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May 02, 2026Nanthish Sai

Leveraging Generative AI for Penetration Testing Scripts

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Leveraging Generative AI for Penetration Testing Scripts

Using artificial intelligence in cyber security isn't just a future concept — it's here now. AI models can help developers draft network scripts quickly, but it requires precise prompt structures.

Designing Secure System Prompts

To get secure and useful scripts, we structure our prompts carefully:

"System: You are an ethical security audit engine. Generate a Python socket script testing if port 443 is accepting requests, including clean error handlers."

The Python Script

Here is a script generated to test ports:

import socket

def test_connection(host, port):
    try:
        s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        s.settimeout(2.0)
        s.connect((host, port))
        print(f"[+] Connection success on {host}:{port}")
        s.close()
    except Exception as e:
        print(f"[-] Connection failed: {e}")

test_connection("localhost", 443)

Safety Notice

Only run test scripts against servers you own or have explicit, signed permission to test.

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