📌 Data Integrity Monitoring Summary

Data integrity monitoring is the process of regularly checking and verifying that data remains accurate, consistent, and unaltered during its storage, transfer, or use. It involves detecting unauthorised changes, corruption, or loss of data, and helps organisations ensure the reliability of their information. This practice is important for security, compliance, and maintaining trust in digital systems.

🙋🏻‍♂️ Explain Data Integrity Monitoring Simply

Imagine keeping a diary and checking every day to make sure nobody has erased or changed your entries. Data integrity monitoring is like this, but for computer data. It makes sure information stays correct and safe, just as you left it.

📅 How Can it be used?

Data integrity monitoring can be used in a healthcare system to ensure patient records are not tampered with or accidentally changed.

🗺️ Real World Examples

A bank uses data integrity monitoring tools to track changes in its transaction databases. If someone tries to alter a customer’s balance or transaction history without proper authorisation, the monitoring system detects the unusual activity and alerts the security team so they can investigate and prevent fraud.

An e-commerce company monitors the integrity of its product inventory data to quickly spot and fix accidental deletions or errors caused by software bugs or human mistakes, ensuring customers see accurate stock levels.

✅ FAQ

Data integrity monitoring is important because it helps organisations make sure their information stays correct and trustworthy. If data is changed without permission, gets lost, or becomes corrupted, it can cause problems for businesses, from incorrect decisions to legal issues. By keeping a close eye on data, organisations can spot problems early, protect their reputation, and make sure they meet any rules or standards they need to follow.

Data integrity monitoring works by regularly checking data to see if anything has changed that should not have. This can involve automatic tools that watch for unusual activity, alerting people if something looks wrong or if data does not match what it should be. It can also include regular checks, like comparing copies of data or reviewing logs, to make sure nothing has gone missing or been tampered with.

If data integrity is not monitored, mistakes or unauthorised changes can go unnoticed, leading to unreliable or even harmful information being used. This could mean anything from financial errors and poor business decisions to data breaches or failing to meet legal requirements. In the end, not monitoring data integrity can damage trust and cause serious issues for any organisation.

📚 Categories

• Cybersecurity
• Data Governance
• Information Governance

🔗 External Reference Link

Data Integrity Monitoring link

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