CapitalGuard fit
Teams worried about what coding agents can read, edit, run, summarize, and expose.
Scanner comparison
CapitalGuard vs Generic Code Scanners
Why AI-agent exposure review is different from ordinary code bug scanning, dependency scanning, or static analysis.
Generic code scanners fit
Teams looking for known vulnerability patterns, dependency issues, and code-quality defects.
Price frame
CapitalGuard sells the agent-exposure review as a fixed license instead of another broad scanner seat.
Decision matrix
Compare by first purchase, output, and next step.
Criteria
CapitalGuard
Generic code scanners
Risk model
Focuses on dangerous files, prompts, workflows, secret exposure patterns, and agent permissions.
Focuses on known code bugs, dependency issues, or generalized static findings.
Report language
Explains how an AI agent could expose the issue and what business impact follows.
Often describes technical defects without agent-specific exposure context.
Prevention output
Policy starter, safe-use checklist, and firewall-style guardrail installer.
Usually leaves policy and agent workflow controls to the buyer.
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.
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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.
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