In cybersecurity and artificial intelligence, a confidence threshold is a predefined level of certainty that a system, such as a chatbot or machine learning model, must reach before taking a specific action or providing a response. If the system’s confidence in its answer or classification falls below this threshold, it may escalate the inquiry to a human operator, request clarification, or refrain from acting to avoid errors. Setting an appropriate confidence threshold helps balance automation with accuracy and risk management, ensuring that only sufficiently reliable responses are delivered to users.