics, and Applications, System Security Study Committee, 1990-02-01 Computers at Risk presents a comprehensive agenda for developing nationwide policies and practices for computer security. Specific recommendations are provided for industry and for government agencies engaged in computer security activities. The volume also outlines problems and opportunities in computer security research, recommends ways to improve the research infrastructure, and suggests topics for investigators. The book explores the diversity of the field, the need to engineer countermeasures based on speculation of what experts think computer attackers may do next, why the technology community has failed to respond to the need for enhanced security systems, how innovators could be encouraged to bring more options to the marketplace, and balancing the importance of security against the right of privacy. |
| data security lifecycle management: IBM Spectrum Scale Security Felipe Knop, Sandeep R. Patil, Alifiya Kantawala, Larry Coyne, IBM Redbooks, 2018-09-18 Storage systems must provide reliable and convenient data access to all authorized users while simultaneously preventing threats coming from outside or even inside the enterprise. Security threats come in many forms, from unauthorized access to data, data tampering, denial of service, and obtaining privileged access to systems. According to the Storage Network Industry Association (SNIA), data security in the context of storage systems is responsible for safeguarding the data against theft, prevention of unauthorized disclosure of data, prevention of data tampering, and accidental corruption. This process ensures accountability, authenticity, business continuity, and regulatory compliance. Security for storage systems can be classified as follows: Data storage (data at rest, which includes data durability and immutability) Access to data Movement of data (data in flight) Management of data IBM® Spectrum Scale is a software-defined storage system for high performance, large-scale workloads on-premises or in the cloud. IBM SpectrumTM Scale addresses all four aspects of security by securing data at rest (protecting data at rest with snapshots, and backups and immutability features) and securing data in flight (providing secure management of data, and secure access to data by using authentication and authorization across multiple supported access protocols). These protocols include POSIX, NFS, SMB, Hadoop, and Object (REST). For automated data management, it is equipped with powerful information lifecycle management (ILM) tools that can help administer unstructured data by providing the correct security for the correct data. This IBM RedpaperTM publication details the various aspects of security in IBM Spectrum ScaleTM, including the following items: Security of data in transit Security of data at rest Authentication Authorization Hadoop security Immutability Secure administration Audit logging Security for transparent cloud tiering (TCT) Security for OpenStack drivers Unless stated otherwise, the functions that are mentioned in this paper are available in IBM Spectrum Scale V4.2.1 or later releases. |
| data security lifecycle management: Product Lifecycle Management Antti Saaksvuori, Anselmi Immonen, 2005-12-06 In today`s industrial manufacturing Product Lifecycle Management (PLM) is essential in order to cope with the challenges of more demanding global competition. New and more complex products must be introduced to markets faster than ever before. Companies form large collaborative networks, and the product process must flow flexibly across company borders. This first book on Product Lifecycle Management in English language is designed to introduce the reader to the basic terms and fundamentals of PLM and to give a solid foundation for starting a PLM development project. It gives ideas and examples how PLM can be utilized in various industries. In addition, it also offers an insight into how PLM can assist in creating new business opportunities and in making real eBusiness possible. |
| data security lifecycle management: Core Software Security James Ransome, Anmol Misra, 2018-10-03 ... an engaging book that will empower readers in both large and small software development and engineering organizations to build security into their products. ... Readers are armed with firm solutions for the fight against cyber threats.—Dr. Dena Haritos Tsamitis. Carnegie Mellon University... a must read for security specialists, software developers and software engineers. ... should be part of every security professional’s library. —Dr. Larry Ponemon, Ponemon Institute... the definitive how-to guide for software security professionals. Dr. Ransome, Anmol Misra, and Brook Schoenfield deftly outline the procedures and policies needed to integrate real security into the software development process. ...A must-have for anyone on the front lines of the Cyber War ... —Cedric Leighton, Colonel, USAF (Ret.), Cedric Leighton AssociatesDr. Ransome, Anmol Misra, and Brook Schoenfield give you a magic formula in this book - the methodology and process to build security into the entire software development life cycle so that the software is secured at the source! —Eric S. Yuan, Zoom Video CommunicationsThere is much publicity regarding network security, but the real cyber Achilles’ heel is insecure software. Millions of software vulnerabilities create a cyber house of cards, in which we conduct our digital lives. In response, security people build ever more elaborate cyber fortresses to protect this vulnerable software. Despite their efforts, cyber fortifications consistently fail to protect our digital treasures. Why? The security industry has failed to engage fully with the creative, innovative people who write software. Core Software Security expounds developer-centric software security, a holistic process to engage creativity for security. As long as software is developed by humans, it requires the human element to fix it. Developer-centric security is not only feasible but also cost effective and operationally relevant. The methodology builds security into software development, which lies at the heart of our cyber infrastructure. Whatever development method is employed, software must be secured at the source. Book Highlights: Supplies a practitioner's view of the SDL Considers Agile as a security enabler Covers the privacy elements in an SDL Outlines a holistic business-savvy SDL framework that includes people, process, and technology Highlights the key success factors, deliverables, and metrics for each phase of the SDL Examines cost efficiencies, optimized performance, and organizational structure of a developer-centric software security program and PSIRT Includes a chapter by noted security architect Brook Schoenfield who shares his insights and experiences in applying the book’s SDL framework View the authors' website at http://www.androidinsecurity.com/ |
