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    Home»Security»MCP: securing the backbone of Agentic AI
    Security

    MCP: securing the backbone of Agentic AI

    TechurzBy TechurzAugust 4, 2025No Comments1 Min Read
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    From a clear trail to digital fog

    With classic REST APIs, security is tangible: Every call, every authentication and every input/output pair ends up in the audit log so that processes can be deterministically traced. MCP-based agents, on the other hand, only present the end result, why, on whose prompt or with which tool chain they got there remains hidden. This blind spot between intention and execution destroys any reliable threat model.

    Truly secure agentic workflows require telemetry, prompt history, context injections, tool selection and agent memory linked in real time. Without this deep insight, we are merely chasing the shadow of an autonomous decision engine. The question is not whether we need to create this visibility, but how quickly. Only then will MCP turn from a risk into a controllable advantage.

    CISOs must become aware of the threat situation, as current incidents show how diverse the attack surfaces of MCP are: In the “Toxic Agent Flow”, a prepared GitHub issue was enough to get an agent to copy confidential code from private repositories to public ones via indirect prompt injection, completely undetected.

    agentic Backbone MCP securing
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