CapitalGuard fit
Teams that need evidence, report delivery, policy files, and a public verification path after review.
Policy comparison
CapitalGuard vs Internal AI Policy Checklist
When a checklist is enough and when a paid CapitalGuard license gives stronger evidence for AI-agent repository risk.
Internal checklist fit
Teams doing an early internal conversation before paying for a scan.
Price frame
The free risk check can start the conversation; a license turns it into a paid evidence workflow.
Decision matrix
Compare by first purchase, output, and next step.
Criteria
CapitalGuard
Internal checklist
Evidence
Creates a package-specific report flow and delivery record.
Depends on internal notes and whether the team documents what was reviewed.
Guardrails
Generates policy starters, protected paths, and practical prevention controls.
May stay conceptual unless someone translates the checklist into working rules.
When to use
Use when the repo is important enough to document and share a security packet.
Use before budget approval or when the team is still mapping who owns AI-tool policy.
Recommendation
Buy the license when the repo scope is clear.
Use the first CapitalGuard report to decide whether the buyer needs more scans, support, monitoring, or deeper manual work. The first purchase should clarify scope, not create subscription drag.
Starter, Growth, and Pro checkout links are live.
No repository scan starts without ownership or written authorization.
Reports redact sensitive values and explain safe prevention controls.
Related comparisons
Keep comparing before checkout.
Subscription comparison
CapitalGuard vs Monthly Security Tools
When a one-time AI-agent exposure license is cleaner than adding another monthly security product before the repo risk is known.
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CapitalGuard vs Manual Security Review
When to buy a fixed-scope AI-agent exposure license before commissioning a slower manual security engagement.
Read comparisonScanner comparison
CapitalGuard vs Generic Code Scanners
Why AI-agent exposure review is different from ordinary code bug scanning, dependency scanning, or static analysis.
Read comparison