| data security lifecycle management: The PAYTECH Book Susanne Chishti, Tony Craddock, Robert Courtneidge, Markos Zachariadis, 2020-02-18 The only globally-crowdsourced book on the future of payments (“PayTech”), offering comprehensive understanding of a rapidly evolving industry at the centre of global commerce The movement of money between individuals, organisations and governments is crucial to the world economy. The payments industry has undergone immense transformation – new regulations, technologies and consumer demands have prompted significant changes to the tools, products and use cases in payments, as well as presented lucrative opportunities for entrepreneurs and FinTech professionals. As payment technologies become faster and more efficient, companies and investors are increasingly favouring PayTech innovation due to better customer experience, increased revenues and manageable risks. The PAYTECH Book brings together a diverse collection of industry experts to provide entrepreneurs, financial services professionals and investors with the answers they need to capitalise on the highly profitable PayTech market. Written by leaders in the global FinTech and payment sectors, this informative volume explains key industry developments and presents valuable first-hand insights from prominent industry practitioners. Contributors include advisors and consultants to the payments and financial services industry, entrepreneurs and business owners utilising cutting-edge PayTech capabilities, academic researchers exploring the social-political-economic impact of PayTech and many others. Detailed chapters cover essential topics such as cybersecurity, regulation and compliance, wholesale payments and how payment systems currently work and how PayTech can improve them. This book: Defines PayTech and identifies its key players Discusses how PayTech can transform developed markets and accelerate growth in emerging economies Describes how PayTech fits into the larger FinTech ecosystem Explores the future of PayTech and its potential as an agent of social change and financial inclusion Provides diverse perspectives on investment in PayTech and what consolidation and expansion will look like The PAYTECH Book: The Payment Technology Handbook for Investors, Entrepreneurs and FinTech Visionaries is an indispensable source of information for FinTech investors and entrepreneurs, managers from payments companies and financial services firms and executives responsible for payments in government, corporations, public sector organisations, retailers and users of payments. |
| data security lifecycle management: Guidebook for Managing Data from Emerging Technologies for Transportation Kelley Klaver Pecheux, Benjamin B. Pecheux, Gene Ledbetter, Chris Lambert (Systems consultant), 2020 With increased connectivity between vehicles, sensors, systems, shared-use transportation, and mobile devices, unexpected and unparalleled amounts of data are being added to the transportation domain at a rapid rate, and these data are too large, too varied in nature, and will change too quickly to be handled by the traditional database management systems of most transportation agencies. The TRB National Cooperative Highway Research Program's NCHRP Research Report 952: Guidebook for Managing Data from Emerging Technologies for Transportation provides guidance, tools, and a big data management framework, and it lays out a roadmap for transportation agencies on how they can begin to shift - technically, institutionally, and culturally - toward effectively managing data from emerging technologies. Modern, flexible, and scalable big data methods to manage these data need to be adopted by transportation agencies if the data are to be used to facilitate better decision-making. As many agencies are already forced to do more with less while meeting higher public expectations, continuing with traditional data management systems and practices will prove costly for agencies unable to shift. |
| data security lifecycle management: Data Protection and Privacy: Key Concepts , 2024-10-26 Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| data security lifecycle management: Building an Intelligence-Led Security Program Allan Liska, 2014-12-08 As recently as five years ago, securing a network meant putting in a firewall, intrusion detection system, and installing antivirus software on the desktop. Unfortunately, attackers have grown more nimble and effective, meaning that traditional security programs are no longer effective. Today's effective cyber security programs take these best practices and overlay them with intelligence. Adding cyber threat intelligence can help security teams uncover events not detected by traditional security platforms and correlate seemingly disparate events across the network. Properly-implemented intelligence also makes the life of the security practitioner easier by helping him more effectively prioritize and respond to security incidents. The problem with current efforts is that many security practitioners don't know how to properly implement an intelligence-led program, or are afraid that it is out of their budget. Building an Intelligence-Led Security Program is the first book to show how to implement an intelligence-led program in your enterprise on any budget. It will show you how to implement a security information a security information and event management system, collect and analyze logs, and how to practice real cyber threat intelligence. You'll learn how to understand your network in-depth so that you can protect it in the best possible way. - Provides a roadmap and direction on how to build an intelligence-led information security program to protect your company. - Learn how to understand your network through logs and client monitoring, so you can effectively evaluate threat intelligence. - Learn how to use popular tools such as BIND, SNORT, squid, STIX, TAXII, CyBox, and splunk to conduct network intelligence. |
| data security lifecycle management: Developing Cybersecurity Programs and Policies Omar Santos, 2018-07-20 All the Knowledge You Need to Build Cybersecurity Programs and Policies That Work Clearly presents best practices, governance frameworks, and key standards Includes focused coverage of healthcare, finance, and PCI DSS compliance An essential and invaluable guide for leaders, managers, and technical professionals Today, cyberattacks can place entire organizations at risk. Cybersecurity can no longer be delegated to specialists: success requires everyone to work together, from leaders on down. Developing Cybersecurity Programs and Policies offers start-to-finish guidance for establishing effective cybersecurity in any organization. Drawing on more than 20 years of real-world experience, Omar Santos presents realistic best practices for defining policy and governance, ensuring compliance, and collaborating to harden the entire organization. First, Santos shows how to develop workable cybersecurity policies and an effective framework for governing them. Next, he addresses risk management, asset management, and data loss prevention, showing how to align functions from HR to physical security. You’ll discover best practices for securing communications, operations, and access; acquiring, developing, and maintaining technology; and responding to incidents. Santos concludes with detailed coverage of compliance in