Cross-Analysis of Results

Single-lens scanning can overlook critical synergies between code and infrastructure. Cross-Analysis correlates vulnerabilities from SAST, IAC, and SCA to reveal compounded or multi-vector risks.

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Real-World Examples

• Exposed Database
  If your code reveals a SQL injection possibility (SAST) and your infrastructure incorrectly exposes the DB to the internet (IAC), that combined risk is far higher than either alone.
• Dependency-Driven Attack
  A known vulnerable library (SCA) might become a bigger risk if your code doesn’t sanitize user input (SAST), forming an exploit chain.

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Planned Functionality

1. Unified Risk Score
   Group related vulnerabilities across scanners into a single “risk cluster,” with an elevated severity or priority if they intersect dangerously.
2. Dependency Mapping
   Visualize how a misconfiguration in one microservice might impact another, bridging code and environment.
3. Guided Remediation Paths
   Potentially highlighting which single fix—like restricting inbound traffic—could reduce multiple vulnerabilities at once.