An employee has leaked sensitive information. How can you prevent a similar incident in the future?
A data leak can be a nightmare for any organization. To guard against this, consider these steps:
- Implement strict access controls. Limit sensitive information to essential personnel only.
- Conduct regular security training. Educate employees on the importance of confidentiality and the risks of data breaches.
- Establish a clear reporting system for suspicious activity to encourage vigilance and accountability.
How do you safeguard your company's sensitive information? Share your strategies.
An employee has leaked sensitive information. How can you prevent a similar incident in the future?
A data leak can be a nightmare for any organization. To guard against this, consider these steps:
- Implement strict access controls. Limit sensitive information to essential personnel only.
- Conduct regular security training. Educate employees on the importance of confidentiality and the risks of data breaches.
- Establish a clear reporting system for suspicious activity to encourage vigilance and accountability.
How do you safeguard your company's sensitive information? Share your strategies.
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DLP tools are essential for monitoring and restricting the transfer of sensitive data, ensuring unauthorized sharing is both detected and blocked. Advanced tools are available to help with sensitive data discovery and classification, even integrating with email platforms like Outlook to identify sensitive information. These tools can automatically enforce controls, such as removing sensitive data or adding appropriate labels to the subject or content of emails. While policies, procedures, and awareness training play an important role in protecting sensitive data, implementing an effective DLP tool is one of the most reliable methods to prevent data loss.
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Develop and test incident response plans to handle leaks swiftly, minimizing damage. Use user activity monitoring software to detect unusual or suspicious activities, such as bulk downloading of sensitive files or accessing data outside work hours. This can help identify potential risks early. Secure all endpoints (desktops, mobile devices, etc.) with updated antivirus software, firewalls, and encryption tools to prevent unauthorized access. Create a simple, clear system for employees to report suspicious activities, ensuring vigilance across the team.
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Data Identification and Data Classification according to organisations risk values is key to start the DLP journey. Data owners must be able to identify the crown jewels for the organisations. Based on the data flow (Email, Endpoint, File storage, Hardcopies/Printables), identify the threat surface and apply the controls with appropriate tools and operational process to govern the entire process.
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Mais de 90% das fraudes digitais são cometidas com a utilização de credenciais válidas, fato que o crime organizado compra bases de credenciais vendidas nos porões da internet. Uma parte destas fraudes são cometidas diretamente pelos donos das credenciais que se utilizam de super poderes concedidos pela empresa que permitem acesso a informações privilegiadas. As empresas devem utilizar os principais frameworks como CIS Controls, NIST, entre outros para melhor assertividade e proteção. As certificações nas normas ISO 27001 e ISO 27701 são fundamentais também, somadas a ferramentas que permitam a proteção destas informações e a rastreabilidade do acesso a eles.
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Preventing future data leaks requires a proactive approach: • Limit access: Only grant access to sensitive data on a need-to-know basis, minimizing exposure. • Regular training: Ensure employees understand data protection protocols and the consequences of breaches. Consistent education fosters a culture of security awareness. • Monitor and report: Implement systems to detect unusual activity, and encourage employees to report suspicious behavior immediately. These steps not only safeguard data but also cultivate a more security-conscious workforce. How do you protect your organization from data leaks?
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