Despite these challenges, the author believes AI has enormous promise for reshaping IAM and recommends starting with isolated use cases or applications, testing and verifying outputs, and deploying with human oversight using a co-pilot model. The goal is to find a balance that harnesses AI’s power while maintaining awareness of its limitations.
Key takeaways:
- Generative artificial intelligence (GenAI) can enhance identity and access management (IAM) by automating access control and policy management, making user provisioning more efficient, and automating risk analytics.
- AI can help in managing multi-cloud identity by automating the routine care of duplicate cloud identity systems and enforcing standard IAM configurations on each cloud platform.
- Despite its potential, AI has limitations such as being unproven, making mistakes with limited data sets, and the risk of intellectual property leakage.
- Organizations should exercise caution when applying AI to IAM by starting with isolated use cases, testing and verifying outputs, and deploying with human oversight.