H1 Code Security Audit

Secure your codebase with frontier cyber AI

Catch vulnerabilities that build quietly over years of releases, and the ones AI-assisted development introduces faster than reviews can catch.

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Key Benefits

AI agents that understand your code in context

H1 Code Security Audit reads your codebase: every service, the paths between them, the code nobody has opened since it shipped, and the AI-generated code that shipped without a full review. Some flaws stay invisible for years, like a pull request that shifts an auth boundary and passes review because, on its own, it should; others ship in hours, buried in AI-generated code no one had time to fully check. Our agents catch both, tracing each one to its root cause so you know what to act on.

Find flaws your pipeline missed

Find the flaws hiding behind years of iteration and drift. Agents reason across service boundaries, years of release history, and team turnover, not just file by file, finding what even highly disciplined security checks miss.

Keep pace with AI-speed code

AI-assisted development ships code, and potential flaws, faster than any review cycle was built to handle. Audit new code while a fix is still cheap, review legacy code before someone else does, and produce evidence for NIST, FS-ISAC, and PCI DSS.

Deliver a fix, not just the findings

Every finding arrives with the file, the function, the call path that makes it reachable, the surrounding context, and a clear explanation of why it warrants action. Add H1 Remediation to turn findings into developer-ready fix plans delivered to their current tools.

How it Works

Scoping and setup

Secure integration with GitHub, GitLab, Azure DevOps, and Bitbucket SaaS and on-premise editions. HackerOne maps how services interact and reviews context across the multi-codebase estate.

Agentic analysis

Agents review the system, map the attack surface, trace vulnerabilities through the paths that make them reachable, detect secrets and configuration drift, and return a prioritized report in hours.

Deep reasoning, not just scanning

Autonomous coverage includes software composition analysis (SCA), static application security testing (SAST), infrastructure as code (IaC) scanning, and secrets detection. Agents then reason across those results to find the flaws that only appear when services interact.

Reporting and fix verification

You receive a report covering each identified vulnerability, its root cause in source, and its priority. Fix guidance is written so developers and their AI coding assistants can act on it directly. Run follow-up agentic scans to confirm the fix holds.