Comparison / Different jobs
Keep your sensors. Connect the decisions.
Hyperoru is an architecture intelligence layer for reconciling evidence, not a claim that one product should replace every scanner or cloud control.
Category map
Start with the operational question.
This comparison avoids product scorecards. It explains where each category is strongest and how its evidence can contribute to a shared architectural model.
| Category | Primary job | Strongest when | Relationship to Hyperoru |
|---|---|---|---|
| Hyperoru | Reconcile technical evidence into architectural truth and decision context | Teams need provenance, paths, contradictions, history, and governed review in one model | Scanners, repositories, CI/CD, cloud sources, uploads, and MCP evidence |
| Code security platforms | Find and help remediate code, dependency, and secret vulnerabilities | Developers need high-signal feedback in code and pull request workflows | Hyperoru consumes and contextualises scanner observations instead of replacing the scanner |
| Cloud security platforms | Discover cloud assets, posture, exposure, identity, data, and runtime risk | Security teams need broad cloud inventory and attack-path context | Hyperoru can reconcile cloud evidence with code, CI/CD, architecture intent, and review history |
| Repository-native security | Protect code and dependencies inside the source-control workflow | A team wants scanning, alerts, and fixes close to repository activity | Hyperoru adds cross-source architecture context and a durable decision record |
Rules for a fair comparison.
No replacement claim: keep the scanner or cloud platform that produces useful evidence.
No feature-count scoring: compare the operational question each category is designed to answer.
No fabricated benchmark: publish the dataset, versions, failure rules, and raw evidence before results.
No clean verdict from missing data: absence remains a visible coverage gap.
Primary sources used
Capabilities change. These links point to each provider's current description rather than a frozen marketing claim.
Evaluate the missing layer in your current toolchain.
Bring one repository, one architecture question, and the scanner evidence you already trust. We will show what the shared context adds.