Veria Labs

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Introduction

Veria maps your entire attack surface, proves real exploits and drafts the fix, moving from finding to merged fix. The company describes itself as coming from the #1 US hacking team and is backed by Y Combinator.

Its findings view tracks issues across repositories with statuses from open to fixed, with examples like SQL injection in an invoice export and forged payment webhooks. The site lists users including Ramp, PostHog, Infisical, Pydantic, Ripple, Phantom, Tempo and Provable.

As with any autonomous pentester, run Veria against staging environments with seeded test accounts, and keep a human reviewer on every drafted fix before it merges. The value lies in how quickly a proven exploit becomes a reviewed patch, so measure that lead time during a trial.

Launch and background: Y Combinator’s company directory lists Veria Labs in its Fall 2025 batch, with the one-liner “Continuous AI pentesting that finds and fixes vulnerabilities”.

Features

1. Attack-surface mapping: Find what is exposed.
2. Exploit proof: Validated findings.
3. Drafted fixes: Patches ready for review.
4. Repository tracking: Findings per repo and branch.

Pros

1. Notable customers: Used by well-known engineering teams.

Cons

1. No public pricing: Contact the team.
2. Early company: Fall 2025 batch.

Usage and Links (Example)

1. Connect repositories and deployed environments.
2. Review proven exploits.
3. Merge the drafted fixes after review.

Resources:

• Veria Labs website

Pricing

Prices were not listed on the website when checked on 11 November 2026; contact the vendor for plans.

Recommended for?

1. Fast-moving startups wanting pentest-to-fix automation.

Conclusion

Veria closes the loop from exploit to fix.

Evaluate draft-fix quality on real findings.

On CheckOps, Veria Labs is filed under the Security testing and Release & CI gates stages. Related tools listed here include Aikido Security, StackHawk, Semgrep, Burp Suite, Snyk and Detectify. Which one fits best depends mostly on your stack, your team’s size and skills, and whether you prefer to run tools yourself or pay for a managed service. This page reflects the official website, documentation and repository as they stood on 11 November 2026.