CAIN-42 CAIN StudioThe niche: proof that a fix is real
Every software vendor that sells to bigger companies is asked to fix findings from security reviews and penetration tests, and increasingly to show proof. At the same time, more and more of those fixes are written by AI coding assistants. KEYSTONE sits exactly where those two trends meet: AI-written fixes that a sceptical buyer must accept.
Why this niche exists now
- AI coding assistants now write a large share of everyday fixes, and buyers know it.
- Enterprise security reviews increasingly ask "show me it is fixed", not "tell me it is fixed".
- Competing AI fixing tools hand back a code change and an explanation, not something a third party can re-run.
- Re-checking a fix by hand costs a senior engineer hours; a re-runnable record costs minutes.
What people use today, and where it falls short
| What teams do today | Where it falls short |
|---|---|
| A developer fixes it and writes "done" in the ticket | No evidence; the buyer must trust the vendor. |
| An AI assistant writes the fix and its own test | The same AI wrote both, so the test can be wrong in the same way as the fix. |
| Pay the pen-test firm to re-test | Slow and expensive; often weeks and a new invoice. |
| Screenshots of passing tests | Easy to fake; most security teams no longer accept them. |
What makes KEYSTONE different
- The detector and the independent test are not the AI: the model cannot mark its own homework.
- Fail-closed: if the independent test cannot run, the answer is NOT_VERIFIED and nothing is issued.
- The proof travels: the client's buyer re-checks it offline with no account and no CAIN code.
- We publish our own mistakes: an old record that would not pass today's rule is kept and flagged, not hidden.
How big is the opportunity?
Do not quote market-size statistics on a call. Most published figures are surveys or vendor estimates, and a smart buyer will ask for the source. Size the opportunity per prospect instead, with these questions:
- How many security findings did you have to fix last quarter?
- How many of your customers ask for proof of a fix, not just a statement?
- How long does it take your team to convince a customer that a fix is real?
- Do you use AI to write fixes today?
If the honest answers are "no" or "not yet", they are not a buyer today. Note it and move on; that is good selling, not failure.
Explain the niche in 30 seconds
Every software vendor that sells to bigger companies is asked to fix findings from security reviews and penetration tests, and increasingly to show proof. At the same time, more and more of those fixes are written by AI coding assistants. KEYSTONE sits exactly where those two trends meet: AI-written fixes that a sceptical buyer must accept.
KEYSTONE does not just say a bug is fixed; it hands over a sealed record that proves it, which the client re-checks without trusting us.
Practise saying this out loud until you can do it without reading. Then say it in your own words.
Words your buyers use
These are the phrases people in this niche type into search engines and use in posts and job ads. Use them to find prospects (page 3) and to talk their language:
security finding remediation pen test fix evidence AI code fix verification prove vulnerability fixed remediation evidence
Sell it together with
Buyers rarely have just one problem. When this product fits, these often fit too:
| Product | Why it goes together |
|---|---|
| FALSEWORK | finds the defects KEYSTONE fixes |
| VeriCoding (Z3) | proof for small critical functions |
| cain_audit deliverables | the audit that produces the findings to fix |
Rule: open with one product. Mention a second only after the first is agreed.
Next: who buys and where to find them →
FIRME AI CORPORATION · CAIN-42 is a Byzantine trust fabric. Numbers marked "our own check" were run by us, not by an independent party. Nothing on these pages is a certification.