AI Safety Monitoring is the continuous process of observing AI systems to ensure they operate safely, reliably, and as intended. It helps detect harmful outputs, unexpected behavior, security threats, bias, privacy risks, and performance issues.
By continuously analyzing model inputs, outputs, and system activity, safety monitoring can identify risks early and trigger alerts or human intervention. This creates an essential safety layer that helps organizations maintain trustworthy, secure, and responsible AI in real-world applications.
