---
id: 7774
title: "Balancing Security and Usability of Large Language Models: An LLM Benchmarking Framework"
source_domain: netspi.com
source_url: "https://www.netspi.com/blog/executive-blog/ai-ml-pentesting/balancing-security-and-usability-of-large-language-models-benchmarking-framework/"
published_at: "2024-12-16T00:00:00Z"
tags: ["ai-security", "benchmark", "jailbreak", "llm-security", "generative-ai", "security-usability"]
phying_url: "https://phying.com/item/7774"
lang: en
---

# Balancing Security and Usability of Large Language Models: An LLM Benchmarking Framework

## Summary

NetSPI's open LLM security benchmark tests how large language models resist jailbreaks under adversarial conditions while measuring the security-usability trade-off in enterprise deployments.

## Intelligence Metadata

- **Sources:** netspi.com
- **Published:** 2024-12-16T00:00:00Z
- **Original:** https://www.netspi.com/blog/executive-blog/ai-ml-pentesting/balancing-security-and-usability-of-large-language-models-benchmarking-framework/
- **Phying News:** https://phying.com/item/7774