Write code. Hit save. Vulnerabilities are caught, ranked by severity, and fixed — automatically. Your team ships faster without leaving a single security hole behind.
auth_service.py — Qualysec Scanner
import sqlite3, hashlib
def get_user(username):
q
= f"SELECT * FROM users WHERE name='{username}'"
# ⚠ SQL Injection • CVSS 9.8
def hash_pwd(pwd):
return hashlib.md5(pwd.encode()).hexdigest()
# ⚠ Weak Hash • CVSS 7.5
⚡ AI Fix Generated
q = f"SELECT * FROM users WHERE name='{username}'"
q = "SELECT * FROM users WHERE name = ?"
return db.execute(q, (username,))
All plans include vulnerability detection. Credits power AI features.
Starter
Individual developers
billed $228/year
Core Scanning
Limits
AI Features
Reports & Admin
Integrations & Enterprise
Support
Pro
Engineering teams
billed $588/seat/year
CORE SCANNING
LIMITS
AI FEATURES
REPORTS & ADMIN
INTEGRATIONS & ENTERPRISE
SUPPORT
Enterprise
Large orgs & compliance
Volume pricing · Annual contracts
CORE SCANNING
LIMITS
AI FEATURES
REPORTS & ADMIN
INTEGRATIONS & ENTERPRISE
SUPPORT
🔒 All plans include a self-hosted AI model — no third-party LLM API is ever used. Your data stays with you.
Seven powerful capabilities, one unified platform — built for developers and the teams that manage them.
Unlike tools that route your code through third-party AI APIs, Qualysec runs its own fine-tuned AI model — hosted entirely within the platform. No call is ever made to OpenAI, Anthropic, or any external LLM service. Your code is analyzed privately, every single time.
Every vulnerability is scored with the industry-standard Common Vulnerability Scoring System. Critical risks surface to the top — your team always works on what matters most, not a flood of low-priority noise.
Your development team can chat directly with the AI about their specific code. Ask why a vulnerability exists, explore alternative remediation approaches, or get security guidance — all conversations are encrypted in transit and at rest, and your data is never used to train any model.
Most scanners tell you what is broken. Qualysec writes the fix and applies it directly to your codebase. No copy-pasting suggestions. No guesswork. Just secure, production-ready code replacements.
Rewrites vulnerable logic — doesn’t just flag it
Preserves your coding style and project architecture
Reduces time-to-remediate by up to 80%
You review and approve before it applies — always in control
Embed security into every pull request. Qualysec integrates natively with GitHub Actions — scan code before it merges, block PRs on critical findings, and get a security report on every build, automatically.
Vibe-code and stay secure in the same editor. The Qualysec extension shows findings inline as you write, lets you apply AI fixes with one click, and gives you access to contextual AI chat — all without leaving VS Code.
Available for teams with 10+ developer seats. Security leads and engineering managers get a dedicated dashboard to monitor every developer’s scan activity, track open vulnerabilities, manage seats, and export compliance-ready reports — all in one place.
Qualysec runs its own fine-tuned AI model — purpose-built for security code analysis. We don't call OpenAI, Anthropic, or any third-party LLM API with your code. Every piece of data that flows through Qualysec is protected end-to-end, and your data is never used to improve our models or anyone else's.
All scan data, findings, and session information stored on Qualysec infrastructure is encrypted at rest using AES-256. Even if storage were physically compromised, your data remains unreadable.
Every byte transferred between your environment and Qualysec is secured with TLS 1.3 — the latest industry standard. No one can intercept or read your code in transit.
We host and operate our own fine-tuned security AI model. No API call is made to any public LLM platform. Your source code never touches OpenAI, Anthropic, Google, or any third-party AI service.
Your code, findings, and usage data are never used to train, fine-tune, or improve any AI model — ours or anyone else's. Full stop.
How Your Data Is Protected
Via VS Code extension or GitHub CI/CD pipeline
Your code travels over an encrypted channel — no interception possible
Our fine-tuned model scans your code — no third-party AI API receives your data
Findings are stored encrypted at rest and only accessible to your team
The generated fix is returned over TLS 1.3 — you review and apply it
Session ends. Your data stays yours. No model learns from it.
No complex setup. No learning curve. Pick how you want to connect — and Qualysec handles the rest.
Choose the integration that fits your workflow. All three connect in minutes.
Simply upload your code files or zip directly to Qualysec. Instant scan — no setup needed.
Link your GitHub repository. Qualysec scans every push and pull request automatically.
Install the extension and get live scanning right inside your editor as you write code.
Most PopularOur fine-tuned security AI model — not a generic LLM — goes through your code line by line.
Built specifically for vulnerability detection — not a general-purpose AI. It knows your code's security context.
Matched against a database of over 3,00,000 known vulnerabilities covering OWASP, CVE, and CWE patterns.
Every issue gets a CVSS score from Critical to Low — so you always know exactly what to fix first.
4 vulnerabilities found
Select any vulnerability, click "AI Fix This Issue" — the secure code replaces the vulnerable one instantly, side by side.
Most code scanners stop at finding problems. Qualysec finds, prioritizes, and fixes them — privately, instantly, and inside the tools you already use.
⚠️Traditional Scanner | ✦Qualysec Code Scanner | |
|---|---|---|
| AI Model | ✕Sends code to third-party LLM APIs (OpenAI, etc.) | ✓Self-hosted, fine-tuned model — no external API calls |
| Vulnerability Fix | ✕Suggests fixes only — you write the code yourself | ✓AI writes and applies the fix directly in your codebase |
| Risk Prioritization | ✕Flat list of issues — no severity ranking | ✓Every finding scored with CVSS — critical issues first |
| Data Privacy | ✕Code uploaded to cloud — risk of data exposure | ✓Your data stays with you — encrypted at rest and in transit |
| Developer Workflow | ✕Separate tool — developers must context-switch | ✓VS Code extension — scan and fix without leaving the editor |
| CI/CD Integration | ✕Manual scans only — no pipeline integration | ✓Native GitHub Actions — scans every PR automatically |
| AI Chat Support | ✕No — static reports with no interactive guidance | ✓Contextual AI chat — ask about any vulnerability in your code |
| Team Management | ✕No visibility into team activity or progress | ✓Admin panel — monitor devs, reports, and seat management |
| Model Training on Your Data | ✕Your code may be used to train their AI models | ✓Never — your data is never used to train any model |
Calculate how much developer time and money Qualysec saves your team every year.
Adjust the sliders to match your team's profile — we estimate ~1 security issue per 1,000 lines of code written.
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