ZeroPath
AI-native application security that finds, verifies, and auto-fixes real vulnerabilities
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At a glance
What it does
AI-native SAST that finds business-logic vulns other scanners miss, verifies them, and writes the fix.
Detailed overview
Traditional SAST drowns teams in false positives and misses the bugs that actually matter (logic flaws). ZeroPath reasons about code behavior instead — combining LLMs with program analysis to catch IDORs, authorization bypasses, race conditions, and auth bugs that pattern-matching can't, then ships ready-to-merge fixes. Built by ex-Tesla Red Team and Google Security engineers, it unifies SAST, SCA, Secrets, and IaC into one reasoning engine that verifies exploitability and generates context-aware fixes. It's deep in AppSec circles but unknown to most developers, despite strong validation: a Top 10 finalist in the RSAC 2026 Innovation Sandbox, running 200,000+ scans/month across 1,000+ organizations with 3x ARR growth. YC S24; used by Aptos Labs and Commenda.
Key features
- Catches business-logic vulnerabilities
- Verifies exploitability, cuts false positives
- Ships ready-to-merge fixes as PRs
- Unifies SAST, SCA, Secrets and IaC
Who it's for
Best suited for developers looking for ai coding tools. AI-native application security that finds, verifies, and auto-fixes real vulnerabilities
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