Guides
Seven articles on how Kanonik applies these ideas, what they are good for and where their limits are.
- Bring your own model for compliance
Your company may already have reviewed, approved and paid for an AI service. BYOM lets you build on that decision instead of adopting a second assistant simply to do compliance work.
- Working with your AI through MCP
Your AI can do more when it can use your business tools. A shared standard lets you connect it to Kanonik instead of adopting a separate assistant for every job.
- Checking AI work and keeping approval with people
AI can prepare useful work without every suggestion becoming an accepted company position. Reviewers need a clear difference between a draft and a decision.
- One compliance record across models and frameworks
Different versions of the same control, risk or policy do not have to be maintained in several places. A change is easier to assess when the related information belongs to one program.
- Keeping evidence-linked answers fit for reuse
An answer is easier to reuse when a colleague can find what supports it without repeating the original research.
- Checking an audit record outside Kanonik
A recipient can check that an exported audit history has not changed since it was signed, instead of relying only on the sender's word.
- Reviewing change and keeping assurance current
A proposed vendor, tool or data-use change can affect commitments already made. Reviewing those relationships before accepting a change helps the team find the questions that need an owner.