No forms and no connector library: your AI does the work and you approve it¶
Ask anyone who has implemented a legacy GRC platform what the first three months looked like and you will hear about forms. Configuring the control library. Loading the framework crosswalk. Setting up the risk taxonomy, the ownership model, the review workflow, the evidence request cadence. Deciding which of the four hundred fields on the vendor entity are mandatory. None of that is compliance. It is the setup cost of a tool built for a world where humans typed everything in.
The connector library is the industry's answer to that cost. If the forms are the problem, automate the filling of the forms. It helps up to a point, and it brings its own bill: a standing credential per integration, a maintenance burden every time an upstream API changes, and a security surface your CISO has to sign off on. The forms are still there. They are just being filled by someone else's code.
Starting from the other end¶
We asked a different question. If your own AI can read your environment and draft the control, why does the control need a form at all?
In Kanonik, there are no screens for creating or editing compliance objects. The control, the policy, the risk, the mapping and the Statement of Applicability decision are all written by your model, working from what is actually deployed, and proposed into a typed record. If a proposal is wrong, the reviewer sends it back with a note and the model revises it. Nobody edits a field. The record is what your model drafted and your team accepted, and the history of how it got there is on the chain.
That removes three things at once. There is no data-entry phase, because there is nothing to enter. There is no connector library, because the reading happens on your side through the agent's own access. And there is no implementation project, because the framework content is already loaded and the skills already know how to use it.
The dashboard is deliberately small¶
A GRC platform's dashboard tries to be the place you do the work. Ours shows you what the work was.
It answers two questions. What did the AI do? Every proposal, verdict and write, with the reasoning attached and a link into the trace if you want to go deeper. And what is waiting for me? The proposals that need a person to accept them, with the verifier's verdict beside each one, so the decision takes as long as reading it.
Everything else you might expect from a compliance tool, the posture heatmap, the control coverage view, the board pack, the auditor narrative, is something your model produces on request from the record, not a page we built and maintain. That is a design rule, not a gap. Persistent screens for every report is how the legacy platforms grew to four hundred fields.
Frameworks are packages¶
The 17 frameworks Kanonik works with, among them SOC 2, ISO/IEC 27001, HIPAA, GDPR and NIST CSF 2.0, are versioned packages that load onto the same underlying controls and evidence. Nothing about the record is specific to one of them. Adding a second framework maps your existing controls to a second requirement set; it does not mean building a second program.
What we built instead¶
A lighter version of the GRC platform, with fewer forms and a friendlier color scheme, would still be a platform. We built the thing that makes the platform unnecessary for the team we serve: a record your AI writes into, a verifier that checks every change, an approval your team clicks, and a chain an auditor can verify. For a 50-person fintech with an audit coming, that is the whole product. For an enterprise with a GRC team of twelve, the legacy platform may still make sense, and we will say so.
Kanonik is security compliance software: one record for your questionnaires, audits and live assurance. See how a draft from your AI becomes part of your record, then start your 14-day trial.