--- title: Expert Triage Automation (ETA) | 97% Accurate Triage | AppSecAI description: Stop wasting time on false positives. ETA uses AI to separate real vulnerabilities from noise with 97% accuracy. Supports all major SAST scanners. image: https://www.appsecai.io/hubfs/og/appsecai-og-card.png --- [![Logo. Blue. Horizontal](https://www.appsecai.io/hubfs/Logo.%20Blue.%20Horizontal.svg "Logo. Blue. 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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 [See It With Your Findings →](https://www.appsecai.io/contact) 1 #### Find Run multiple scanners + AI models on the same repo — combine everything Multi-scanner 2 #### Triage AppSecAI ETA separates real vulns from false positives 3 #### Prioritize Risk-ranked findings, ready for action 40%+ Of SAST findings are false positives ~5 minutes Per finding for manual triage review Seconds ETA triage time per finding at 97% accuracy ## How Expert Triage Automation works Three steps from scanner finding to prioritized, actionable results. 1 Connect Your Scanners ### 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 miss[1](https://www.appsecai.io/expert-triage-automation-eta#fn-1), and ETA combines and dedupes everything they find. Don't get locked in to a single tool. Fortify Checkmarx Snyk SonarQube Semgrep Veracode Black Duck CodeQL SARIF CSV JSON + more 2 Intelligent AI Triage ### 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 3 Prioritize & Act ### 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](https://www.appsecai.io/expert-fix-automation) 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 own[1](https://www.appsecai.io/expert-triage-automation-eta#fn-1). Combining tools measurably improves detection[2](https://www.appsecai.io/expert-triage-automation-eta#fn-2) — 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. Prefer open source? Run a free stack — Semgrep, CodeQL, and friends — next to your paid scanner on the same repo. ETA triages both sets, and you compare the results. Keep whichever combination finds more of what matters. ## See real ETA triage output ![ETA triage output — True Positive and False Positive classification](https://www.appsecai.io/hubfs/Web%20Site/ETA%20Long%20Report.png) [See all 25,000+ validated results →](https://www.appsecai.io/performance-metrics) ## 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](https://www.appsecai.io/performance-metrics) ## Works with your tools Connect ETA to your existing security and development toolchain. SAST Scanners Fortify Checkmarx Snyk SonarQube Semgrep Black Duck Veracode CodeQL AI Code Tools Claude Code OpenAI Codex Google Gemini Development Platforms GitHub GitLab Jira File Formats SARIF CSV JSON ## 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 →](https://calendly.com/brucefram/30min) ###### References 1. NIST, [SATE V Report: Ten Years of Static Analysis Tool Expositions (SP 500-326, 2018)](https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.500-326.pdf) and [SATE VI Report (SP 500-341)](https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.500-341.pdf) — NIST's multi-year tool expositions found low overlap between static analysis tools' findings; using multiple tools finds more weaknesses than any single tool. 2. Nguyen et al., [On the Combination of Static Analysis for Software Security Assessment (2021)](https://arxiv.org/abs/2103.08010) — case-study evidence that combining SAST tools improves vulnerability detection over any individual tool. 3. [OWASP Benchmark Project](https://owasp.org/www-project-benchmark/) — the open test suite used to measure ETA's 97% triage accuracy, with [25,000+ validated results open-sourced](https://www.appsecai.io/performance-metrics). [![Logo. White. Horizontal](https://www.appsecai.io/hubfs/Logo.%20White.%20Horizontal.svg "Logo. White. Horizontal")](https://www.appsecai.io/) **Automation for Application Security Teams** - Products - [Expert Fix Automation (EFA)](https://www.appsecai.io/expert-fix-automation) - [Expert Triage Automation (ETA)](https://www.appsecai.io/expert-triage-automation-eta) - [Try Now!](https://www.appsecai.io/try-now) - By Role - [Application Security Teams](https://www.appsecai.io/application-security-teams) - [Product Security](https://www.appsecai.io/product-security) - [Vulnerability Management](https://www.appsecai.io/vulnerability-management) - [CISOs](https://www.appsecai.io/application-security-for-cisos) - [Engineering Leaders](https://www.appsecai.io/engineering-security-automation) - Resources - [Blog](https://www.appsecai.io/blog) - [Case Studies](https://www.appsecai.io/case-studies) - [Videos & Podcasts](https://www.appsecai.io/videos-podcasts) - [AI Security Book](https://www.appsecai.io/the-ai-security-advantage-by-bruce-fram) - [Metrics](https://www.appsecai.io/performance-metrics) - [ROI Calculator](https://www.appsecai.io/roi) - [Pricing](https://www.appsecai.io/pricing) - Company - [About](https://www.appsecai.io/about) - [Partners](https://www.appsecai.io/partners) - [Careers](https://www.appsecai.io/careers) - [Contact Us](https://www.appsecai.io/contact) - [Privacy Policy](https://www.appsecai.io/privacy-policy) - [Terms of Service](https://www.appsecai.io/terms-of-service) - [Cookie Policy](https://www.appsecai.io/cookie-policy) --- © 2026 AppSecAI, Inc. 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