finance and healthcare, the crucial Payment Card Industry Data Security Standard (PCI DSS) standard, and the NIST Cybersecurity Framework. Whatever your current responsibilities, this guide will help you plan, manage, and lead cybersecurity–and safeguard all the assets that matter. Learn How To · Establish cybersecurity policies and governance that serve your organization’s needs · Integrate cybersecurity program components into a coherent framework for action · Assess, prioritize, and manage security risk throughout the organization · Manage assets and prevent data loss · Work with HR to address human factors in cybersecurity · Harden your facilities and physical environment · Design effective policies for securing communications, operations, and access · Strengthen security throughout the information systems lifecycle · Plan for quick, effective incident response and ensure business continuity · Comply with rigorous regulations in finance and healthcare · Plan for PCI compliance to safely process payments · Explore and apply the guidance provided by the NIST Cybersecurity Framework |
| data security lifecycle management: Privacy & Data Protection Essentials Courseware - English Ruben Zeegers, Theo Wanders, 2019-05-15 Besides the Privacy & Data Protection Essentials Courseware - English (ISBN: 978 940 180 457 8) publication you are advised to obtain the publication EU GDPR, A pocket guide (ISBN: 978 178 778 064 4). Privacy & Data Protection Essentials (PDPE) covers essential subjects related to the protection of personal data. Candidates benefit from a certification that is designed to impart all the required knowledge to help ensure compliancy to the General Data Protection Regulation (GDPR). This regulation affects every organization that processes European Union personal data. Wherever personal data is collected, stored, used, and finally deleted or destroyed, privacy concerns arise. With the European Union GDPR the Council of the European Union attempts to strengthen and unify data protection for all individuals within the European Union. Within the European Union regulations and standards regarding the protection of data are stringent. The GDPR came into effect in May 2016 and organizations had until May 2018 to change their policies and processes to ensure that they fully comply with the GDPR. Companies outside Europe also need to comply the GDPR when doing business in Europe. One of the solutions to comply on the GDPR is to train and qualify staff. Certified professionals with the right level of knowledge will help your organization to comply the GDPR. The EXIN Privacy & Data Protection program covers the required knowledge of legislation and regulations relating to data protection and how this knowledge should be used to be compliant. The EXIN Privacy & Data Protection Essentials is part of the EXIN qualification program Privacy and Data Protection. |
| data security lifecycle management: Secure Data Management Willem Jonker, Milan Petković, 2014-05-14 This book constitutes the refereed proceedings of the 10th VLDB Workshop on Secure Data Management held in Trento, Italy, on August 30, 2013. The 15 revised full papers and one keynote paper presented were carefully reviewed and selected from various submissions. The papers are organized in technical papers and 10 vision papers which address key challenges in secure data management and indicate interesting research questions. |
| data security lifecycle management: Official (ISC)2 Guide to the CISSP-ISSMP CBK Joseph Steinberg, 2015-05-21 The Certified Information Systems Security Professional-Information Systems Security Management Professional (CISSP-ISSMP) certification was developed for CISSPs who are seeking to further their careers and validate their expertise in information systems security management. Candidates for the ISSMP need to demonstrate a thorough understanding of the five domains of the ISSMP Common Body of Knowledge (CBK®), along with the ability to apply this in-depth knowledge to establish, present, and govern information security programs, while demonstrating management and leadership skills. Supplying an authoritative review of key concepts and requirements, the Official (ISC)2® Guide to the CISSP®-ISSMP® CBK®, Second Edition is both up to date and relevant. This book provides a comprehensive review of the five domains in the ISSMP CBK: Security Leadership and Management, Security Lifecycle Management, Security Compliance Management, Contingency Management, and Law, Ethics, and Incident Management. Numerous illustrated examples and practical exercises are included in this book to demonstrate concepts and real-life scenarios. Endorsed by (ISC)2 and compiled and reviewed by ISSMPs and industry luminaries around the world, this book provides unrivaled preparation for the exam. Earning your ISSMP is a deserving achievement that should ultimately help to enhance your career path and give you a competitive advantage. |
| data security lifecycle management: Big Data Security Shibakali Gupta, Indradip Banerjee, Siddhartha Bhattacharyya, 2019-10-08 After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology. |
| data security lifecycle management: Privacy and Data Protection based on the GDPR Leo Besemer, 2020-09-15 Information about people is becoming increasingly valuable. Enabled by new technologies, organizations collect and process personal data on a large scale. Free flow of data across Europe is vital for the common market, but it also presents a clear risk to the fundamental rights of individuals. This issue was addressed by the Council of the European Union and the European Parliament with the introduction of the General Data Protection Regulation (GDPR). For many organizations processing personal data, the GDPR came as a shock. Not so much its publication in the spring of 2016, but rather the articles that appeared about it in professional journals and newspapers leading to protests and unrest. “The heavy requirements of the law would cause very expensive measures in companies and organizations”, was a concern. In addition, companies which failed to comply “would face draconian fines”. This book is intended to explain where these requirements came from and to prove that the GDPR is not incomprehensible, that the principles are indeed remarkably easy to understand. It will help anyone in charge of, or involved in, the processing of personal data to take advantage of the innovative technologies in processing without being unduly hindered by the limitations of the GDPR. The many examples and references to EDPB (European Data Protection Board) publications, recent news articles and case law clarify the requirements of the law and make them accessible and understandable. “Leo’s book can provide very effective support to you and your colleagues in reaching this understanding and applying it in practice.” Fintan Swanton, Managing Director of Cygnus Consulting Ltd., Ireland. |
