Comment utilisez-vous l’automatisation et la technologie pour rationaliser et simplifier les droits et les demandes des personnes concernées ?

1) Implement an online portal where data subjects can submit requests 2) Deploy workflow automation tools to route requests to the relevant departments for processing 3) Use automated data discovery tools to map the location of the required data 4) Implement automated validation checks to verify the identity of the requester securely 5) Develop dynamic response templates, to personalize the nature of the request 6) Enable audit trails to log each step of the request process 7) Automate notifications to inform data subjects about the status of their requests 8 Integrate request processing with data governance frameworks 9) Implement automated monitoring/compliance reports to track the efficiency of the process and adherence to regulations.

Automation and technology help handling data subject rights and requests more easily. We've implemented software that helps us track and manage these requests efficiently. It automatically identifies and collects relevant data, which saves us a lot of time. Additionally, we've set up automated responses to acknowledge requests and keep individuals informed about the status of their requests. This technology has made our data management processes more streamlined and user-friendly.

This comes down to having a good mapping of where this sensitive or personal information exists. This does speak to data security more generally, but without this clear mapping the organisation will spend a lot of wasted hours in searching for this information - especially if they don't have an automated solution in place.

To streamline data subject rights and requests, start by assessing your data landscape to understand where and how personal data is stored, processed, and shared. Mapping data flows, identifying data sources, and documenting retention and deletion policies are crucial for accurate and efficient responses. Automation plays a key role here; using data discovery and classification tools can help keep your data inventory current and simplify compliance with legal obligations. This approach ensures a systematic and technology-driven method to handle data subject requests effectively.

First step is to identify, discover and scope the data repositories. Define requirements of solution we require for easy automation. Build strong Business case with management and get it approved. Once you have approval, look for solutions which solves your problem statement for the company.

Assessing the data landscape involves gaining a comprehensive understanding of the organization's data ecosystem. This process includes identifying types of data collected, storage mechanisms, data flows, and access points. By analyzing data sources, quality, and sensitivity, organizations can effectively map their data landscape. This insight informs data governance strategies, aids in compliance with regulations, and ensures the implementation of appropriate security measures. Regular assessments allow organizations to adapt to evolving data needs, mitigate risks, and maintain a resilient and well-managed data environment.

1) Faça o data mapping; 2) Inclua uma página ou formulário no site, ou plataforma para que os direitos e titulares possam ser enviados; 3) Uma automação sugerida é na própria plataforma do serviço o administrador conseguir acessar e exercer seus direitos de titular de dados, mas nem sempre é possível;

I use several methods to automate the processes involved in data subject rights and requests. To begin with, I use workflow automation to categorize and prioritize requests based on their speed and urgency—this guarantees that all requests receive timely answers and that the kinds of processes needing our human touch are passed up to us without undue delay. I also use data management software that maintains a centralized, easily accessible system for treating visibility and accountability as core organizational values. At the end of the day, even those making requests have a right to understand how those requests are being handled and with what speed.

We need to ensure any data shared during the process doesn't violate the data subjects' privacy. One of the common techniques is anonymization, where data is processed to remove or alter identifiers so that the data cannot be associated with any individual without the use of additional information.

In most cases Security automation can help organizations more easily fortify endpoint security by streamlining the process of updating, monitoring, and resolving potential vulnerabilities. This includes ensuring all endpoints adhere to security requirements and policies and receive the latest patches.

Implementing a request management system is crucial for efficiently handling data subject requests. Choose a user-friendly platform that centralizes requests, categorizes them, and automates workflow processes. Integrate identity verification tools to enhance security. Implement template responses for common requests, ensuring consistency. Utilize encryption and robust security measures to protect sensitive data. Establish regular updates and notifications to keep data subjects informed. Integrate the system with existing CRM tools for a holistic view. Regularly audit and refine the system to align with evolving compliance requirements and enhance overall efficiency in managing data subject requests.

1) Criar ticket da solicitação; 2) Entregar o update nesse ticket da abertura do caso; 3) Entregar o update nesse ticket do andamento da solicitação; 4) Fazer essa demanda internamente passar pelas áreas envolvidas na ação sobre os direitos de titulares; 5) Entregar a informação final ao titular; O ponto aqui é realmente ter algo concreto para trabalhar internamente e manter o titular informado sobre abertura, andamento e finalização da solicitação.

A request management system needs to be a self-service portal to scale the coverage. Also, we need to ensure the consistency of handling of requests to reduce manual errors and track progress against regulatory deadlines.

There are a number of solutions that can automate both the data extraction and deliver of this content to the requester - a few things to consider: - Ensure that the solution has a clear audit log, so that you can track the information up to the point where it is provided to the requester, this includes the acceptance of the information by the requester, and if necessarily a confirmation of the deletion of that content. - The solution needs to be able to search in the repositories that the personal information is stored - so a clear mapping of these locations is key. - RBAC should be in place here, make sure the solution allows only specific users to run these searches - as it can surface a huge amount of information.

Solutions like Vaornis, Sailpoint FAM will add value in data extraction and delivery. Getting budget approval and implementing solution for the company.

Your solution should provide clear, and immutable audit logs for these requests out of the box. If you're using a manual approach for this (and you should really look at automating this if you are) make sure that log is stored in a location that cannot edited after the fact - if people get access to that location, and start to make changes, then your entire process is compromised.

Automate process to trigger alerts and integrate with solutions like SIEM. Automation should be able to work as a flow and we can use solutions XOAR.

The manager owns fostering a culture of data protection and privacy. Data protection, DSAR servicing and privacy succeed with a core team cross-trained on essential skills including: 1) Shaping a playbook for handling DSARs – aligned to your toolset yet adaptable as regulations (GDPR, CCPA, GLBA) evolve. Yes proper data disposal is essential. 2) Forming the right repeatable timely process to provide the DSAR a compliant response. Not too much or too little. Automation with enough human oversight to avoid privacy mistakes. 3) Leadership in team building. Strike a balance between data privacy acumen and technical prowess. 4) Staying current - ensure staff repeat certifications here every twelve months.

Training staff in this circumstance goes beyond just the staff working on the subject rights request. Staff should be educated and trained on the handling of personal information to ensure its proper storage, discoverability and information lifecycle policies can be applied to it. This also applied to the proper disposal of that content in the appropriate timeframe, depending on the business case justification on holding that data in the first place.

Security Awareness and policy definition is the key for the success. Train regularly all the staff as per tailored manner based on their role.

An issue I have seen throughout my career is not having a good mapping of where this personal information is stored. A subject rights request is a powerful tool that people can use to have a clear understanding of where, and what information an organisation holds for them, and allows for the removal of this information. If we are running automated or manual searches in locations that are not holding this information, it leads to both wasted hours searching for the content, but also potential liability if content persists in the organisation in a location that has not been searched.