The proof is the product™.
Legacy GRC was built for humans typing forms. We built the trust layer that makes AI-assisted compliance defensible from the first draft.
A non-bypassable Verifier on every proposal. A real signed approval gate. A tamper-evident audit trail your auditor can verify offline. Use the AI you already have.
A.5.1, 1,847 words, nine requirements covered.
A.8.32) verdict: effective for Q1, evidence chain complete, no gaps.
The mandate
That is the job. Kanonik checks every action your AI proposes against your approved rules with a non-bypassable Verifier, gates the consequential ones behind a real human approval, and writes each one to a tamper-evident audit trail your auditor can verify offline. The constraint is enforced before the change lands. The proof that it held is the record itself.
The Inversion
Legacy GRC made the human the worker and the tool the filing cabinet. Kanonik inverts it: the canonical model is the system of record, your own language model is the worker, and the Verifier, the approval gate, and the tamper-resistant log sit underneath where the model cannot route around them.
Compliance was once a typing problem. It is a reasoning problem now, and the work belongs to the language model. Kanonik is the trust layer that makes that reasoning defensible.
How it works
Sign up at kanonik.ai. Connect the AI you already have in one click. Pull our compliance skills on first sign-in. Ask your AI to draft a policy or assess a control. Approve the write. Your first audit-ready output lands the same afternoon. See the full six-step flow.
What you stop paying
A 60-person fintech running ISO 27001 today pays for a GRC platform license, a fractional consultant who fills it in, and the internal labor of audit prep. Three recurring line items. Here is what that stack looks like next to one Kanonik subscription.
The skill library
A generic AI knows a lot. It does not know how an ISO 27001 auditor reads a policy, how to assemble an audit narrative the regulator will accept, or what to do when a control evidence chain has a gap. Our skills are the expertise that turns a generic frontier model into a defensible compliance worker. We wrote them so you would not have to hire the person who knows.
kanonik-policy-architectDrafts information-security policies against ISO 27001:2022. Loads requirements, drafts the policy, runs the independent check, fires the approval, locks the document to the skill version that produced it.
kanonik-control-assessmentGiven a control and the evidence your AI can reach, produces a defensible verdict on whether the control operated as designed. Effective, partial, or ineffective, with the reasoning an auditor can replay.
kanonik-narrative-synthesisAssembles the auditor-ready account of how a control actually operated over a period. Linked evidence, reviewer attribution, signed reasoning. The deliverable your auditor reads instead of reconstructing it from fragments.
kanonik-audit-prepGiven a framework and a period, produces the full auditor bundle. Controls, narratives, evidence pointers, the verifiable trail, the skill-version manifest. The package the auditor needs, in the shape she expects.
In your own words
The Kanonik agent ships with a library of premade prompts. Click one, and your AI loads the matching skill and runs the task. The Verifier checks the proposed write. You approve with one click. The chain records the rest.
For the people sitting across the table
Every paid customer includes free read access for the auditor of record. You verify the chain offline with an open-source tool. You see the reasoning trace of every AI-produced artifact, version-pinned to the skill that produced it. You ask the customer to opt in to bounded autonomy at the rate you are comfortable with.
The trail is append-only, FIPS-signed, and lives outside the system being audited. There is no record the customer can change after the fact. You confirm what actually happened, not what someone wrote down later.
You have spent your career learning how an audit defense actually holds. That tacit knowledge becomes a tier-gated, signed, versioned skill. You bring the clients you already have onto Kanonik, and each one who runs your skill pays a margin you set. Design-partner consultants get in early.
You are not selling implementation hours against a platform. You are encoding your expertise in software, distributing it on our infrastructure, and getting paid every time it runs. Your client retains a relationship with you because your skill is the one that knows their stack.
The trust layer
Five layers. Your language model sits at the top; the tamper-evident audit log at the bottom. Between them, three layers it cannot bypass: the Verifier, the approval gate, and the canonical model. The full mechanism, the control mappings, and offline verification live on the security page.
About
I have been on the other side of an audit defense. I have watched a CISO try to explain to an external auditor where a control description came from when the answer was "an AI tool suggested it." That moment is what built Kanonik.
Governance and compliance is a workflow problem. Old-school GRC made it your workflow. We made it the AI's, and kept the receipts.Founder, Kanonik™
Kanonik is a small team. The trust layer, the core skills, and the cost-stack on this page have been used in production by our design partners since before there was a marketing page to put them on. They have broken the things that needed breaking, ignored the features that did not earn their attention, and named failure modes we would not have found alone. The shape of this work belongs to them.
We will not promise what we cannot defend in an audit. The next year is shipping the rest of what is named on this page.
We are at the point in the category where the work is no longer asserting that AI can do compliance. The work is showing the chain that proves what the AI did, when, with which version of which prompt, against which evidence, and which human approved it. The trust layer that does this is shippable today.
The proof is the product™.
