2025-02-12
Risk is fundamentally intertwined with cybersecurity, serving as a critical concept that guides how organizations approach and implement their cybersecurity strategies. GenAI is no different. Understanding the risks of adopting GenAI informs optimal security decision-making. Central to this understanding is GenAI Red Teaming.
This is a core aspect outlined in the GenAI Red Teaming Guide, recently released by the OWASP Top 10 For Large Language Model Applications & Generative AI. The guide illustrates three GenAI Risks categories that can be addressed by leveraging GenAI Red Teaming: Security (of the operator), Safety (of the users), and Trust (by the users).
Security, Privacy, and Robustness Risk
The first risk category is very similar to traditional red teaming, making it easier to implement. There are significant opportunities for the transferability of knowledge and skills. For example, penetration testing tools like Metasploit and Nmap can be adapted for GenAI systems. Below is an example of using Nmap to scan for vulnerabilities in a GenAI deployment:
nmap -sV --script=vuln <GenAI_Server_IP>
GenAI-Specific Risks: Safety
References:
Hackers Feeds, Undercode AI
