Organizations can start by adopting Microsoft Security Copilot, which leverages generative AI to assist cybersecurity teams. This tool helps identity professionals manage the increasing number of identity attacks—over 4,000 per second—by automating routine tasks and improving efficiency. Early adopters have reported a 44% increase in efficiency and an 86% improvement in work quality. To maximize the benefits, teams should build a prompt library for common tasks and ensure consistent use of AI tools.

Least privilege access is a security principle that ensures users have only the permissions necessary to perform their tasks. To enforce this in AI applications, organizations should apply the same governance rules used for other corporate resources. This involves using identity governance solutions like Microsoft Entra ID Governance to define granular access policies, automate access lifecycle management, and ensure that only authorized users can access sensitive data, thus reducing the risk of insider threats and data leakage.

Organizations should adopt a multi-layered security approach that includes implementing phishing-resistant multifactor authentication methods, such as biometrics and cryptographic tokens. Additionally, using machine learning-powered identity protection tools can help detect unusual user behavior and respond to risk signals in real-time. Continuous access evaluation (CAE) should be employed to manage user access dynamically, ensuring that security measures adapt to the evolving threat landscape.