| data security lifecycle management: The Official (ISC)2 Guide to the CCSP CBK Adam Gordon, 2015-11-06 Globally recognized and backed by the Cloud Security Alliance (CSA) and the (ISC)2 the CCSP credential is the ideal way to match marketability and credibility to your cloud security skill set. The Official (ISC)2® Guide to the CCSPSM CBK® is your ticket for expert insight through the 6 CCSP domains. You will find step-by-step guidance through real-life scenarios, illustrated examples, tables, best practices, and more. Sample questions help you reinforce what you have learned and prepare smarter. Easy-to-follow content guides you through • Major topics and subtopics within the 6 domains • Detailed description of exam format • Exam registration and administration policies Reviewed by cloud security experts, and developed by (ISC)2, this is your study guide to fully preparing for the CCSP and reaffirming your unique cloud security skills. Get ready for the next step in your career with Official (ISC)2 Guide to the CCSP CBK. |
| data security lifecycle management: CCSP For Dummies with Online Practice Arthur J. Deane, 2020-08-26 Secure your CSSP certification CCSP is the world’s leading Cloud Security certification. It covers the advanced technical skills and knowledge to design, manage, and secure data, applications, and infrastructure in the cloud using best practices, policies, and procedures. If you’re a cloud security professional seeking your CSSP certification, this book is a perfect way to prepare for the exam. Covering in detail all six domains, the expert advice in this book gives you key information you'll need to pass the exam. In addition to the information covered on the exam, you'll get tips on setting up a study plan, tips for exam day, and access to an online test bank of questions. Key information for all six exam domains Test -taking and exam day tips and tricks Free online practice questions and flashcards Coverage of the core concepts From getting familiar with the core concepts to establishing a study plan, this book is all you need to hang your hat on that certification! |
| data security lifecycle management: Cyber Security Engineering Nancy R. Mead, Carol Woody, 2016-11-07 Cyber Security Engineering is the definitive modern reference and tutorial on the full range of capabilities associated with modern cyber security engineering. Pioneering software assurance experts Dr. Nancy R. Mead and Dr. Carol C. Woody bring together comprehensive best practices for building software systems that exhibit superior operational security, and for considering security throughout your full system development and acquisition lifecycles. Drawing on their pioneering work at the Software Engineering Institute (SEI) and Carnegie Mellon University, Mead and Woody introduce seven core principles of software assurance, and show how to apply them coherently and systematically. Using these principles, they help you prioritize the wide range of possible security actions available to you, and justify the required investments. Cyber Security Engineering guides you through risk analysis, planning to manage secure software development, building organizational models, identifying required and missing competencies, and defining and structuring metrics. Mead and Woody address important topics, including the use of standards, engineering security requirements for acquiring COTS software, applying DevOps, analyzing malware to anticipate future vulnerabilities, and planning ongoing improvements. This book will be valuable to wide audiences of practitioners and managers with responsibility for systems, software, or quality engineering, reliability, security, acquisition, or operations. Whatever your role, it can help you reduce operational problems, eliminate excessive patching, and deliver software that is more resilient and secure. |
| data security lifecycle management: Privacy-Preserving Data Publishing Bee-Chung Chen, Daniel Kifer, Ashwin Machanavajjhala, Kristen LeFevre, 2009-10-14 This book is dedicated to those who have something to hide. It is a book about privacy preserving data publishing -- the art of publishing sensitive personal data, collected from a group of individuals, in a form that does not violate their privacy. This problem has numerous and diverse areas of application, including releasing Census data, search logs, medical records, and interactions on a social network. The purpose of this book is to provide a detailed overview of the current state of the art as well as open challenges, focusing particular attention on four key themes: RIGOROUS PRIVACY POLICIES Repeated and highly-publicized attacks on published data have demonstrated that simplistic approaches to data publishing do not work. Significant recent advances have exposed the shortcomings of naive (and not-so-naive) techniques. They have also led to the development of mathematically rigorous definitions of privacy that publishing techniques must satisfy; METRICS FOR DATA UTILITY While it is necessary to enforce stringent privacy policies, it is equally important to ensure that the published version of the data is useful for its intended purpose. The authors provide an overview of diverse approaches to measuring data utility; ENFORCEMENT MECHANISMS This book describes in detail various key data publishing mechanisms that guarantee privacy and utility; EMERGING APPLICATIONS The problem of privacy-preserving data publishing arises in diverse application domains with unique privacy and utility requirements. The authors elaborate on the merits and limitations of existing solutions, based on which we expect to see many advances in years to come. |
| data security lifecycle management: Cloud Security: Design, Control, Patterns and Managements Dr.B.Sugumar, Dr.S.Rasheed Mansoor Ali, Dr.R.Rajesh, Mrs.V.Suganthi, Dr.G.Dona Rashmi, 2024-03-30 Dr.B.Sugumar, Assistant Professor, Department of Computer Science , Sourashtra College, Madurai, Tamil Nadu, India. Dr.S.Rasheed Mansoor Ali, Assistant Professor, Department of Computer Applications, Jamal Mohamed College (Autonomous), Tiruchirappalli, Tamil Nadu, India. Dr.R.Rajesh, Assistant Professor, Head & IIC President, PG and Research Department of Computer Science and Department of CA & IT, Kaamadhenu Arts and Science College, Sathyamangalam, Erode, Tamil Nadu, India. Mrs.V.Suganthi, Assistant Professor, Research Scholar, Department of Computer Science, C.T.T.E College for Women, University of Madras, Chennai, Tamil Nadu, India. Dr.G.Dona Rashmi, Assistant Professor, Department of Computer Applications, Kongunadu Arts and Science College, Coimbatore, Tamil Nadu, India. |
