Securing Your Data Supply Chain (Paperback)

Langue : anglais

Edité par Independently Published, 2025

9798309926749

Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail

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A propos de cet article

Paperback. Navigate the complex realm of data governance in the digital age. In a time when data is the lifeblood of organizations, ensuring its integrity, security, and reliability is crucial. "Securing Your Data Supply Chain: Data Governance in the Digital Age" offers a comprehensive framework for establishing strong data governance practices that tackle both traditional challenges and emerging threats. Key Highlights: - Strategic Necessity: Grasp why data governance is now essential for organizations aiming to thrive in the digital landscape.- Framework Development: Discover the essential steps for creating a data governance framework, encompassing the definition of scope, structure, and processes for managing data as a strategic asset.- Emerging Threat Management: Uncover proactive strategies to identify and mitigate emerging threats like data poisoning, deepfakes, and data suppression, which can significantly undermine data integrity and reliability.- Data Supply Chain Security: Safeguard your data supply chain by implementing rigorous checks at every stage of the data lifecycle, from sourcing to delivery.- Proactive Threat Modeling: Leverage threat modeling methodologies such as STRIDE, DREAD, PASTA, and LINDDUN to detect, analyze, and mitigate potential vulnerabilities before they are exploited.- Role Clarification: Define roles and responsibilities within your organization to guarantee accountability and effective data management.-Future Trends: Get ready for future advancements in data governance, including the growing use of AI, machine learning, blockchain, and changing regulatory frameworks. Benefits of Reading This Book: - Mitigate Risks: Implement policies and controls to lessen potential risks related to data breaches, non-compliance, and poor oversight.-Achieve Competitive Edge: Ensure data accuracy, consistency, and security, allowing your organization to make informed decisions and foster innovation.-Ensure Regulatory Compliance: Comply with laws, regulations, and industry standards concerning data, such as GDPR, by clarifying decision-making rights and responsibilities.-Enhance AI Integration: Guarantee the quality, security, and compliance of data used for training AI models, leading to more trustworthy and reliable AI-driven insights.-Promote Ethical Data Practices: Cultivate a culture of transparency and accountability in data management, ensuring data is used responsibly and ethically. Who Should Read This Book: -Data Protection Officers-IT Managers-Business Leaders-Compliance Officers-Data Analysts and Data Scientists-Anyone involved in data management and governance.Equip yourself with the knowledge and strategies needed to navigate the intricate data landscape and unlock the full potential of your organization's data assets. Order your copy today and revolutionize your approach to data governance. --- "At this point in history, we know that protecting data is the critical task for an organization. Understanding how to do so is the challenge. Using clear, simple language and real-world examples, Steven cuts through the complexity to show professionals how this ecosystem works without getting lost in the technical weeds." Will Bracker, Partner, Bracker &; Holder. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

N° de réf. du vendeur 9798309926749

Titre
Securing Your Data Supply Chain (Paperback)
Auteur
Steven A. Wright
Éditeur
Independently Published
Année de publication
2025
État de l'article
new
Reliure
Paperback
Langue
anglais
ISBN à 13 chiffres
9798309926749

CitiRetail

Stevenage, Royaume-Uni

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 29 juin 2022

Frais d'expédition de Royaume-Uni vers Etats-Unis

Article7 à 14 jours ouvrés7 à 60 jours ouvrés
Premier articleEUR 44,38EUR 44,38
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