I will test ai chatbot or app for prompt injection attacks and security vulnerabilities
AI Automation Python Scripts and Web Security
About this Gig
Your AI chatbot could be leaking confidential data, ignoring its rules, or being manipulated by users without you knowing.
I provide AI security testing for chatbots and LLM-powered apps built with GPT, Claude, Gemini, or other AI APIs. I focus on AI-specific risks that normal web testing often misses.
What I test for:
Prompt injection
Jailbreak attempts
System prompt extraction
Data leakage
Role confusion attacks
Indirect prompt injection
Context manipulation
Business logic bypass
This service is useful for SaaS founders, developers, businesses using customer support chatbots, and anyone who added AI features with tools like Cursor, Bolt, Lovable, OpenAI, or Claude.
What you receive:
Written vulnerability report
Risk rating for each issue
Exact test prompts used
Plain-English explanation of the risk
Actionable fix recommendations
Executive summary for your team or clients
I combine cybersecurity knowledge with practical understanding of how LLM apps behave, where they fail, and how attackers try to manipulate them.
Important: I only test AI apps, chatbots, or workflows that you own or have permission to test. Please message me with your AI app details before ordering.
Testing application:
Web application
Development technology:
JavaScript
•
Node.js
•
Python
•
React
•
TypeScript
Device:
PC
•
Mac
•
Linux
•
iPhone
•
Android mobile phone
FAQ
What do I need to provide?
Just share access to your AI app or chatbot — a URL, a demo link, or a test environment. If your AI has a system prompt, sharing it (under NDA if needed) helps me test more thoroughly. I'll sign an NDA on request.
My chatbot was built by a developer — can you still test it?
Yes. As long as you own the application or have permission to test it, I can test any AI chatbot regardless of who built it or what framework was used.
What if no vulnerabilities are found?
You still receive the full report confirming every attack vector tested and that it passed. A clean AI security report is a strong trust signal you can show to clients and investors.
Do you test apps built with GPT-4, Claude, or Gemini?
Yes — all of them. Prompt injection vulnerabilities exist regardless of which LLM powers your app. The attacks differ slightly but I test for all major LLM platforms.
Can my developer use your report to fix the issues?
Absolutely. The report is written to be developer-friendly — each finding includes the exact attack prompt used, why it works, and specific code-level recommendations to fix it.
