Let's first look at what is the LLM security level?  - LLM security is evaluated based on factors including data protection, model integrity, infrastructure resilience, and ethical compliance.

To effectively test the security of Large Language Models (LLMs), several methods and best practices can be implemented. These approaches focus on identifying vulnerabilities, preventing exploitation, and ensuring robust security measures throughout the lifecycle of LLM applications.

• Extensive Security Testing: Conduct comprehensive security tests, including penetration testing, to cover all aspects of the LLM, from user interfaces to backend systems. Conduct periodic security risk assessments using vulnerability scanning tools to identify and mitigate risks proactively.
• Input Sanitization: Implement rigorous input sanitization to filter out harmful or manipulative user inputs.  This involves using automated filters alongside human oversight to detect and block potentially dangerous prompts, such as those aimed at prompt injection.
• Data Minimization and Encryption: Limit data collection to only what is necessary, thereby reducing exposure to potential breach and ensure that all sensitive data, including training data, is encrypted to protect against unauthorized access.
• Access Control Mechanisms: Develop and enforce strict access control mechanisms to limit user permissions based on their roles. Implementing Role-Based Access Control (RBAC) and two-factor authentication can significantly enhance security.
• Output Handling Security: Ensure that outputs generated by LLMs are properly sanitized before being displayed or executed. This helps prevent injection attacks, such as cross-site scripting (XSS) or SQL injection, that could exploit unsanitized outputs.

References: 

- William (2023). LLM Security Testing and Risks. Retrieved from https://aardwolfsecurity.com/llm-security-testing-and-risks/

- Şimşek, H. (2024). Compare 20 LLM Security Tools & Open-Source Frameworks in '24. Retrieved from https://research.aimultiple.com/llm-security-tools/