Securing Data for Enterprise AI Agents
imtiaz_py · reddit · 2026-07-15
While exploring AI agents, MCP, and workflow automation tools, the author poses a critical question for enterprise adoption: how should data security be handled when agents need to access internal business data from ERP, CRM, inventory, or sales systems?
Specific concerns raised include:
- Whether cloud-based LLMs (Anthropic / OpenAI / Gemini, etc.) will directly interact with sensitive business data.
- If there is a preference for local or self-hosted models for sensitive use cases.
- If the standard practice is to let the application layer or MCP server handle business logic, sending only minimal context to the model.
- How permissions, auditing, and access management are typically designed in production environments.
Ultimately, the post seeks input from teams with production experience to share real-world architectural patterns and best practices.
Related event: Secure Approaches for Enterprise AI Agents Accessing Production Data(2 posts)→
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