Annotation as a Service (AaaS) refers to outsourced solutions that provide human-driven labeling, tagging, and validation of data, primarily for training artificial intelligence and machine learning models. These services enable organizations to efficiently process large datasets by leveraging external teams or platforms specializing in accurate data annotation. AaaS providers often offer expertise in labeling various data types, such as images, text, audio, or video, ensuring high-quality, consistent, and scalable annotations. This approach is particularly valuable for cybersecurity applications, where precise data labeling is crucial for training models to detect threats, classify malware, or identify anomalies. By utilizing AaaS, companies can accelerate AI development, maintain data privacy standards, and reduce the operational burden of in-house annotation.