AI Trust Score Introduced to Evaluate LLM Security and Reliability

The article discusses a new "AI Trust Score" system designed to assess the security and reliability of large language models (LLMs). As organizations increasingly adopt AI, concerns about vulnerabilities—such as prompt injection, data leaks, and biased outputs—have grown. This scoring framework evaluates LLMs based on criteria like robustness, transparency, ethical alignment, and resistance to adversarial attacks. By providing a measurable standard, the initiative aims to help enterprises choose safer AI tools and encourage developers to prioritize security in model design. The push for standardized AI trust metrics reflects the broader challenge of balancing innovation with risk management in the rapidly evolving generative AI landscape. 

https://www.darkreading.com/cyber-risk/ai-trust-score-ranks-llm-security

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