What do you do if your team members are misusing sensitive data?

Following steps can help you do get a impact. 1) Identify what processes and user can access the sensitive data. 2) How business processes need this kind of data. 3) How data is shared in clients and business teams. 4) Get datetime when this event happend by tracking last deployment and changes to find the change allows it. 5) Get logs from servers or/and data storage to get how recurrent this process. 6) With evidences, generate points or content help to use the risk assessment to know the impact. It's good if you can an approximated impact, in case your content won't fix with your risk assessment at all. 7) Check and apply the contingency & incidents plan more related with the impact.

Use data access logs to identify which data was accessed and by whom. Analyze data movement patterns to understand how the data was misused. Evaluate the security controls in place (encryption, access restrictions) to determine if they were bypassed. Identify potential data breaches or vulnerabilities that might have enabled the misuse. Example: An access log shows a team member downloaded a large customer dataset outside of work hours. You investigate further to see if the data was uploaded to a personal cloud storage service, indicating a potential breach

Review data access controls to ensure they align with your organization's data usage policy. Implement automated data loss prevention (DLP) tools to restrict sensitive data movement. Configure user access based on the principle of least privilege, granting access only to data required for specific tasks. Example: Enforce a policy that restricts downloading customer data outside of designated work hours. DLP tools can monitor data movement and alert you to potential breaches.

Analyze system logs to identify potential weaknesses in data security architecture. Review data encryption practices to ensure sensitive data is protected at rest and in transit. Assess the effectiveness of multi-factor authentication and other access control mechanisms. Recommend and implement additional security measures (e.g., data masking, anonymization) based on the type of sensitive data involved.

Generate a training scheduling to retrain the technical and business teams about their processes and its ethical, financial & legals implications on organization, users and theirs. Repass the handbook about how handle some cases that they have doubt how they work in these cases in related with sensitive data. Repass who can access the sensitive data in what conditions and cases; as well the process the usage on it.

Include technical aspects of data security in your training program. Educate staff on data encryption methods, access controls, and DLP tools. Emphasize the importance of identifying and reporting suspicious data activity. Train staff on secure data handling practices, such as data minimization and proper disposal.

Utilize security information and event management (SIEM) systems to collect and analyze data access logs. Implement automated security tools that continuously monitor for suspicious activity. Conduct regular penetration testing to identify and address vulnerabilities in your systems. Regularly review and update your data security measures to stay ahead of evolving threats.

Avalie a politica de privacidade existente e confirme quais itens s?o violados, após isso, baseado em evidências converse com os membros da equipe e busque em conjunto formas de ajustar o trabalho para ficar em conformidade com a política. Deixe claro o impacto e riscos que foram gerados devido as n?o conformidades geradas. Para o ajuste, geralmente é feito um plano de adequa??o. Acompanhe esse plano e verifique constantemente o cumprimento da politica de privacidade pelo time. Outra a??o recomendada é refor?ar esses pontos na Politica de Arquitetura de Dados vigente.