Deploying machine learning models in the cyber security industry is complicated - especially with budget and technology limitations. Especially when it comes to anomaly detection, there's been much debate over privacy, balance, budget, robustness, cloud security and reliable implementation. For cyber security companies using machine learning technologies, ensuring clients' safety with trustworthy artificial intelligence (AI) must always be the primary objective.