Fix with AI: How to Remediate Security Vulnerabilities in 30 Seconds
Security pentests used to end with a PDF report and a long remediation project. You would hand the findings to a developer, they would spend days researching how to fix each issue, and the back-and-forth between security and engineering would stretch for weeks.
We built Fix with AI to eliminate that gap entirely.
What Is Fix with AI?
Fix with AI is a feature in TurboPentest that generates ready-to-use prompts for AI coding tools. When our pentest identifies a vulnerability in your application, you get more than just a description of the problem - you get a prompt you can paste directly into Cursor, Claude Code, or Windsurf that tells your AI coding tool exactly what to fix and how.
The result: a security finding that would normally take hours to remediate can be fixed in under 30 seconds.
The Full Workflow
Here is exactly how it works from start to finish.
Step 1: Run a Pentest
Go to TurboPentest and enter your domain. Our agentic AI pentest will probe your application for vulnerabilities including SQL injection, XSS, authentication issues, misconfigurations, exposed secrets, and more.
The pentest runs automatically. No configuration required, no agents to install, no access to your source code needed.
Step 2: Open Your Report
When the pentest completes, you receive a full security report with findings sorted by severity - critical, high, medium, low, and info. Each finding includes:
- A description of the vulnerability
- The affected URL and parameter
- Evidence from the pentest (request/response details)
- A severity rating with business impact context
Step 3: Click "Fix with AI"
On any finding, click the Fix with AI button. TurboPentest generates a structured prompt that includes:
- The type of vulnerability and why it is dangerous
- The specific endpoint, parameter, or code pattern that is affected
- The remediation approach recommended for your framework
- Example code showing the secure pattern
The prompt is copied to your clipboard with one click.
Step 4: Paste into Your AI Coding Tool
Open Cursor, Claude Code, Windsurf, or any other AI coding tool. Open the relevant file or just paste the prompt into the chat. The AI tool will:
- Locate the vulnerable code
- Understand the security context from the prompt
- Generate a secure replacement
Review the suggested fix, make sure it makes sense for your codebase, and merge it.
Step 5: Re-test
Penetration tests used to cost tens of thousands. Now it's $99. TurboPentest uses agentic AI to find real vulnerabilities in your web apps.
Pentest Your Site for $99Run a targeted pentest on the fixed endpoint to verify the vulnerability is gone. TurboPentest lets you re-pentest specific URLs without running a full pentest again.
What Goes into the Prompt
The prompts Fix with AI generates are not generic security advice. They are specific to your application and your finding.
A typical Fix with AI prompt looks like this:
I need you to fix a SQL injection vulnerability in my application.
Vulnerability details:
- Type: SQL Injection (CWE-89)
- Severity: Critical
- Affected endpoint: POST /api/users/search
- Vulnerable parameter: query
The issue: The search endpoint concatenates user input directly into a SQL
query string without parameterization.
Current insecure pattern to locate:
const sql = "SELECT * FROM users WHERE name LIKE '%" + req.body.query + "%'";
Secure fix - replace with a parameterized query using your database client:
Prisma: db.user.findMany({ where: { name: { contains: query } } })
pg: db.query("SELECT * FROM users WHERE name LIKE $1", ["%" + query + "%"])
Drizzle: db.select().from(users).where(like(users.name, `%${query}%`))
Please find all instances of this pattern in the codebase and apply the fix.
Framework-Aware Prompts
TurboPentest detects your application framework during the pentest and generates prompts tailored to your stack. A Node.js/Express app gets different fix instructions than a Next.js app with Prisma, which gets different instructions than a Django app or a Rails app.
This matters because the secure pattern for preventing SQL injection in raw pg is different from the pattern in Prisma, which is different again from Drizzle or TypeORM. Generic advice leads to generic fixes. Framework-aware prompts lead to fixes that fit naturally into your codebase.
Detected frameworks include:
- Node.js: Express, Fastify, Koa, NestJS
- Frontend: Next.js, Remix, SvelteKit, Nuxt
- ORM/Database: Prisma, Drizzle, TypeORM, Sequelize, Mongoose
- Python: Django, FastAPI, Flask
- Ruby: Rails, Sinatra
- PHP: Laravel, Symfony, plain PHP
Supported AI Coding Tools
Fix with AI prompts are designed to work with any AI coding assistant, but are optimized for:
- Cursor - Paste into the chat panel or use Cmd+K to apply inline
- Claude Code - Paste directly into the terminal prompt
- Windsurf - Use the Cascade chat panel
- GitHub Copilot Chat - Works with the VS Code extension
- Cline / Roo Code - Compatible with the VS Code plugin
The prompt format is plain text with structured context - it works anywhere you can have a conversation with an AI coding tool.
Why This Matters for Vibe Coders
If you built your app with AI tools, Fix with AI closes the loop. You built with AI. You found issues with AI (TurboPentest's agentic pentest). Now you fix with AI.
The entire security lifecycle - build, test, fix - stays within the AI-native workflow you are already using. There is no need to learn a new security skill set, no need to hire a consultant, no need to spend a week deciphering a 40-page PDF report.
Security becomes a 30-second step in your deployment workflow rather than a multi-week project you keep deferring.
Try It Now
Want to see Fix with AI in action? Run a pentest on your domain and look for the Fix with AI button on any finding.
Run an agentic AI pentest and try Fix with AI
You can also view a sample report to see what findings look like and how the Fix with AI prompts are structured before running your own pentest.
Find Vulnerabilities Before Attackers Do
TurboPentest's agentic AI runs real penetration tests on your web applications, finding critical vulnerabilities that manual reviews miss.