As large AI models are integrated into everyday scenarios like education, customer service, and healthcare, security risks are emerging. These generative AI dialogues often face threats such as malicious inducement, making dialogue risks a critical issue. Recent tests by China’s Data Security Technology R&D Center revealed a non-compliance rate of 28% to 51% across various security dimensions, highlighting insufficient security protections.
The Shenzhi Security Team of Caizhi Technology has introduced the “Shenzhi Risk Control” framework, designed to enhance both security and efficiency. This model employs a four-category risk identification system and a trusted knowledge base to address issues of compliance and “hallucinations” in AI responses. Shenzhi enables easy integration via an API, allowing intelligent agents to operate securely without compromising functionality.
By transforming complex security measures into accessible API services, Shenzhi ensures that AI implementations can focus on innovation while maintaining high security standards across applications in diverse sectors.
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