About
Compliance became a reasoning problem. We built the trust layer.
For two decades, getting a framework to audit-ready was mostly a typing problem: read the requirement, write the policy, gather the evidence, repeat. Capable AI changes that. The reading, the drafting, and the assessment are now work a model can do well. What it cannot do on its own is make the result trustworthy. That is the part Kanonik builds.
The thesis
The AI does the reasoning. We make it defensible.
An answer that looks right is not the same as an answer you can stand behind in an audit. The gap between the two is where Kanonik lives.
From typing to reasoning
When a model can assess a control or draft a policy in minutes, the bottleneck moves. The hard question is no longer how to produce the work; it is whether you can prove how the work was produced, who approved it, and that it has not changed since.
Nothing lands without a human
A non-bypassable two-tier Verifier, rule then model, runs server-side inside every commit. A single-use, time-boxed, signed approval token gates every write. The AI proposes; a person approves; only then does it land in the record.
A record that cannot be quietly edited
Every change is an event in an append-only, hash-chained log signed with a FIPS-validated key, kept for seven years. An edited or deleted entry breaks the chain, and the break is detectable on verification.
What we are not
New-gen GRC, not a layer bolted onto the old one.
Kanonik replaces the GRC category for the organisations we serve. It is not a dashboard on top of a legacy platform, not a connector library, and not a workflow engine you have to administer. The canonical compliance model is the entire record, and the AI manages it through a signed skill library that you approve.
We are not building a Vanta or Drata clone. The bet is that the trust layer, not the tool, is what the AI era is missing.
Who operates Kanonik?
Kanonik is operated by Kanonik LLC, a Connecticut company. Kanonik acts as a sub-processor for the data you put in it, as the DPA sets out.
Whose AI runs the work?
Yours. Bring your own model key, and your AI provider stays your direct contractor, never one more sub-processor on your DPA. Supported providers are Anthropic Claude, OpenAI, AWS Bedrock, Google Gemini, and Azure OpenAI.
Who we are
A small team, building for the teams the old tools priced out.
Kanonik is built by a small, engineering-led team. We would rather ship something we can defend line by line than something that demos well and falls apart under an auditor's questions.
We build for lean teams: the founder, the engineer, or the fractional CISO who ended up holding compliance and cannot afford a six-figure platform or a department to run it. They still deserve a record that holds up. That is why Kanonik exists, and keeping the work human and mission-driven, with a real person behind every answer, is a deliberate choice rather than a stage we plan to grow out of.
Engineered to the FedRAMP Moderate standard from the first commit, with FIPS 140-3 validated cryptographic primitives in every security-critical path. Runs ISO 27001:2022, SOC 2, GDPR, NIST CSF 2.0, and HIPAA today.
The proof is the product.