| data security lifecycle management: Product Lifecycle Management John Stark, 2011-08-12 Product Lifecycle Management (2nd edition) explains what Product Lifecycle Management (PLM) is, and why it's needed. It describes the environment in which products are developed, realised and supported, before looking at the basic components of PLM, such as the product, processes, applications, and people. The final part addresses the implementation of PLM, showing the steps of a project or initiative, and typical activities. This new and expanded edition of Product Lifecycle Management is fully updated to reflect the many advances made in PLM since the release of the first edition. It includes descriptions of PLM technologies and examples of implementation projects in industry. Product Lifecycle Management will broaden the reader’s understanding of PLM, nurturing the skills needed to implement PLM successfully and to achieve world-class product performance across the lifecycle. “A 20-year veteran of PLM, I highly recommend this book. A clear and complete overview of PLM from definition to implementation. Everything is there - reasons, resources, strategy, implementation and PLM project management.” Achim Heilmann, Manager, Global Technical Publications, Varian Medical Systems “Product Lifecycle Management is an important technology for European industry. This state-of-the art book is a reference for those implementing and researching PLM.” Dr. Erastos Filos, Head of Sector Intelligent Manufacturing Systems, European Commission “This book, written by one of the best experts in this field, is an ideal complement for PLM courses at Bachelor and Master level, as well as a well-founded reference book for practitioners.” Prof. Dr.-Ing. Dr. h.c. Sandor Vajna, University of Magdeburg, Germany “This comprehensive book can help drive an understanding of PLM at all levels – from CEOs to CIOs, and from professors to students – that will help this important industry continue to expand and thrive.” James Heppelmann, President and Chief Executive Officer, PTC “PLM is a mission-critical decision-making system leveraged by the world’s most innovative companies to transform their process of innovation on a continuous basis. That is a powerful value proposition in a world where the challenge is to get better products to the market faster than ever before. That is the power of PLM.” Tony Affuso, Chairman and CEO, Siemens PLM Software |
| data security lifecycle management: Enterprise Information Management in Practice Saumya Chaki, 2015-12-19 Learn how to form and execute an enterprise information strategy: topics include data governance strategy, data architecture strategy, information security strategy, big data strategy, and cloud strategy. Manage information like a pro, to achieve much better financial results for the enterprise, more efficient processes, and multiple advantages over competitors. As you’ll discover in Enterprise Information Management in Practice, EIM deals with both structured data (e.g. sales data and customer data) as well as unstructured data (like customer satisfaction forms, emails, documents, social network sentiments, and so forth). With the deluge of information that enterprises face given their global operations and complex business models, as well as the advent of big data technology, it is not surprising that making sense of the large piles of data is of paramount importance. Enterprises must therefore put much greater emphasis on managing and monetizing both structured and unstructured data. As Saumya Chaki—an information management expert and consultant with IBM—explains in Enterprise Information Management in Practice, it is now more important than ever before to have an enterprise information strategy that covers the entire life cycle of information and its consumption while providing security controls. With Fortune 100 consultant Saumya Chaki as your guide, Enterprise Information Management in Practice covers each of these and the other pillars of EIM in depth, which provide readers with a comprehensive view of the building blocks for EIM. Enterprises today deal with complex business environments where information demands take place in real time, are complex, and often serve as the differentiator among competitors. The effective management of information is thus crucial in managing enterprises. EIM has evolved as a specialized discipline in the business intelligence and enterprise data warehousing space to address the complex needs of information processing and delivery—and to ensure the enterprise is making the most of its information assets. |
| data security lifecycle management: 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 security lifecycle management: Information Security Management Handbook Harold F. Tipton, Micki Krause, 2007-05-14 Considered the gold-standard reference on information security, the Information Security Management Handbook provides an authoritative compilation of the fundamental knowledge, skills, techniques, and tools required of today's IT security professional. Now in its sixth edition, this 3200 page, 4 volume stand-alone reference is organized under the C |
| data security lifecycle management: Product Lifecycle Management John Stark, 2006-03-30 Product Lifecycle Management (PLM), a new paradigm for product manufacturing, enables a company to manage its products all the way across their lifecycles in the most effective way. It helps companies get products to market faster, provide better support for their use, and manage end-of-life better. In today’s highly competitive global markets, companies must meet the increasing demands of customers to rapidly and continually improve their products and services. PLM meets these needs, extending and bringing together previously separate fields such as Computer Aided Design, Product Data Management, Sustainable Development, Enterprise Resource Planning, Life Cycle Analysis and Recycling. Product Lifecycle Management: 21st century Paradigm for Product Realisation explains the importance of PLM, from both the business and technical viewpoints, supported by examples showing how world-class engineering and manufacturing companies are implementing PLM successfully. The book: - introduces PLM, a unique holistic view of product development, support, use and disposal for industry worldwide, based on experience with internationally renowned companies; - shows you how to take full advantage of PLM, how to prepare people to work in the PLM environment, how to choose the best solution for your situation; - provides deep understanding, nurturing the skills you will need to successfully implement PLM and achieve world-class product development and support performance; and - gives access to a companion www site containing further material. |
| data security lifecycle management: The Operational Audit Blueprint - Definitions, Internal Audit Programs and Checklists for Success SALIH AHMED ISLAM, 2023-04-09 The Operational Audit Blueprint: Definitions, Internal Audit Programs, and Checklists for Success is an indispensable guide for anyone seeking to improve their organisation's operational processes through operational auditing. This book provides a comprehensive overview of operational auditing, including the tools and techniques used by internal auditors to evaluate operational processes. It also emphasises the importance of audit programs and checklists in achieving success. Contents of the book: FINANCE • Financial reporting • Investments • Accounts payable and receivable • Budgeting & Monitoring • Fixed assets • Tax compliance HR · Human resources · Payroll · Payroll cycle data analytics MANUFACTURING · Planning and production control · Quality control · Maintenance · Safety · ESG SUPPLY CHAIN · Demand Planning · Purchasing · Tendering · Import · Inventory · Third-Party Labour Contractor · Warehouse Management · Purchase-to-Pay Cycle Data Analytics SALES & MARKETING · Sales Management · Sales Performance And Monitoring · Product Development · Pricing And Discount · Promotion And Advertising · Marketing Campaigns · Credit Limits · Export · Order Processing · Customer Relationship Management · Retail · Customer Credit Data Analytics INFORMATION TECHNOLOGY · Business Continuity Management · Data Privacy · Database · It General Controls · It Security Management · It Backup & Recovery · It Vendor Management · It Access Controls · It Asset Management · It Change Management · It Data Management · It Help Desk GENERAL PROCESSES · Contract Management · Project Management · Ethics · Ethical Business Conduct Guidelines · Fraud Prevention Whether you're a business owner, manager, or internal auditor, The Operational Audit Blueprint: Definitions, Internal Audit Programs, and Checklists for Success is an essential resource for achieving operational and financial success through improved operational auditing. With this book, you will be able to identify and address potential issues before they become significant problems, ensuring that your organization's are operating at peak efficiency. |
| data security lifecycle management: Multi-Cloud Administration Guide Jeroen Mulder, 2023-08-08 A comprehensive guide to Multi-Cloud Administration for Cloud professionals KEY FEATURES ● Get familiar with the various components involved in establishing a multi-cloud architecture. ● Acquire the skills to effectively manage multi-cloud environments. ● Establish guardrails and guidelines to ensure interoperability and security across multiple cloud platforms. DESCRIPTION In today's landscape, organizations are embracing multi-cloud strategies to harness the advantages offered by multiple cloud providers. If you want to develop the necessary skills and expertise in managing multi-cloud environments, then this book is tailor-made for you. This is a comprehensive guide that equips you with the knowledge and skills needed to manage multiple cloud environments effectively. The book begins by exploring the Cloud Adoption Frameworks, providing a solid foundation for understanding multi-cloud strategies. It then covers topics such as virtualizing and managing connectivity, storage, and compute resources across different clouds. The book also discusses creating interoperability, managing data in a multi-cloud environment, and building and operating cloud-native applications. Lastly, it covers containerization, serverless computing, access management, security, and automating compliance. By the end of the book, you will be equipped with the necessary knowledge and skills to confidently navigate the complexities of multi-cloud administration. WHAT YOU WILL LEARN ● Gain expertise in efficiently managing applications, data, and environments within multi-cloud platforms. ● Familiarize yourself with the setup and management of cloud-native technologies. ● Learn how to implement robust security measures for cloud platforms. ● Understand the importance of maintaining compliance and adhering to regulatory standards. ● Develop strategies for achieving seamless interoperability in a multi-cloud environment. WHO THIS BOOK IS FOR This book is for cloud architects, system architects, solution architects, cloud admins and cloud professionals. Having a basic understanding of cloud technology and IT infrastructure would be an added advantage. TABLE OF CONTENTS 1. Using the Cloud Adoption Frameworks 2. Virtualizing and Managing Connectivity 3. Virtualizing and Managing Storage 4. Virtualizing and Managing Compute 5. Creating Interoperability 6. Managing Data in Multi-Cloud 7. Build and Operate Cloud Native 8. Building Agnostic with Containers 9. Building and Managing Serverless 10. Managing Access Management 11. Managing Security 12. Automating Compliancy |
| data security lifecycle management: Managing Information Security Risks Christopher J. Alberts, Audrey J. Dorofee, 2003 Describing OCTAVE (Operationally Critical Threat, Asset and Vulnerability Evaluation), a method of evaluating information security risk, this text should be of interest to risk managers. |
| data security lifecycle management: Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure Ibrahim Yitmen, 2023-07-17 This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing. |
| data security lifecycle management: Cloud Enterprise Architecture Pethuru Raj, 2012-10-24 Cloud Enterprise Architecture examines enterprise architecture (EA) in the context of the surging popularity of Cloud computing. It explains the different kinds of desired transformations the architectural blocks of EA undergo in light of this strategically significant convergence. Chapters cover each of the contributing architectures of EA-business, information, application, integration, security, and technology-illustrating the current and impending implications of the Cloud on each. Discussing the implications of the Cloud paradigm on EA, the book details the perceptible and positive changes that will affect EA design, governance, strategy, management, and sustenance. The author ties these topics together with chapters on Cloud integration and composition architecture. He also examines the Enterprise Cloud, Federated Clouds, and the vision to establish the InterCloud. Laying out a comprehensive strategy for planning and executing Cloud-inspired transformations, the book: Explains how the Cloud changes and affects enterprise architecture design, governance, strategy, management, and sustenance Presents helpful information on next-generation Cloud computing Describes additional architectural types such as enterprise-scale integration, security, management, and governance architectures This book is an ideal resource for enterprise architects, Cloud evangelists and enthusiasts, and Cloud application and service architects. Cloud center administrators, Cloud business executives, managers, and analysts will also find the book helpful and inspirational while formulating appropriate mechanisms and schemes for sound modernization and migration of traditional applications to Cloud infrastructures and platforms. |
