How does AI enhance the detection of data tampering in large datasets?

Artificial Intelligence (AI) enhances the detection of data tampering in large datasets to ensure integrity through various techniques such as anomaly detection, pattern recognition, and predictive analytics. AI algorithms can analyze vast amounts of data to identify irregular patterns or deviations from the expected behavior, which may indicate data tampering. Additionally, AI can help in implementing security measures like encryption, access controls, and monitoring mechanisms to prevent and detect tampering attempts more effectively. By leveraging machine learning and AI-powered tools, organizations can strengthen the security of their data and improve their ability to detect and respond to potential integrity threats in large datasets.