Permission-safe retrieval layer for enterprise AI agents with access governance

Permission-safe retrieval layer for enterprise AI agents with access governance targets a $6.0B = 100,000 enterprises × $60K ACV total addressable market with medium saturation and a year-over-year growth rate of 25% YoY — based on enterprise AI adoption and data security spending growth reported by industry analysts (Gartner/Forrester aggregate estimates).

Key trends driving demand: AI agents are moving from prototypes to production across enterprise functions, increasing demand for runtime safety controls — this creates a market for permission-aware retrieval.; Regulatory and board-level scrutiny of AI and data privacy has accelerated, making auditability and policy enforcement a procurement requirement for security teams.; Adoption of vector databases and RAG architectures standardizes retrieval points, enabling a middleware permission layer to integrate and add value.; Shift to API-first tooling and microservices lowers the integration threshold, so a well-documented API and SDK can achieve fast adoption among engineering teams..