The client is seeking a behavioural threat detection solution that incorporates Machine Learning (ML) and/or Artificial Intelligence (AI) capabilities. The proposed solution must facilitate early identification and mitigation of cybersecurity threats such as phishing, account takeovers, and vendor impersonation by utilizing advanced detection methods, including behavioural analytics, language-based analysis, anomaly detection, and contextual identity modeling.

The solution should be cloud-native and capable of automated responses to actionable threat insights obtained through behavioural and contextual analysis. Additionally, it must demonstrate an ability to adapt and 'learn' from its threat detection activities over time, continuously improving its efficacy.

A comprehensive feature set is required, encompassing Mobile Device Management (MDM), asset inventory, patch management, and other forms of endpoint device control to ensure broad protection and responsive management of enterprise assets.