Exploitability engine
Every finding starts as not exploitable. Evaluates attack vectors, likelihood, and business context to confirm or close with evidence.
Put triage on autopilot.
Automatically validate, reproduce, and resolve complex vulnerability reports before they reach your team.
Trusted by security teams validating reports at scale
The old workflow assumes every report is real until a human proves otherwise.
Every source, from bug bounties to internal scanners to AI-generated PRs, pushes into the same queue. None of them tell you what is actually exploitable.
Inbound vs. human throughput
Volume is no longer human-scaled.
LLM-assisted submissions multiply by an order of magnitude, and most arrive with half-described repro steps, stale targets, or hallucinated endpoints. The intake doubles, the team doesn't.
Every report reads like a real vulnerability now.
LLM-generated submissions are polished and reference real endpoints in your stack. The only way to know if a report is genuine is to execute the repro steps yourself, and that is exactly what submitters are counting on you not having time to do.
Assume every report is noise.
Prove the ones that are real.
Triage treats every report as unproven until it can reproduce the claim in a sandbox and confirm exploitability with evidence. Everything else closes automatically.
Autonomous reproduction
Drives browsers through multi-step flows, sets up preconditions, and fires payloads inside isolated Firecracker microVMs destroyed after each verdict.
Confirms blind vulnerabilities
Blind SSRF, blind XSS, DNS-based exfiltration. Deploys out-of-band callback infrastructure to confirm findings that return no inline response.
Handles auth and accounts autonomously
Registers test accounts, provisions email addresses, walks through MFA flows, VPN tunnels, and multi-step preconditions to reproduce complex vulnerability chains end to end.
Deploy on your own VPC
Run Triage inside your own infrastructure. Bring your own VPC, your own LLM endpoints, and keep full control over where data flows.
Isolated execution per report
Each report is reproduced inside a dedicated sandbox with no shared state. Full end-to-end verification runs in complete isolation without touching your production systems or other active tests.
Duplicate collapse
Matches the same finding across sources, timelines, and PoC similarity into a single ticket.
Self-improving verdicts
Every report is triaged against the full history of prior findings, severities, and conditions. Verdicts are context-rich and reproducible for audit and post-mortems.
Escalate to full blast radius
One-click escalation. Neo chains attack vectors, tests lateral movement, and maps the full potential impact of a confirmed finding.
Works with your existing stack.
Native integrations, sandboxed reproduction, and an engine that improves with every verdict it delivers.
HackerOne
Reports flow directly from your HackerOne program into the triage pipeline. Severity, metadata, and researcher context are preserved end to end.
Claude Code
While Claude Code runs, Triage validates every finding in real time. Noise and false positives are filtered automatically before results ever reach you.
HackerOne
BugCrowd
Intigriti
GitHub
GitLabClaude CodeHackerOneBugCrowdIntigritiGitHubGitLabClaude CodeHackerOneBugCrowdIntigritiGitHubGitLabClaude CodeHackerOneBugCrowdIntigritiGitHubGitLabClaude Code