[KongchangAI]
Person

Jonathan Melton

Founder of FusionAL, focused on permission configuration for AI agents and MCP tools in regulated systems.

Timeline (last 90 days)

Oct 18

Deciding what the session can do before reading any untrusted content is a more effective control than model filtering.

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Oct 18

Melton suggested a low-cost test: append an instruction at the end of a harmless document asking the assistant to do something it should not do in an execution summary, and observe the tool calls, in order to distinguish permission configuration problems from model capability problems.

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Oct 18

Reading a document should not grant the document's author any authority—this is the core idea of permission isolation.

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Oct 18

According to security researcher Jonathan Melton's analysis, the root cause of prompt injection lies in the design of session permissions, not in the model not being smart enough.

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Oct 18

According to Melton's observation, in regulated environments system integration is often done once by IT, and subsequent tasks reuse the same set of credentials and tool list—that is, the "configure once, permanently wide open" connection pattern is especially common.

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Oct 17

Jonathan Melton recommends that law firms, before deploying AI assistants, must verify whether the permission enforcement logic at the retrieval layer is consistent with the interface layer.

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Oct 17

According to FusionAL founder Jonathan Melton's observations, the permission configuration problem when AI agents and MCP tools connect to regulated systems is becoming increasingly prominent.

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