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How robust data security minimum prevent financial losses with refferences?
Theresia John
Jan 31
How robust data security minimum prevent financial losses with refferences?
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Jan 31
Robust data security measures are crucial in preventing financial losses. Here are some key ways in which robust data security can help prevent financial losses:
1. Protection against data breaches: Robust data security measures, such as encryption, firewalls, and intrusion detection systems, can help protect sensitive financial data from unauthorized access. This reduces the risk of data breaches, which can lead to financial losses due to theft, fraud, or regulatory penalties.
Reference:
- Ponemon Institute. (2020). Cost of a Data Breach Report 2020. Retrieved from https://www.ibm.com/security/digital-assets/cost-data-breach-report/#/
2. Prevention of identity theft and fraud: Strong data security measures can safeguard personal and financial information, reducing the risk of identity theft and fraudulent activities. By preventing unauthorized access to customer data, organizations can minimize the financial losses associated with fraudulent transactions and the subsequent legal and reputational damages.
Reference:
- Federal Trade Commission. (n.d.). Identity Theft. Retrieved from https://www.consumer.ftc.gov/features/feature-0014-identity-theft
3. Compliance with data protection regulations: Implementing robust data security measures ensures compliance with data protection regulations, such as the General Data Protection Regulation (GDPR) in the European Union or the California Consumer Privacy Act (CCPA) in the United States. Non-compliance with these regulations can result in significant financial penalties and legal consequences.
Reference:
- European Commission. (n.d.). General Data Protection Regulation (GDPR). Retrieved from https://ec.europa.eu/info/law/law-topic/data-protection_en
- State of California Department of Justice. (n.d.). California Consumer Privacy Act (CCPA). Retrieved from https://oag.ca.gov/privacy/ccpa
4. Business continuity and disaster recovery: Robust data security measures include regular data backups and disaster recovery plans. In the event of a cyberattack, natural disaster, or system failure, these measures help organizations recover their data and resume operations quickly, minimizing financial losses associated with downtime and data loss.
Reference:
- National Institute of Standards and Technology (NIST). (2012). Guide for Cybersecurity Event Recovery. Retrieved from https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-184.pdf
5. Protection against insider threats: Robust data security measures also address insider threats, which can result in significant financial losses. Access controls, user authentication, and monitoring systems help detect and prevent unauthorized activities by employees or contractors, reducing the risk of data theft, sabotage, or other malicious actions.
Reference:
- CERT Division, Software Engineering Institute, Carnegie Mellon University. (2019). Common Sense Guide to Mitigating Insider Threats, 6th Edition. Retrieved from https://resources.sei.cmu.edu/library/asset-view.cfm?assetid=508099
1. Protection against data breaches: Robust data security measures, such as encryption, firewalls, and intrusion detection systems, can help protect sensitive financial data from unauthorized access. This reduces the risk of data breaches, which can lead to financial losses due to theft, fraud, or regulatory penalties.
Reference:
- Ponemon Institute. (2020). Cost of a Data Breach Report 2020. Retrieved from https://www.ibm.com/security/digital-assets/cost-data-breach-report/#/
2. Prevention of identity theft and fraud: Strong data security measures can safeguard personal and financial information, reducing the risk of identity theft and fraudulent activities. By preventing unauthorized access to customer data, organizations can minimize the financial losses associated with fraudulent transactions and the subsequent legal and reputational damages.
Reference:
- Federal Trade Commission. (n.d.). Identity Theft. Retrieved from https://www.consumer.ftc.gov/features/feature-0014-identity-theft
3. Compliance with data protection regulations: Implementing robust data security measures ensures compliance with data protection regulations, such as the General Data Protection Regulation (GDPR) in the European Union or the California Consumer Privacy Act (CCPA) in the United States. Non-compliance with these regulations can result in significant financial penalties and legal consequences.
Reference:
- European Commission. (n.d.). General Data Protection Regulation (GDPR). Retrieved from https://ec.europa.eu/info/law/law-topic/data-protection_en
- State of California Department of Justice. (n.d.). California Consumer Privacy Act (CCPA). Retrieved from https://oag.ca.gov/privacy/ccpa
4. Business continuity and disaster recovery: Robust data security measures include regular data backups and disaster recovery plans. In the event of a cyberattack, natural disaster, or system failure, these measures help organizations recover their data and resume operations quickly, minimizing financial losses associated with downtime and data loss.
Reference:
- National Institute of Standards and Technology (NIST). (2012). Guide for Cybersecurity Event Recovery. Retrieved from https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-184.pdf
5. Protection against insider threats: Robust data security measures also address insider threats, which can result in significant financial losses. Access controls, user authentication, and monitoring systems help detect and prevent unauthorized activities by employees or contractors, reducing the risk of data theft, sabotage, or other malicious actions.
Reference:
- CERT Division, Software Engineering Institute, Carnegie Mellon University. (2019). Common Sense Guide to Mitigating Insider Threats, 6th Edition. Retrieved from https://resources.sei.cmu.edu/library/asset-view.cfm?assetid=508099
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