You've encountered a critical data loss incident. How do you prevent it from happening again?
Experiencing a critical data loss incident is a wake-up call for any organization. To safeguard your data and prevent future issues, consider these strategies:
How do you ensure your data is protected? Share your strategies.
You've encountered a critical data loss incident. How do you prevent it from happening again?
Experiencing a critical data loss incident is a wake-up call for any organization. To safeguard your data and prevent future issues, consider these strategies:
How do you ensure your data is protected? Share your strategies.
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Critical data loss can hit organizations hard, but it’s also a good time for learning. A solution we recommend is automating backups. This ensures that you always have recent copies of your data without the manual effort. I would also emphasize the importance of high availability if your budget allows. Including regularly stress-testing standby nodes to make sure they can seamlessly take over when needed. Access control is another focus area. Review who has access to your databases, especially during offboarding, to ensure that former employees don’t retain access. Lastly, quarterly reviews of backup plans, DR tests, and access controls. This proactive approach helps identify vulnerabilities as they happen and keeps their data secure.
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Here are a few points that we can apply to prevent data loss. • Conduct a Root Cause Analysis to identify and fix vulnerabilities. • Implement a 3-2-1 backup strategy: three copies of data, two on different media, one offsite. • Strengthen cybersecurity measures like encryption, firewalls, and access controls. • Regularly test disaster recovery plans to ensure data can be restored quickly. • Provide training for employees on security best practices and handling sensitive data. • Leverage AI-based tools to monitor and detect anomalies proactively. • Perform regular audits to ensure compliance and identify gaps. • Proactive planning is key to safeguarding data and minimizing risks.
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Root cause analysis is your friend. After the initial chaos settles down, spend time calmly and thoroughly figuring out the exact cause. Once you find the root cause, take steps to eliminate the issue. Again, be calm and thorough. Do not rush to fix something; think about the best solution and implement. Monitoring job, updating pipelines, backing up source data are some of the possible solutions. Also understand that there is always something you will miss and this sort of thing is the unfortunate side effect of that lack of omniscience. Make sure that everyone learns from the experience so that something positive comes from it.
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In addition to what the experts have mentioned, having the right infrastructure and reviewing it at regular intervals is most important. Additionally we need to have regular disaster recovery tests to ensure that the data that is being backed up or replicated is actually usable. Security and access control also play an important role in ensuring data integrity. Last but not the least ensure you patch all the servers regularly so that they are always in support.
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follow the database vendor instructions whether your active-active active-standby backup / recovery. I know you know the rest of the story if it was a custom process or a hiccup with SDLC.
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È cruciale disporre di una valida ed efficiente Data Loss Prevention (DLP) strategy , basata su una varietà di strumenti progettati per garantire che i dati non vengano persi o rubati, sia a riposo, in memoria, in transito o durante l'uso. I dati possono essere persi per molti motivi come ad esempio guasti hardware, errori umani o disastri naturali. Dobbiamo avere un piano di prevenzione della perdita di dati completato da procedure per la business continuity per mantenere la nostra attività in esecuzione senza interruzioni operative e garantirne l'affidabilità e la disponibilità in ogni momento.
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Aqui vale sempre o mesmo “mantra”: backup! Mas ele é apenas aquela parte básica que tem que estar ali no seu baseline de operações e também com os olhos dos times de Governança e Segurança da Informação. Além do uso das melhores ferramentas e que hoje já temos e com situações muito melhores com o uso de ambientes em Cloud, de nada vai adiantar sem: - monitoração: das condições e execução; - testes recorrentes: sem testes recorrentes de recuperação nunca se saberá se está ok para o uso. E todos nós sabemos um ponto crucial de tudo que ajuda a responder as ações: quanto vale o uso dos meus dados na corporação? Se a empresa sabe, vai dar o devido valor e se ainda não tem ideia, mostre urgentemente antes do próximo “outage” .
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- Schedule automatic backups to ensure data is saved consistently without manual intervention. - Identify and classify data based on its importance and sensitivity. - Implement DLP solutions to monitor and control data access and transfers. - Install and regularly update security software to protect against malware that can cause data loss. - Create a comprehensive incident response plan detailing steps to take in case of data loss, including roles and responsibilities. - Implement monitoring tools to detect unusual activity or potential data breaches in real time.
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Make sure you understand the root cause and the remediation, then independently make sure thy you have backups implemented that you test periodically.
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Some of the key strategies to mitigate data loss Regular backups - automatic backups, regularly test your backups, consider different back uo scenarios, Access control strong password policies, keep software up to date, update antivirus and malware Employee training - for proper data handling, safe file handling,, sharing, phishing awareness, password hygiene Strong data encryption , Data loss prevention tools, Have a. clear incident response plan, Important considerations are data classification , network security, 3rd party vendor management, regular security audits Have a data breach response guide prepared in advance
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