The verification layer for AI-assisted compliance

Drop a Verifier
between your AI and your GRC tool.

Propose. Verify. Approve. Commit. Every step cryptographically hashed into the next.

Every proposal that reaches the Verifier, and every verdict, approval, and commit that follows, captured as a signed, hash-chained record. Conversation stays private; submission is recorded. Live in twenty minutes.

Or write to us at [email protected].

NIST AU-10 (non-repudiation) by architecture EU AI Act Article 12 traceability by design Portable by design. Your chain is yours. Bring your own model key. The LLM provider stays your direct contractor.
A layer on top of the GRC tool you already own
Eramba live
Roadmap: Vanta, Drata, Hyperproof, ServiceNow GRC, RSA Archer, OneTrust, AuditBoard.
"
AI can do the mechanical parts of compliance.
Kanonik gives your auditor the chain of custody to defend it.
Eugene V. - Founder, Kanonik
Audit-defensibility, by architecture - every AI-assisted change passes all four
Your AI
proposes
Verifier
rules + LLM cross-check / NIST AU-12
Approval gate
signed / out-of-band / NIST AU-10
Your GRC tool
commit + hash chain / NIST AU-11
Deployment

A layer on top of your stack.
Not a replacement for it.

Kanonik runs as managed SaaS between the AI you already use and the GRC tool you already pay for. No platform migration, no agent to install in your infrastructure, no cluster to operate. Onboarding is a seven-step wizard. Most teams complete it in twenty minutes.

Your model

Bring your own model API key: Anthropic, OpenAI, Bedrock, Gemini, or Azure OpenAI. Your session runs in your environment in any MCP-capable client. Kanonik never sees your model account, conversations, or usage. Your AI provider stays your direct contractor; we never become a layer between you and them.

Your GRC tool

Eramba connector live today. Vanta, Drata, Hyperproof, and ServiceNow next. Authorize with a bot-user API token; we provide the setup script.

Our Verifier

Independent server-side validation between every AI proposal and the GRC commit: deterministic rules, LLM cross-check, signed approval gate, cryptographic chain. The audit-defensibility primitive no incumbent ships.

Your MCP-capable client connects via a small Go binary (kanonik-mcp-proxy) installed on your machine. One file, one config. Signed releases, reproducible builds. Self-hosted single-tenant deployment for sovereignty-sensitive customers ships in a later phase.

The problem AI created

AI can draft compliance evidence.
But auditors won't accept "the model said so."

Most GRC managers we talk to describe the same week: control mapping, evidence drafting, framework cross-walking - and most of that work, an AI can do in minutes. The capability is there. The defensibility isn't. Without provenance, AI-assisted compliance is a liability, not a productivity tool.

AI bolted onto a GRC platform
  • Same model that wrote the answer also grades it - no independent check
  • Approval is in-chat, ungated, unsigned: fails NIST AU-10 by design
  • Audit logs the platform writes are logs the platform can also rewrite
  • "Trust the vendor" instead of "verify the chain"
  • EU AI Act Article 12 satisfied "by policy mapping" - not by architecture
Kanonik verification layer
  • Independent Verifier on every proposal - rules + a separate LLM cross-check
  • Signed, OIDC-bound approval gate: NIST AU-10 by architecture, not by policy
  • Hash-chained, FIPS-signed audit log your auditor can verify offline
  • EU AI Act Article 12 traceability: by design, mapped paragraph by paragraph
  • Sits on top of the GRC tool you already pay for; no migration
The architectural moat

An independent Verifier on every AI-assisted change. No incumbent GRC platform does this.

Server-side, non-bypassable. Rule-based checks plus an independent LLM cross-check. Every change carries its verdict, reasoning, and approval into a hash-chained audit log: the same chain-of-custody an auditor demands of every other control in your system. "Trust us" was never on the table. Hard to retrofit onto log-based GRC architectures that satisfy non-repudiation by policy, not by design.

control_id_exists
-> A.5.1
scope_in_tenant
-> tenant_acme
confidence ≥ 0.80
-> 0.92
llm_cross_check
-> independent
Every other approach to AI in compliance looks like a promise instead of a proof.
Propose#a4f2c1
Verify#e91b7d
Approve#c30f9a
Commit#7d2e4f
Audit trail

A FIPS-signed chain your auditor verifies offline.

Every proposal, verification, approval, and commit is hashed and chained into a per-tenant audit log signed with ECDSA P-384. Your auditor downloads the export bundle and verifies the chain with an open-source binary. No need to contact us. NIST AU-10 (non-repudiation), AU-11 (retention), AU-12 (generation), and EU AI Act Article 12 traceability satisfied by architecture.

The proof is the product.

Channel architecture

The auditor is the next sale.
We do not charge them for it.

Every paid tier includes free read-only access for the auditor of record. They verify the chain offline with our open-source binary. They produce workpapers without contacting us. They sign off on a clean compliance program.

Then they evaluate the next client. Then the next. The recommendation path is built into the pricing.

Frameworks

The standards your auditor will check.

ISO/IEC 27001:2022 control mapping ships today. SOC 2 Type II, NIST CSF 2.0, and the EU AI Act / ISO/IEC 42001 framework pair land next.

ISO
27001:2022
● Shipping
SOC
2 TSC
NIST
CSF 2.0
800
SP 800-53
● Roadmap
HIPAA
Security Rule
● Roadmap
PCI
DSS 4.0
● Roadmap
GDPR
EU
● Roadmap
42001
ISO AI MS
● Roadmap
Beyond the audit trail

The same primitives, applied wider.
Not features bolted on later.

Once a Verifier sits between your AI and your GRC tool, the architecture decisions you would want for adjacent workflows are already made. The roadmap determines when each capability turns on; the foundation is what lets them ship without a rebuild.

Stand up a new GRC instance.

Populate a fresh GRC with controls, framework mappings, and baseline evidence by walking an AI through the structure. The Verifier validates each proposal; you approve in batches; the audit trail covers the bootstrap itself. Available with Eramba today; with each connector as it ships.

Your audit chain spans the transition.

When source and destination connectors both exist, the canonical model lets you read your compliance program out of one GRC tool and commit it into the next; the hash-chained evidence spans the transition uninterrupted. The chain you handed to last year's auditor stays valid after you have moved tools. Switching is no longer the price of leaving a platform that no longer fits.

AI compliance evidence your auditor will defend.

Founding Customer cohort enrolling now. Three charter spots open this quarter: founder-led onboarding, twelve-month price protection, DPA signed at onboarding. Tell us about your stack and we will be in touch.

The proof is the product.