Data protection requires maintaining data security, and data privacy is the responsibility to ensure that collected data is accessible, protected, and used responsibly. To ensure your data integrity and minimize the risks of data loss, measures must be implemented to keep your data secure. As shown in the below data protection system, certain strategies have to be followed to ensure that your business data is kept secure and well maintained: Data Encryption (data in use, data in transit, and data at rest), Data Backup to the Cloud, Password Protection, Identity and Access Management (IAM), Intrusion Detection and Prevention Software. As per the data protection system diagram, the incoming traffic dataset goes to attribute extraction, followed by data normalization. The pre-processing subsystem transfers the data to Compute Probability, Calculate Adaptive Threshold value using MAD.