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ZeroPath

AI-native SAST with automated PR security reviews

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ZeroPath is an AI-native SAST and AppSec platform recognized as an RSAC 2026 finalist that provides automated pull request security reviews with contextual feedback and natural-language fix suggestions. It catches secrets, IaC misconfigurations, and logic flaws in code changes, competing directly with established code review tools but with a security-first AI-native architecture.

ZeroPath combines static application security testing with AI-powered contextual analysis to provide security reviews directly on pull requests. Unlike traditional SAST tools that generate long lists of potential issues ranked by pattern matching, ZeroPath uses AI to understand the context of each code change and provide natural-language explanations of why a particular pattern is dangerous and how to fix it.

The platform covers multiple security domains including vulnerability scanning, secret detection for accidentally committed credentials, and infrastructure-as-code misconfiguration detection. Each finding includes a clear explanation accessible to developers without deep security expertise, along with specific fix suggestions that can be applied directly in the PR.

ZeroPath was recognized as an RSAC 2026 Innovation Sandbox finalist, validating its technical approach in the competitive AppSec market. The platform integrates with major Git providers and targets development teams that want to shift security left without the complexity and noise of traditional enterprise SAST tools.

Pricing

Paid; pricing details on request

Platforms

GitHub, GitLab, CI/CD pipelines

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