| data security lifecycle management: Data Warehouse and Data Mining Dr. Jugnesh Kumar, 2024-01-25 Unveiling insights, unleashing potential: Navigating the depths of data warehousing and mining for a data-driven tomorrow KEY FEATURES ● Explore concepts ranging from fundamentals to advanced techniques of data warehouses and data mining. ● Translate business questions into actionable strategies to make informed decisions. ● Gain practical implementation guidance for hands-on learning. DESCRIPTION Data warehouse and data mining are essential technologies in the field of data analysis and business intelligence. Data warehouse provides a centralized repository of structured data and facilitates data storage and retrieval. Data mining, on the other hand, utilizes various algorithms and techniques to extract valuable patterns, trends, and insights from large datasets. The book explains the ins and outs of data warehousing by discussing its principles, benefits, and components, differentiating it from traditional databases. The readers will explore warehouse architecture, learn to navigate OLTP and OLAP systems, grasping the crux of the difference between ROLAP and MOLAP. The book is designed to help you discover data mining secrets with techniques like classification and clustering. You will be able to advance your skills by handling multimedia, time series, and text, staying ahead in the evolving data mining landscape. By the end of this book, you will be equipped with the skills and knowledge to confidently translate business questions into actionable strategies, extracting valuable insights for informed decisions. WHAT YOU WILL LEARN ● Designing and building efficient data warehouses. ● Handling diverse data types for comprehensive insights. ● Mastering various data mining techniques. ● Translating business questions into mining strategies. ● Techniques for pattern discovery and knowledge extraction. WHO THIS BOOK IS FOR From aspiring data analysts, data professionals, IT managers, to business intelligence practitioners, this book caters to a diverse audience. TABLE OF CONTENTS 1. Introduction to Data Warehousing 2. Data Warehouse Process and Architecture 3. Data Warehouse Implementation 4. Data Mining Definition and Task 5. Data Mining Query Languages 6. Data Mining Techniques 7. Mining Complex Data Objects |
| data security lifecycle management: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) Suhaiza Hanim Binti Dato Mohamad Zailani, Kosga Yagapparaj, Norhayati Zakuan, 2023-11-10 This is an open access book.Management science aims to study the dynamic study of human use of limited resources in management activities to achieve organizational goals: complex and innovative social behavior and its laws. And engineering management refers to the management of important and complex new products, equipment and devices in the process of development, manufacturing and production, and also includes the study and management of technological innovation, technological transformation, transformation, transformation, layout and strategy of industrial engineering technology development. The development or breakthrough of management theory is accompanied by the development and progress of science and technology, and the level of science and technology and the level of management theory in each historical period are mutually adaptive, and it can be said that the progress of science and technology plays an important role in promoting the development of management. At the same time, the rapid development and progress of science and technology give a strong injection to the development of engineering, and provide the possibility for engineering construction can use new technology, new equipment, new technology and new materials. Modern management is an important development direction of management science nowadays. And the use of modern management in engineering has an important role in saving social costs, ensuring project quality, and improving safety awareness and behavior. ICMSEM 2023 will focus on modern management, discuss about the benefits that modernization brings to engineering. ICMSEM 2023 aims to: Develop and advance management science through the study and application of certain issues. Open up new perspectives in the sharing of speakers and inspire the audience to new ways of managing in engineering. Create a forum for sharing, research and exchange at the international level, so that the participants can be informed of the latest research directions, results and contents of management science, which will inspire them to new ideas for research and practice. |
Federal Zero Trust Data Security Guide - cio.gov
Manage the Data:6 The goal of this chapter will be to ensure that data security practices are aligned with and embedded in data lifecycle management (DLM). It will discuss how readers …
DISA Data Governance Bylaws & Guidelines
Apr 30, 2025 · 2.1 Data Lifecycle Management Phase 1: Planning The purpose of the DISA system's Data Lifecycle Management Planning phase is to ensure that every aspect of data …
Data Management Life Cycle Final report - Texas A&M …
Researchers developed the data management life cycle to organize data, characterize its nature and value over time, and identify policy implications of cross-cutting data management issues.
Data Lifecycle and Analytics in the AWS Cloud - Amazon Web …
modernizing their approach to data lifecycle management, and leveraging the latest cloud-native analytics tools, organizations reduce costs and gain operational efficiencies, while enabling …
Principle Category Data Lifecycle Govern and Manage Data as …
Incorporate Data into Decision-Making: As part of budget, operational, policy, and management processes, identify opportunities to effectively and routinely use data for decision-making and …
Joint Cybersecurity Information
Securing data throughout the AI system lifecycle Data security is a critical enabler that spans all phases of the AI system lifecycle. ML models learn their decision logic from data, so an …
Intelligence Community Data Management
Establish data management roles and implement the IC's data management planning framework, including provisions to enable implementation of relevant data security and data protection …
Data security: Safeguarding High-quality Development of the …
Data security management is undergoing a shift from reactive legislation to proactive practice. Regulatory frameworks for personal information protection have become increasingly …
Data Classification and Practices - NIST
Data-centric security management necessarily depends on organizations knowing what data they have, what its characteristics are, and what security and privacy requirements it needs to meet …
The Three Pillars of Security Multi-Factor Authentication …
Confidentiality, integrity, and availability represent the three pillars of information security. They work together to create a foundational model that helps organizations protect people, data, and …
Voltage Fusion Data Security Platform Brochure - OpenText
Our platform helps you ensure that personal data is secure and handled ethically during use—even in data analytics contexts— safeguarding it from any potential harm. To protect …
Data Lifecycle Management Policy | Policies - Boston University
Boston University defines these phases as: Collecting, Storing, Accessing and Sharing, Transmitting, and Destroying. This policy defines or references the requirements for protecting …
Identity and Access Management Recommended Best …
The National Security Agency (NSA) and the Cybersecurity Infrastructure Security Agency (CISA) developed this document in furtherance of their respective cybersecurity missions, including …
2024 2025 2026 2027 2029 2030+ - IBM
data security frameworks, advanced data loss prevention solutions, and automated key and certificate lifecycle management will strengthen data protection in generative AI applications …
Data Lifecycle Management and Information Governance
This white paper reports some surprising findings about how organizations approach data lifecycle management, discusses its impact on information governance, and offers recommendations for …
Data Classification Practices: Facilitating Data-Centric Security ...
