From Conventional to Conversational: How Generative AI Applications Transform Digital Interactions

Interaction patterns describe the way traffic flows back and forth between a user and the application that processes requests. With conventional applications, these interactions are static. That is, we know what each page and API request is going to be sending and receiving. We define what data can be exchanged, and we can limit the type and size of that data as part of our security efforts.

With conversational applications that pattern changes. The conversation might be quick and short, it might be long with lengthy requests. As multimodal AI continues to add new types of data to generative AI's capabilities, the conversation might include images, audio, or video. It might not. We just don't know. That makes it difficult not just to secure, but to understand how to scale and optimize for performance. We can no longer predict resource consumption because, well, it's highly variable and dynamic.