Metadata management

Translating privacy law into software architecture

Introduction

What is this?

Data privacy, in the context of the right to be forgotten, refers to an individual's right to have their personal data erased or removed from a data controller's records and any associated systems. The right to be forgotten is a fundamental aspect of data protection laws, such as the General Data Protection Regulation (GDPR). It allows individuals to request the deletion of their personal data when it is no longer necessary, unlawfully processed, or violates their privacy rights. Data privacy ensures that individuals have control over their personal information and can exercise their right to have data about them forgotten or erased to protect their privacy and autonomy.

Figures

360 figures

5 _Years
Experiences of in setting up data deletion solutions.
7 _Insurances
Running solutions designed by our consultants.
100 _Million
Orchestrated deletions per month ensured by our deletion orchestration solutions

Motivation

Why?

By establishing a robust right to be forgotten process, enterprises can ensure compliance with data protection regulations such as the GDPR. This enhances their reputation, builds customer trust and mitigates the risk of legal consequences. We provide expertise in establishing a data deletion process and have a robust enterprise solution for it which was designed out of several years of development and integration of such solutions at major insurance companies. Our services therefore help enterprises to deal with a challenging complex application landscape with many dependencies and ensure lean and secure system integration.

Steps

What?

Policy & Legal Compliance
We support defining a clear data deletion policy aligned with regulatory requirements and organizational objectives. Our deletion concept ensures compliance with data protection laws, such as the GDPR, by understanding obligations related to data deletion and retention.
1.
Inventory & Classification
In further analysis we conduct a comprehensive inventory of the data held by the enterprise, identifying personal data subject to deletion. Classify data based on sensitivity and legal requirements to determine appropriate deletion timelines and methods and group them into deletion business object types.
2.
Deletion Process Design & Implementation
Design a structured data deletion process that encompasses request handling, verification and secure deletion methods. Establish procedures for handling data deletion requests, including verification of identity and assessing the validity of the request by specifying a data deletion architecture.
3.
Technology & System Integration
Evaluate existing systems and data repositories to ensure the ability to locate and delete relevant data. We offer the Espresso Orchestration Deletion automation solution as a robust proven tool for automating the deletion process. In the onboarding phase we integrate data deletion capabilities into existing processes and systems with the suppliers, such as customer relationship management or data management platforms.
4.
Monitoring & Auditing
Implement monitoring mechanisms to track and document data deletion activities. Conduct regular test audits to assess the effectiveness of the data deletion process and identify areas for improvement as part of monitoring activities.
5.

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Got a question this are some of most common in our field

FAQ - Frequently asked question

A data deletion automation tool is designed to automate the process of deleting data from a data repository. Some of the key features and functionalities of such a tool may include: Rule-based deletion: The ability to automatically delete data based on specific rules or criteria, such as age or usage. Data identification: The ability to accurately identify and locate data to be deleted, including data stored in multiple locations or formats. Data validation: The ability to validate the data to be deleted, to ensure that it is accurate and complete. Audit trails: The ability to track and log the deletion process, including the data that was deleted and when it was deleted. Security and compliance: The ability to ensure that the deletion process is compliant with data privacy and security regulations. Overall, the goal of a data deletion automation tool is to make the process of deleting data more efficient, accurate and secure.

The data deletion automation tool ensures compliance with data protection regulations by providing a secure and auditable process for deleting data. It typically includes features such as role-based access control, data encryption and audit trails to track data deletion activity. Additionally, the tool may provide options for securely overwriting or shredding data to ensure that it cannot be recovered once deleted. This helps organizations to meet regulatory requirements for data retention and deletion, such as GDPR or CCPA, while also reducing the risk of data breaches and unauthorized access. The tool may also include features for automating the process of classifying data as per regulatory requirements and ensuring that data is deleted in accordance with specific retention policies.

Yes, a data deletion automation tool should be able to handle different data types and sources for deletion. The tool should be able to identify and delete data from various sources, such as databases, file systems and cloud storage. It should also be able to handle different data types, such as structured, semi-structured and unstructured data. The tool should be able to process different data formats, such as CSV, JSON, XML and more. It should also be able to handle data located in different geographical locations and comply with data residency requirements. The tool should be flexible enough to handle different data types and sources to ensure comprehensive data deletion.

The data deletion automation tool ensures secure and irreversible data deletion by using industry-standard techniques such as cryptographic erasure and shredding. The tool also provides an audit trail of all deletion activities, ensuring compliance with data protection regulations. Additionally, the tool can be configured to verify the deletion of data before it is overwritten or released for reuse, ensuring that data is not inadvertently recovered. The tool can also be integrated with other security tools and processes to provide a comprehensive data protection strategy.

Implementing the data deletion automation tool requires a thorough assessment of the organization's data sources, data types and data storage locations. The tool must be integrated into the existing data pipeline and connected to the relevant data sources. The implementation process typically involves configuring the tool to meet organizational requirements and policies for secure and irreversible data deletion. Once implemented, the tool must be tested and validated to ensure that it is functioning as expected and meets all compliance requirements.

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