Benchmarking Framework Developed for LLM Security and Usability
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🤖🔒 Gartner predicts widespread adoption of generative AI by 2026, but security challenges loom. By 2026, it is anticipated that 80% of enterprises will deploy generative AI applications, yet many struggle to balance usability and security. The introduction of consumer-facing large language models (LLMs) brings new risks, including vulnerabilities like data leakage and jailbreakability, which can lead to harmful content generation. To address these concerns, a new benchmarking framework has been developed to evaluate LLMs’ security and usability, helping organizations make informed decisions based on their specific use cases. As the landscape of AI security evolves, ongoing research and feedback will be essential to refine these benchmarks and enhance their effectiveness.
