How to execute, update, integrate, refresh, automate, embed, and silobuster GDPR processes

How to execute, update, integrate, refresh, automate, embed, and silobuster GDPR processes

The GDPR Monitoring and Audit assessment based on a bottom-up, security-driven, and data-focused approach for a sustainable GDPR compliance solution.

Typically, at our GDPR Masterclass seminars, (now also available as eLearning webinars) we approach GDPR implementation and execution through a top-down, across the articles, step by step, ISO 27001 and checklist approach to ensure that all nooks and corners of the GDPR are covered and addressed. However, if the data- protection, privacy and IT- and cybersecurity issues are not followed up by a bottom-up methodology to customise and tailor the corporate privacy and data protection program, it will result in a limited, superficial privacy stance that delivers little real security.

Privacy data and processes’ re-engineering perspectives

The bottom-up approach will address the underlying data protection and security needs by utilising data management best practices based on structured top-down guidance. Follow the plan to set up the organisations goal to achieve both regulatory compliance and a healthy privacy posture and streamline processes, centralise the database and a structured IT platform for automation.

Under a typical compliance implementation, you take one mandate of the regulation at a time. However, GDPR solving the underlying security and data problems is the key or the real goal.

A 10-point Bottom-Up Approach to Data Privacy and Data Protection execution

1. To implement the bottom-up approach, all stakeholders need to have a common understanding of the methodology:
2. Thorough knowledge of the threats and GDPT and IT risks as they relate to the IT security and management of underlying customer data.
3. Data Protection principles that secure privacy data from the bottom-up requires a robust data security program as a foundation, starting from committee charters, policies, standards, and procedures that align with the tenets of privacy by design.
4. Address the GDPR principles that involve embedding privacy into underlying processes, objectives, operations, and technologies by default
5. Develop implementation concepts through privacy incidents, strategies, and implementation tactics together with the GDPR framework to ensure that the privacy data and processes are applied, and applicable from software and re-engineering perspectives
6. Facilitate the identification of crucial privacy use cases, for appropriate program design adjustments, and prioritisation efforts
7. Look at the many underlying security needs based on the experience and history to comply with privacy regulations. Use technology as part of a multifaceted program instead of purchasing an IT tool to deliver compliance and security
8. Review the other components on how to incorporate compliance while still prioritising customers and their data, e.g. understand both the locations and types of data
9. Document the multiple elements that build an effective privacy program based on privacy by design, to support bottom-up data protection and process automation
10. Adequate privacy by design explicitly serves customers and their privacy needs. It drives both data protection (security re-engineering, pseudonymization) and process automation (data subject access requests, right to be forgotten) efforts

Process Automation requires privacy programs that are repeatable, auditable, and critical automated processes for data subject access requests and reap the benefits from operationalisation, such as:

1. Data classification and mapping
2. Data privacy impact assessment
3. Third-party data management
4. Data incident response

Data knows no boundaries

Global Data Protection, Data Privacy, IT-and Cybersecurity concerns are the starting point for almost any new application or process in the organisation. The corporate commitment to greater user control and data subject empowerment is stronger than ever.

Data breach prevention & mitigation are critical GDPR components that check if your organisation is meeting all the requirements to avoid data subject complaints, data breaches and fines and requires continuous evaluation of data flows in and outside the company.