As SQL Server databases become increasingly targeted by cybercriminals, it’s crucial to adopt proactive security measures. Traditional database security mechanisms, such as access controls, role-based permissions, and firewalls, are important but may not be sufficient to detect advanced threats or malicious insider activities.
In this tutorial, we’ll show you how to integrate AI-powered anomaly detection to enhance the security of your SQL Server environment. Using machine learning, this system can identify suspicious activity, unauthorized access, and potential breaches in real-time, providing an additional layer of defense. We’ll walk through the process of collecting data, building the model, integrating it into SQL Server, and deploying it for ongoing threat detection.
