Two ways AI agents leak enterprise data, and how to close both

AI agents create two main enterprise data-leak risks: sending sensitive information to external AI providers and exposing data that users are not authorized to access through overly broad permissions, stale access, or privileged service accounts. Existing controls such as browser extensions, network DLP, no-training contracts, endpoint gateways, and periodic DSPM scans are portrayed as incomplete because they often lack coverage across workflows, cannot interpret encrypted or structured data in real time, or focus on data at rest rather than agent-driven data movement. The proposed approach combines an MCP gateway that controls which data sources and tools agents can access and applies per-user identity with real-time data classification and policy enforcement that can block or redact sensitive fields during tool calls. MintMCP and Teleskope present their partnership as an implementation of this architecture, designed to govern agent access and prevent unauthorized or sensitive data from reaching users.

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