Powered by Claude 4.6 Opus

Ship secure code
without a security team.

Vult scans your codebase with state-of-the-art AI to catch real vulnerabilities, including logic flaws rule-based scanners miss, and proposes fixes you can apply with one click.

Zero data retentionYour code never trains a modelGitHub & GitLab native

90%

cheaper incremental scans with prompt caching

10+

vulnerability categories covered, from injection to logic flaws

<30s

median scan time on PR diffs

Why Vult

A security scanner that actually reads your code.

Traditional scanners rely on regex and known CVE signatures. Vult reasons about what your code is trying to do, and tells you when something is wrong.

Catches logic flaws

Broken authorization, race conditions, unsafe state transitions. The kind of bug SonarQube and Snyk silently miss.

Smart caching

Your repo is scanned in full once, then cached. Every PR after that is a cheap diff scan with full-repo context.

Fits your workflow

Connect GitHub or GitLab. Vult scans new PRs automatically and drops findings inline as a review comment.

One-click fixes

Every finding ships with a concrete patch. Apply it as a suggestion, a commit, or a follow-up PR.

Demo

Explore our demo scan report.

This is a working scan of a sample repository. Click a finding to read the AI analysis. Apply a fix and watch the security score climb.

acme-corp/web-platform
Scanned by Claude 4.6 Opus

Open

6

Critical

2

High

2

Medium

1

Findings

User input is interpolated directly into a SQL query string. An attacker could read, modify, or delete database records.

Suggested Fix

db.query("SELECT * FROM users WHERE id = $1", [userId])

95% confidence

Security Score

54/ 100

Scan details

Files247
Duration2m 14s
ModeFull baseline
CacheActive

Try it

Click a finding to see the AI-suggested fix. Hit Apply Fix and watch the score climb.

6findings · Interactive demo data

How it works

From zero to secure in three steps.

01

Connect a repo

Install the GitHub or GitLab app. We never clone; we read through the provider API.

02

Run a baseline

We ingest the full codebase once, let Claude build a deep threat model, and cache it at the provider.

03

Scan every PR

New PRs trigger a diff-scan against the cached baseline: full context, a fraction of the cost, near-instant results.

Built with your source code's safety in mind.

Vult runs on Anthropic's API under Zero Data Retention terms. Your code is not used to train any model, not logged beyond what's needed to deliver results, and never shared.

Zero data retention
No training on your code
Least-privilege repo access

Find the bug before the attacker does.

Connect a repository and get your first scan in minutes. Free tier covers public repos and small teams.

Usually takes under 5 minutes to set up