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Non-AI Remediation

Not all security findings require AI-assisted remediation. For certain vulnerability types, BoostSecurity provides deterministic, well-established remediation guidance without relying on AI-generated suggestions.

This ensures remediation remains consistent, predictable, and easy to validate, especially for findings with industry-standard fixes.

When Non-AI Remediation Is Used

Non-AI remediation applies in the following scenarios:

  • SCA (Software Composition Analysis) findings Dependency vulnerabilities typically have known remediation paths, such as upgrading to a fixed version or replacing a vulnerable package.
  • AI remediation is disabled at the policy level
  • No supported AI provider is configured
  • Findings fall outside supported AI remediation categories

In these cases, BoostSecurity surfaces remediation guidance using predefined rules, vendor advisories, and vulnerability metadata.

What Non-AI Remediation Looks Like

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Instead of AI-generated comments, developers receive clear remediation instructions based on trusted sources such as CVE records, package maintainers, and security advisories.

Example: SCA Dependency Upgrade Guidance

Non-AI Remediation

  • Screenshot of a BoostSecurity finding showing:

    • Vulnerable dependency name
    • Current version
    • Recommended fixed version
    • Link to advisory or changelog

Why AI Is Not Used for SCA Findings

SCA remediation is intentionally excluded from AI-generated comments because:

  • Remediation steps are well-understood and deterministic
  • Fixes usually involve version upgrades or dependency replacement
  • AI-generated suggestions could introduce unnecessary variability or ambiguity

By relying on standardized remediation guidance, BoostSecurity ensures:

  • Consistent fixes across teams
  • Easier validation during reviews
  • Reduced risk of incorrect dependency changes

Combining AI and Non-AI Remediation

BoostSecurity supports a hybrid remediation approach:

  • AI remediation for:

  • SAST

  • IaC

  • Secrets

  • Non-AI remediation for:

  • SCA

  • Findings with known, repeatable fixes

This allows teams to benefit from AI where context and code understanding matter most, while maintaining reliability for dependency-based vulnerabilities.