97% accurate triage — stop wasting time on false positives.
Expert Triage Automation (ETA) uses AI to separate real vulnerabilities from false positives across every scanner you use — or all of them at once. Seconds per finding, not minutes.
97% accuracy on OWASP Benchmark · 25,000+ open-sourced examples · Always testing the latest AI and deterministic techniques
Find
Run multiple scanners + AI models on the same repo — combine everything
Multi-scannerTriage
AppSecAI ETA separates real vulns from false positives
Prioritize
Risk-ranked findings, ready for action
How Expert Triage Automation works
Three steps from scanner finding to prioritized, actionable results.
Connect your scanners and AI models
Import findings from any SAST scanner or AI code review tool — and run several on the same repo at once: commercial, open source, AI models. Each tool catches vulnerability classes the others miss1, and ETA combines and dedupes everything they find. Don't get locked in to a single tool.
Separate real threats from noise — in seconds
AppSecAI ETA analyzes each finding against your actual codebase context. New AI and deterministic triage techniques emerge almost every day — we continuously test them and use the most effective.
- 97% accuracy on OWASP Benchmark (open sourced)
- 25,000+ open-sourced validated examples
- Context-aware: analyzes actual code paths
- Continuously evaluates latest triage techniques
Risk-ranked findings, ready for action
Real vulnerabilities prioritized by exploitability and business impact. Route findings directly to EFA for automated code fixes, or into your existing workflow.
- Risk-based prioritization (not just severity)
- Full audit trail for compliance
- Integrates with Jira, GitHub, GitLab workflows
- Route to EFA for automated code fixes
More scanners, more coverage — not more noise
No single scanner covers it all. Run several on the same repo, and ETA turns their combined output into one clean list.
Commercial scanners
Fortify, Checkmarx, Snyk, Veracode…
Open-source scanners
Semgrep, CodeQL, SonarQube…
AI models
Claude, OpenAI Codex, Gemini…
ETA combines it all
Merges results across tools, removes duplicates, triages every finding at 97% accuracy — in seconds per finding
One risk-ranked list
Only real vulnerabilities, prioritized — ready for your team or automated fixes via EFA
Tool-comparison studies consistently show low overlap between scanners: each one catches vulnerability classes the others miss, and none comes close to covering everything on its own1. Combining tools measurably improves detection2 — the reason nobody does it is the flood of duplicate and false-positive findings that used to come with it. ETA removes that penalty. Adding a scanner now buys you coverage, not noise.
See real ETA triage output
Manual triage vs. ETA — side by side
| Metric | Manual Triage | ETA |
|---|---|---|
| Time per finding | ~5 minutes | Seconds |
| Accuracy | Variable | 97% (25,000+ examples) |
| False positive identification | Inconsistent | Systematic |
| Scales with volume | Linear analyst cost | Process any volume |
| Audit trail | Manual documentation | Automatic |
Results validated against 25,000+ open-sourced OWASP Benchmark findings
Works with your tools
Connect ETA to your existing security and development toolchain.
See ETA triage your actual findings.
Upload your scanner results and see the triage in action. Initial results in 30 minutes. No commitment required.
Schedule a Demo →References
- NIST, SATE V Report: Ten Years of Static Analysis Tool Expositions (SP 500-326, 2018) and SATE VI Report (SP 500-341) — NIST's multi-year tool expositions found low overlap between static analysis tools' findings; using multiple tools finds more weaknesses than any single tool.
- Nguyen et al., On the Combination of Static Analysis for Software Security Assessment (2021) — case-study evidence that combining SAST tools improves vulnerability detection over any individual tool.
- OWASP Benchmark Project — the open test suite used to measure ETA's 97% triage accuracy, with 25,000+ validated results open-sourced.