Data Privacy Across Borders
暫譯: 跨境數據隱私

Hogenhout, Lambert, Wang, Amanda

商品描述

Apply a step-by-step approach to develop your organization's global data privacy strategy.

Data is everywhere. Organizations continuously use data in new ways, often generating cross-border data flows. At the same time, concern about the use of personal data is growing. Every year, more countries adopt data privacy laws and our expectations increase on how companies respect our private data. A data privacy strategy is no longer just about compliance-it is good business. A clear and effective data privacy program can build customer trust and strengthen a brand's reputation.


We cover the art of crafting an effective data privacy strategy that aligns with business objectives and brand positioning yet ensures compliance with relevant laws. Gain a foundational understanding of data privacy issues as a prerequisite to developing a custom strategy. Use our review of the major legislations around the world to guide you in creating a data privacy strategy. Benefit from our insights on the relation between data privacy programs and a data strategy, an IT strategy, and risk management frameworks. Be able to apply methodologies to help you stay on track, such as Privacy by Design and data minimization. Incorporate the cultural and ethical considerations of data privacy across different countries where you may operate. Know how emerging privacy enhancing technologies (PETs) can be powerful tools in implementing your strategy, and pinpoint the intersection between data privacy and AI.


The stakes for data privacy have never been higher and this book will help you up your game.

商品描述(中文翻譯)

採用逐步的方法來發展您組織的全球數據隱私策略。

數據無處不在。組織不斷以新的方式使用數據,經常產生跨境數據流。同時,對個人數據使用的擔憂也在增加。每年,越來越多的國家採納數據隱私法,我們對公司如何尊重我們的私人數據的期望也在提高。數據隱私策略不再僅僅是合規問題——它是良好的商業行為。一個清晰且有效的數據隱私計劃可以建立客戶信任並加強品牌聲譽。


我們將探討制定有效數據隱私策略的藝術,該策略與商業目標和品牌定位相一致,同時確保遵守相關法律。獲得對數據隱私問題的基礎理解,作為制定自定義策略的前提。利用我們對全球主要立法的回顧來指導您創建數據隱私策略。從我們對數據隱私計劃與數據策略、IT 策略和風險管理框架之間關係的見解中受益。能夠應用方法論來幫助您保持正軌,例如「隱私設計」(Privacy by Design) 和數據最小化。考慮您可能運營的不同國家的文化和倫理考量。了解新興的隱私增強技術 (PETs) 如何成為實施您策略的強大工具,並確定數據隱私與人工智慧 (AI) 之間的交集。


數據隱私的風險從未如此之高,本書將幫助您提升競爭力。

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