AI Application Development Platform Security Hardening Practices
With the advent of the era of large language models, AI applications based on LLMs have been constantly emerging. This has also given rise to AI application development platforms represented by Coze, Dify, Camel, etc. These platforms provide visual design and orchestration tools, enabling users to quickly build various AI applications using no-code or low-code approaches with the capabilities of large language models (LLMs), thus meeting personalized needs and realizing business value.
An AI application development platform is essentially a SaaS platform, where different users can develop and host AI applications. Therefore, the platform needs to pay attention to the risk of cross-tenant attacks and take corresponding preventive measures. This article will take the actual risk of the "code execution plugin" as an example to demonstrate the necessity of isolation and hardening. It will also introduce to you how to use vArmor to harden plugins, thereby ensuring the security of the platform and its tenants.