Secure generative AI for the enterprise requires the right permissions structure

This post details how Glean ensures enterprise-readiness for generative AI by prioritizing a robust permissioning structure. It explains the importance of permission awareness for AI assistants, adhering to the principle of least privilege, and handling complex, nuanced permissioning across diverse datasources. The post highlights challenges like API rate limits, data freshness, and the cost of indexing individual document permissions, advocating for a unified permissions model. It also discusses edge cases in datasource permissions (e.g., GDrive's public visibility after visit, temporary access, non-flattened criteria) and the engineering effort required to build a resilient system that accounts for these complexities at scale.