Data privacy : a runbook for engineers / Nishant Bhajaria ; foreword by Neil Hunt.
By: Bhajaria, Nishant [author.].
Contributor(s): Hunt, Neil [author of introduction, etc.].
Material type:
BookPublisher: Shelter Island, NY : Manning Publications Co., [2022]Description: xxvi, 355 p. : ill. ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781617298998 (pbk.).Subject(s): Data protection | Privacy, Right ofDDC classification: 005.8 Online resources: Publisher Description and Content Page | Item type | Current location | Call number | Copy number | Status | Date due |
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Monograph
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Indian Institute of Management Udaipur A2/3 | 005.8 BN (Browse shelf) | 1 | Available |
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| 005.58 Presentation zen design : | 005.8 Computer Security : principles and practice | 005.8 Data and Goliath : | 005.8 BN Data privacy : | 005.8 JK Practical data privacy : | 006.312 Data Mining with R : learning with case studies | 006.35 Text mining with R : |
Includes bibliographical references and index.
Content Page:
PART 1. PRIVACY, DATA, AND YOUR BUSINESS
1 PRIVACY ENGINEERING: WHY IT’S NEEDED, HOW TO SCALE IT
2 UNDERSTANDING DATA AND PRIVACY
PART 2. A PROACTIVE PRIVACY PROGRAM: DATA GOVERNANCE
3 DATA CLASSIFICATION
4 DATA INVENTORY
5 DATA SHARING
PART 3. BUILDING TOOLS AND PROCESSES
6 THE TECHNICAL PRIVACY REVIEW
7 DATA DELETION
8 EXPORTING USER DATA: DATA SUBJECT ACCESS REQUESTS
PART 4. SECURITY, SCALING, AND STAFFING
9 BUILDING A CONSENT MANAGEMENT PLATFORM
10 CLOSING SECURITY VULNERABILITIES
11 SCALING, HIRING, AND CONSIDERING REGULATIONS
Summary:
Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a user’s trust in your applications. You may also face substantial legal consequences for failing to protect user data. Fortunately, there are clear practices and guidelines to keep your data secure and your users happy.
A runbook for engineers teaches you how to navigate the trade-off s between strict data security and real world business needs. In this practical book, you’ll learn how to design and implement privacy programs that are easy to scale and automate. There’s no bureaucratic process—just workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals.
What's inside
Classify data based on privacy risk
Set up capabilities for data export that meet legal requirements
Establish a review process to accelerate privacy impact assessment
Design a consent management platform to capture user consent.
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