AI review & fixes
What is AI triage?
Using a model to assess which raw findings are real and worth acting on, and suppressing or deprioritizing the rest.
Scanners over-report by design, since they would rather flag a maybe than miss a real issue. Triage sits on top, reading each finding in the context of surrounding code to judge whether it is genuinely exploitable or reachable.
It is a direct answer to one of the main reasons security tools get abandoned. The risk is symmetrical: a triage layer that wrongly suppresses a real vulnerability has done more damage than the noise it removed, so look for transparency over silent filtering.
What to look for
- Whether suppressed findings remain visible and auditable
- Explanations for each triage decision rather than a bare confidence score
- Measured false-negative rate, not just noise reduction claims
- Whether triage decisions can be overridden and learned from
Best 18 code quality, security and code review tools with AI triage
Every tool in the directory whose documentation covers this, 13 fully and 5 partially. Full support is shown first. Shown in a random order that changes on every visit, so no tool gets an advantage from its position.
Support is not the same as parity, since some implementations are narrower in scope, gated to a higher plan tier, or maintained only for existing customers. The note under each tool is what its own documentation describes.
Code Security Platform
AutoTriage ranks by exploitability, effort, false-positive probability; Secrets AutoTriage included
AI Coding Agent
Cloud validates findings in isolation before surfacing; CLI accepts false-positive marks.
Code Security Platform
Per-project 'AI Triage & Remediation' auto-analyzes eligible new vulnerabilities during PR scans; triage predicates persist across scans.
AI Coding Agent
Independent verifier agents reproduce findings before reporting, in Code Review, ultrareview and Claude Security.
Code Quality Platform
AI scores false-positive likelihood with reasoning; opt-in, enabled via support request.
PR Review Tool
Suggestions threshold controls alert sensitivity; cloud findings prioritized by attack path and exploitability
PR Review Tool
Deep Scan Verify stage rejects duplicate, mitigated, speculative, test-only findings; Learnings suppress noise
Code Security Platform
AI classifies findings as false positive with reasoning; AST fingerprinting dedupes across scans
Code Quality Platform
Narada model filters false-positive secrets (Team+); AI Review has a dedicated false-positive reporting flow.
Code Security Platform
Dependabot default and custom auto-triage rules filter false positives; curated rules, not documented as AI
PR Review Tool
Learning suppresses consistently-ignored comment types; security, leaks, null derefs never suppressed
Code Security Platform
Autotriage recommends safe-to-ignore with explanation; noise filtering (beta) suppresses likely false positives; consumes credits.
Code Security Platform
Triage Assistant checks exploit conditions for Java Gradle/Maven on GitHub only; reachability de-prioritizes unreachable vulns.
Code Quality Platform
Prioritizes by organizational impact to avoid treating all issues equally; ML ranks review risk. Not false-positive filtering
AI Coding Agent
Severity threshold, max-comment cap and ignore_patterns tune noise; no false-positive triage documented.
Code Quality Platform
Manual triage rules and ignore reasons; aggregated non-identifying data trains smart issue prioritization and grouping
PR Review Tool
Finding Recommendation Agent scores finding relevance from PR history; in beta on paid plans.
Code Security Platform
Vulnerable-methods reachability and VRM dedup/correlation cut noise; mitigation workflow is manual, not AI triage
Related terms
FAQ
What is AI triage?
Using a model to assess which raw findings are real and worth acting on, and suppressing or deprioritizing the rest.
How many tools in the directory offer AI triage?
18 of the 20 tools in this directory offer AI triage, 13 fully and 5 partially:
Support is not the same as parity, since some implementations are narrower in scope, gated to a higher plan tier, or maintained only for existing customers. The note under each tool is what its own documentation describes.
What should you check when comparing tools with AI triage?
Four things:
- Whether suppressed findings remain visible and auditable
- Explanations for each triage decision rather than a bare confidence score
- Measured false-negative rate, not just noise reduction claims
- Whether triage decisions can be overridden and learned from