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Privacy Engineering

Privacy Engineering

Privacy Engineering

Privacy Engineering

Privacy Engineering

Privacy Engineering

Privacy Engineering

Privacy Engineering

Privacy Engineering

Introduction

Privacy engineering integrates data protection principles into system architecture from the earliest design stages. Rather than treating privacy as an afterthought or compliance checkbox, privacy engineering embeds controls into the fabric of software systems. This approach aligns with the "privacy by design" framework and regulatory requirements like GDPR and CCPA.

Privacy by Design

Privacy by Design (PbD) is a framework developed by the Information and Privacy Commissioner of Ontario, articulated through seven foundational principles.

The Seven Principles

• Proactive not Reactive: Prevent privacy risks from occurring, not remediate after the fact

2\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\. Privacy as Default: Personal data is automatically protected without user action 3\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\. Privacy Embedded into Design: Privacy is integral to the system, not bolted on 4\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\. Full Functionality: Privacy does not sacrifice functionality — positive-sum, not zero-sum 5\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\. End-to-End Security: Full lifecycle protection from collection to destruction 6\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\. Visibility and Transparency: Processes are open, accountable, and auditable 7\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\. Respect for User Privacy: User-centric design with strong defaults and clear notices

Privacy by design: data minimization example

class UserRegistrationService:

def register_minimal(self, email, password):

"""Collect only necessary data (Principle 3: Data Minimization)."""

return User(

email=email,

password_hash=self.hash_password(password),

Don't collect: phone, address, birthday, etc.

created_at=datetime.utcnow()

)

def set_default_privacy(self, user):

"""Privacy as default: opt-in for data sharing (Principle 2)."""

user.privacy_settings = PrivacySettings(

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