Tool-level sandboxing for RAG agents - governance and isolation

Executive Summary

RAG and agent workflows expose tools as attack surfaces. Provide per-tool sandboxing, permissioning, and audit logs so LLMs can safely call execute-query and other actions without leaking data or breaking compliance. RAG and agent patterns are becoming standard in production pipelines, increasing the frequency of tool calls and surface area for data leakage. The source notes RAG as the perfect example where simple DB connectivity is insufficient, and Stage 1 validation shows monthly recurrence and strong payer signals tied to compliance and ops risk, indicating buyers already recognize this gap. Additionally, modern agent frameworks and function calling make it technically feasible to intercept and enforce policies at the tool level, creating a narrow window to ship an enforcement plane before teams build ad hoc workarounds. Provide a developer-first sandboxing layer that attaches to agent runtimes and tool adapters, enforcing per-tool policies, runtime isolation, and immutable audit trails. By integrating with popular agent frameworks (LangChain, Agentic SDKs) and enterprise identity and secrets stores, the product becomes the single enforcement plane for all agent tool calls, offering faster time-to-compliance than bespoke internal solutions. The source explicitly calls out that RAG isnt enough and that tool-level isolation is required, showing a direct workflow need for this product.