To keep up with the rapid growth of technology and this AI renaissance, privacy professionals must adopt new approaches to embed within business processes and technology, and use their own technology. Complex global data protection regulations require organizations to embed privacy into their operations, products, and services.  In order to meet regulatory requirements and commercial demand, privacy engineering must become a material part of an organization’s business.  Privacy engineering involves identifying potential privacy risks, evaluating the impact of those risks, and implementing appropriate solutions to address them.

This presentation will outline a systematic approach for implement privacy engineering within an organization, including:

• Defining privacy requirements with an ever changing legal landscape
• Adopting a privacy by design approach to product development
• Validating privacy controls and embedding privacy impact assessments into business processes
• Continuously monitoring and improving the privacy posture of an organization and its products
• Implementing automated systems to ensure scalability, consistency, and auditability of privacy controls

The presentation also highlights the benefits of embedding privacy into products and services at organizations. By implementing genuine privacy safeguards, organizations can earn the trust of their customers and employees, improve their reputation, and avoid costly legal entanglements which may arise from settling for data protection which is bolted on as an afterthought or left as a problem for the lawyers to solve.