Unreliable input filter in AI penetration test

 🤯 Sometimes an AI chatbot refuses to answer a question. The question gets blocked. When I get it to answer exactly the same question, it can get dangerous!

I recently discovered exactly this during an AI security penetration test.

🔍 I'll take you behind the scenes of an ethical hacker's work.

One of the things I tested was the chatbot's input filter. Think of it as a security checkpoint: its job is to inspect questions before they reach the AI model and block requests that violate predefined security rules.

To test whether this protection worked reliably, I submitted a question that should trigger the filter.

Here's what happened:

- First attempt: 🚫 The input filter recognized the question and blocked it. The chatbot refused to process it.

- Second attempt: ✅ I submitted exactly the same question again. This time, the filter didn't trigger, and the question was answered.

Same question. Same chatbot. Different security decision.

💡 Why is this a problem?

An input filter is supposed to prevent certain questions or requests from reaching the AI model in the first place. But if the filter sometimes blocks a question and sometimes allows it, its protection is unreliable.

Someone trying to bypass these safeguards might simply repeat a blocked question until it gets through.

✅ And this is what my work is about: Not only trying to break into systems, but systematically testing whether the security mechanisms actually work as intended.

#Cybersecurity #AISecurity #EthicalHacking #PenetrationTesting #AI #CyberAwareness

Credit: Image generated with AI (ChatGPT / DALL·E)