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Database Risk Management

Database Risk Management Assessments and Planning

Threats to a database can come from any direction and in any form, whether human error, natural Disasters, hardware failures, or even simple misunderstandings. Effective database risk management and risk mitigation need to cover all possible threats, including information theft, by either preventing it or having a reaction plan in place if it occurs, thereby restricting the loss. Living in the Information Age means the very survival of a business is dependent on the information they have and the availability of that information.

RDB will assess your database environment and implement procedures and practices that will mitigate virtually any database risk. RDB makes use of its own in-house developed procedures as well as features built into the database software, such as Flashback Technology, Log Mining, RAC, Logical and Physical DataGuard, Auditing, as well as foolproof backup and recovery strategies.

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Data Management and Risk Intelligence

Effective data management plays an important role in strengthening your organization’s overall security posture. At RDB Consulting, our database risk management services are aligned with best practices in data quality, data security, and regulatory compliance, ensuring your systems meet the highest standards. By integrating structured workflows and applying advanced analytics, we help businesses detect vulnerabilities early, streamline database risk assessments, and unlock competitive advantage. Our consultants also explore the potential of machine learning to identify patterns and support proactive risk management database strategies that evolve with your business.

The Following Areas Are Covered by RDB’s Database Risk Management:

  1. Backup and Recovery strategies.
  2. RAC design and implementation.
  3. DR thought DataGuard implementation and automation for both physical and logical standby databases.
  4. HA (High Availability) database design and setup.
  5. Vendor HA product consulting in partnership with the vendor.
  6. Database Resource Manager set-up, implementation.
  7. User SLA configuration and implementation.
  8. User security management (passwords, roles, profile).
  9. Database security management.
  10. UNIX security consulting.
  11. Fine-grained access control.
  12. DDL triggers for auditing and reporting.
  13. SYS or DBA auditing and reporting.
  14. Flashback recovery and query protection procedures.
  15. Log Miner protection procedures.
  16. Change control procedures
  17. Test/UAT environment management – a true reflection of production
  18. Test/UAT security
  19. Archiving strategies
  20. Performance Tuning

So true are the old adages “An ounce of prevention is worth a pound of cure” and “Prevention is better than cure.”

Your Data Risk Management Questions Answered

A risk management database is a structured system used to store, track, and analyze data related to risk events, assessments, controls, and mitigation strategies. It supports informed decision-making by organizing critical risk information in one central location.

The four main types of risk management are:

  1. Avoidance – Eliminating the risk entirely
  2. Reduction – Minimizing the impact or likelihood of the risk
  3. Transfer – Shifting the risk to a third party, such as through insurance
  4. Retention – Accepting the risk and budgeting for potential impact

Risk in a database refers to any potential threat to the confidentiality, integrity, or availability of the data it contains. This includes unauthorized access, data corruption, hardware failures, or loss due to inadequate backups.

Data is used in risk management to identify potential threats, analyze trends, assess the likelihood and impact of risks, and monitor the effectiveness of controls. Reliable data enables better forecasting, planning, and decision-making.

  1. A data risk assessment typically involves:
  2. Identifying critical data assets
  3. Evaluating potential threats and vulnerabilities
  4. Assessing the likelihood and impact of each risk
  5. Prioritizing risks
  6. Developing mitigation or response strategies
  7. Monitoring and reviewing over time

Yes, risk can be measured using data by analyzing historical incidents, calculating probability, assessing potential impact, and quantifying exposure. Data-driven metrics help organizations better understand and manage their risk profile.

Analytics-Driven Strategy and Audit for Secure Data Management

Conducting regular analysis of your database environment is essential to effectively manage data, minimize risk exposure, and strengthen your overall management strategy. At RDB Consulting, we apply proven methodologies to support data protection, enforce due diligence, and ensure compliance with industry standards. Contact us and let our experts help you secure your critical information assets with our database risk management services.

With RDB you are guaranteed of comprehensive DBA support for your most important systems and databases, without having to hire a fulltime DBA yourself.

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