In a cybersecurity operation center, an organization is implementing an AI-driven anomaly detection system to enhance its security posture. The system is designed to analyze network traffic patterns and identify deviations from established baselines. If the system detects an anomaly that is classified as a potential threat, it triggers an automated response. Given that the system has a false positive rate of 5% and a false negative rate of 2%, calculate the probability that a detected anomaly is indeed a true threat, assuming that the actual rate of threats in the network traffic is 1%. Use Bayes\' theorem to derive your answer.