How Kanonik compares on automation

Kanonik is not less automated than the big platforms. Bring-your-own-model means your automation ceiling is the best frontier model, rather than a vendor's fixed in-house agent. The approval gate gives you defensibility, with little friction.

The question usually comes from comparing Kanonik to legacy compliance automation tools, which run their own in-house agent to collect evidence and map it to controls. It is a fair question, and the answer is in where the automation actually comes from.

Your ceiling is the model

Those tools run one agent that the vendor built and cost-manages across their whole customer base. Whatever that agent can do is your ceiling, and it moves at the vendor's pace.

Kanonik runs on the frontier model you already use: Claude, OpenAI, Gemini, AWS Bedrock, or Azure OpenAI. Your ceiling is the best model available to you, and it rises every time the model behind it improves, with no work on your part.

The approval gate is the point

Kanonik does not silently apply what the model produces. Every change runs through a non-bypassable, server-side Verifier, then waits for a single-use, signed approval from a named person before it lands. That is provable human oversight, and it is exactly what stands up in an audit when the reasoning was done by AI. Black-box autonomy is the thing an auditor is skeptical of; a recorded approval bound to the exact change is the thing that answers the skepticism.

Kanonik holds no keys to your systems

The automation platforms hold standing credentials into your cloud, identity provider, and repositories so their agent can collect evidence. Kanonik holds none of your cloud or source-system credentials. Your own AI reaches your systems through its own tools and its own access, and Kanonik only ever receives what your AI proposes to write into your record. Your systems stay yours, and there is no third-party credential surface to secure.

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