When scaling up your data governance, maintaining security standards is critical to protect sensitive information. Here are steps to keep your data safe:
- Conduct regular risk assessments to identify and mitigate potential vulnerabilities in your expanding systems.
- Train employees on updated security protocols, emphasizing the importance of their role in safeguarding data.
- Implement robust access controls, ensuring only authorized personnel can interact with sensitive data.
How do you maintain high data security standards during expansion? Share your experiences.
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As we expand our data governance practices, maintaining robust data security standards is critical. We achieve this by integrating security protocols into every phase of governance, from data collection to storage and usage. Role-based access controls (RBAC) limit data access to authorized personnel, while encryption ensures sensitive information remains protected. Regular security audits and monitoring tools help detect vulnerabilities early. We also stay compliant with industry regulations and continuously train teams on best practices. By embedding security into our governance framework, we safeguard data integrity while scaling operations effectively.
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Establish Clear Policies and Standards Engage stakeholders from IT, legal, compliance, and business units to ensure a holistic approach to data governance and security. Regularly assess risks associated with data storage, access, and processing to identify vulnerabilities. Role-Based Access Control and regular access reviews. Use monitoring tools to track data access and usage patterns for unusual or unauthorized activities. Provide regular training for employees on data governance practices, security policies, and best practices for data handling. Conduct audits to ensure compliance with both internal policies and external regulations.
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Ensure data security in expanding governance practices via risk assessments, access controls, encryption, compliance, training, monitoring & incident response.
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- Política de Acessos: inicia com o mínimo ou quase nada de privilégios. Vai liberando conforme necessidade e avalia??o. Separe usuários/grupos de sistemas/servi?os. - Nível granular de acessos aos dados: se o dado está num data lake, banco de dados ou alguma estrutura que se pode isolar a nível de linhas ou colunas, fa?a-o. - Logs de auditoria: quem e quando acessou o quê.
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