This document establishes guidelines for the encryption and use of user-provided IDs – notably email addresses and phone numbers – in scenarios when online publishers or marketers offer personalized content or services tied to a user-provided email or phone number.
This short whitepaper aims to create the beginnings of a framework for best practices standards by focusing on specific privacy and security vulnerabilities within ML systems. At present, we view these vulnerabilities as warning signs—either of a future in which the benefits of ML are not fully embraced, or a future in which ML’s liabilities […]
Baker McKenzie is pleased to bring you our 2019 Global Data Privacy & Security Handbook which now combines and consolidates our renowned privacy related handbooks into one resource. Baker McKenziehave revised the content to make it more concise, comparable and practice-relevant while still providing detailed overviews of the increasingly complex and sophisticated data privacy and security standards […]