The math

The cost of a finding

$263 $128 $7 per finding

Even with semi-automated patching, each finding still costs about $128 in human time. Kanonika takes it to roughly $7 — a 97% cut by the time the loop closes.

Fully manual

3.1 hrs · $263

Scanner → ticket → hands

  • Triage and prioritize the finding
  • Research the fix — CVE, patch, impact
  • Write or locate a remediation script
  • Test the fix in staging
  • Execute in a production change window
  • Verify the vulnerability is resolved
  • Document evidence for the audit

Semi-automated

1.5 hrs · $128

Defender + Intune + your scripts

  • Patch push is automated — for what's in scope
  • You still execute the long tail and exceptions
  • You still verify each fix actually resolved
  • You still assemble the audit evidence
  • Scripts and policies still need building and upkeep

With Kanonika

5 min · $7

One governed loop

  • Ingested, normalized, and mapped to controls — automatically
  • Fix planned and executed — automatically
  • Outcome verified by a re-scan — automatically
  • Evidence recorded to an immutable ledger — automatically
  • A human approves in ~5 minutes — only if you want the gate

Even semi-automated workflows leave a gap between the tool that finds the issue and the one that fixes it — bridged by people and brittle scripts ($340–$680 to build, hours a month to maintain). Kanonika governs across the tools you already run and closes that gap, with verification and proof built in.

At scale

Manual cost grows. Kanonika's stays fixed.

Manual remediation cost scales with every new finding. Kanonika's cost is fixed — so the return widens as you grow.

Findings / monthManual remediation costAnnual savingsReturn
50$158K / yr~$98K2.6×
200$631K / yr~$451K3.5×
500$1.58M / yr~$1.13M3.5×
1,000$3.16M / yr~$2.71M

A team clearing 200 findings a month spends roughly $631,000 a year on manual remediation labor — about 3.7 full-time engineers — before counting audit-prep costs Kanonika eliminates entirely.

Modeled at an $85/hr blended security-engineer rate, assuming 60% new findings ($263 each) and 40% recurring ($128 each). Savings and return are shown against list pricing — conservative; actual return is typically higher. Illustrative, not a guarantee.

Worth closing the loop?