You Code With Copilot.
Make Sure It's Secure.
GitHub Copilot autocompletes your code in real time. But it learns from public repositories - including ones with security vulnerabilities. TurboPentest's agentic AI pentest finds the insecure patterns Copilot picks up.
The Numbers
What Happens When AI-Generated Code Ships Untested
2.74x
more vulnerabilities than human-written code
1 in 5
breaches now caused by AI-generated code
2,000+
vulnerabilities found across 5,600 vibe-coded apps
400+
exposed secrets in client-side code
A single agentic AI pentest catches these before they reach production.
Sources: Veracode 2025, Aikido Security 2026, Escape.tech 2026
Common Vulnerabilities in Copilot-Generated Code
Insecure Patterns from Training Data
Copilot suggests code patterns it learned from public repos - including deprecated crypto, unsafe deserialization, and SQL injection.
Missing Input Sanitization
Auto-completed code that processes user input without escaping or validation.
Weak Cryptography
Suggestions using MD5, SHA1, or other deprecated algorithms for password hashing or token generation.
Path Traversal
File handling code that doesn't sanitize paths, allowing attackers to read arbitrary files.
How It Works
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Agentic AI Pentest
Up to 20 AI agents orchestrate 14 professional security tools in a few hours.
Get Report
Detailed findings with fix prompts you can paste directly into Copilot.
One-Click Fix Prompts for Your Editor
Every finding includes a copy-paste prompt you can use with Copilot Chat or any AI coding tool. Describe the vulnerability, apply the fix, move on.
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$99
4 AI agents, up to 4 agent-hours, auditor-ready report
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$299
10 AI agents, up to 20 agent-hours, exploit chain analysis
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$699
20 AI agents, up to 80 agent-hours, maximum depth