Utilizing AI and ML in FICAM Environments

This whitepaper discusses the application of artificial intelligence (AI) and machine learning (ML) within Federal Identity, Credential, and Access Management (FICAM) environments. It defines AI as the broader concept of machines performing tasks associated with human intelligence, while ML is described as a subset focusing on the ability of machines to learn from data without explicit programming. The document outlines various use cases for AI/ML in FICAM, including identity lifecycle management, cyber threat analysis, monitoring risks, automating customer service, and enabling digital workers. It also details the deployment of ML algorithms, emphasizing the importance of selecting appropriate tools and addressing challenges such as data aggregation and privacy. The conclusion highlights the interconnectedness of AI and ML, the need for proper data evaluation, and the significance of adopting consistent AI standards across federal agencies. The National Institute of Standards and Technology (NIST) AI Risk Management Framework is mentioned as a resource for managing AI risks.