Standardized mechanisms for communicating data characteristics and protection requirements are needed to make data-centric security management feasible at scale. This project will …
Creating, Implementing and Managing the Information …
Security policy has become a generic term with different meanings for diverse audiences. This whitepaper describes how a standards-based approach helps define security policy as a …
Best Practices for Cryptographic Key Management - Thales …
Nov 21, 2019 · First, conduct a risk assessment of the organization in order to understand what types of data are present, where the data is stored, and the flows or patterns of the data.
Data security: Safeguarding High-quality Development of the …
Data security management is undergoing a gradual shift from legislation to practice. Currently, the regulatory framework for personal information protection has become increasingly …
12. Data Management
Data security and privacy management includes the policies, processes and procedures that are in place to ensure that data is kept safe and secure across all stages of the data lifecycle.
Best Practices for Managing Data Center Lifecycle Projects: …
By examining case studies, industry standards, and expert recommendations, this paper aims to provide a comprehensive understanding of how these best practices can be applied in real …
Federal Zero Trust Data Security Guide - cio.gov
Manage the Data:6 The goal of this chapter will be to ensure that data security practices are aligned with and embedded in data lifecycle management (DLM). It will discuss how readers …
DISA Data Governance Bylaws & Guidelines
Apr 30, 2025 · 2.1 Data Lifecycle Management Phase 1: Planning The purpose of the DISA system's Data Lifecycle Management Planning phase is to ensure that every aspect of data …
Data Management Life Cycle Final report - Texas A&M …
Researchers developed the data management life cycle to organize data, characterize its nature and value over time, and identify policy implications of cross-cutting data management issues.
Data Lifecycle and Analytics in the AWS Cloud - Amazon …
modernizing their approach to data lifecycle management, and leveraging the latest cloud-native analytics tools, organizations reduce costs and gain operational efficiencies, while enabling …
Principle Category Data Lifecycle Govern and Manage Data …
Incorporate Data into Decision-Making: As part of budget, operational, policy, and management processes, identify opportunities to effectively and routinely use data for decision-making and …
Joint Cybersecurity Information
Securing data throughout the AI system lifecycle Data security is a critical enabler that spans all phases of the AI system lifecycle. ML models learn their decision logic from data, so an …
Intelligence Community Data Management
Establish data management roles and implement the IC's data management planning framework, including provisions to enable implementation of relevant data security and data protection …
Data security: Safeguarding High-quality Development of the …
Data security management is undergoing a shift from reactive legislation to proactive practice. Regulatory frameworks for personal information protection have become increasingly …
Data Classification and Practices - NIST
Data-centric security management necessarily depends on organizations knowing what data they have, what its characteristics are, and what security and privacy requirements it needs to meet …
The Three Pillars of Security Multi-Factor Authentication …
Confidentiality, integrity, and availability represent the three pillars of information security. They work together to create a foundational model that helps organizations protect people, data, …
Voltage Fusion Data Security Platform Brochure - OpenText
Our platform helps you ensure that personal data is secure and handled ethically during use—even in data analytics contexts— safeguarding it from any potential harm. To protect …
Data Lifecycle Management Policy | Policies - Boston University
Boston University defines these phases as: Collecting, Storing, Accessing and Sharing, Transmitting, and Destroying. This policy defines or references the requirements for protecting …
Identity and Access Management Recommended Best …
The National Security Agency (NSA) and the Cybersecurity Infrastructure Security Agency (CISA) developed this document in furtherance of their respective cybersecurity missions, including …
2024 2025 2026 2027 2029 2030+ - IBM
data security frameworks, advanced data loss prevention solutions, and automated key and certificate lifecycle management will strengthen data protection in generative AI applications …
Data Lifecycle Management and Information Governance
This white paper reports some surprising findings about how organizations approach data lifecycle management, discusses its impact on information governance, and offers recommendations …
Data Classification Practices: Facilitating Data-Centric …
Standardized mechanisms for communicating data characteristics and protection requirements are needed to make data-centric security management feasible at scale. This project will …
Creating, Implementing and Managing the Information …
Security policy has become a generic term with different meanings for diverse audiences. This whitepaper describes how a standards-based approach helps define security policy as a …
Best Practices for Cryptographic Key Management - Thales …
Nov 21, 2019 · First, conduct a risk assessment of the organization in order to understand what types of data are present, where the data is stored, and the flows or patterns of the data.
Data security: Safeguarding High-quality Development of the …
Data security management is undergoing a gradual shift from legislation to practice. Currently, the regulatory framework for personal information protection has become increasingly …
12. Data Management
Data security and privacy management includes the policies, processes and procedures that are in place to ensure that data is kept safe and secure across all stages of the data lifecycle.
Best Practices for Managing Data Center Lifecycle Projects: …
By examining case studies, industry standards, and expert recommendations, this paper aims to provide a comprehensive understanding of how these best practices can be applied in real …
