Secure Messaging Protocols for Intelligent Chatbots: Enhancing User Trust and Data Privacy

Interaction with chatbots has become a new normal in today’s world. We interact with different types of bots without our knowledge. Given this context, how safe are the chatbots and can we trust them and provide our details? The industry is growing leaps and bounds in terms of AI/ML technologies and their seamless integration with chatbots. But these AI models lack contextual awareness as well as enhanced security. This paper comes up with a proposal to embed secure messaging protocol within the chatbot design, and we also touch the challenges related to privacy and trust of the end user. This paper lists down the common vulnerabilities, limitations of enhancing security and how we can bridge this gap through integration with real-time anomaly detection frameworks. This paper introduces a trust centric model that dynamically checks the risk assessment, bad-actor detection etc., The preliminary experimental data which is done under controlled test environments gave us a clear indicator that security breach attempts were mitigated significantly when compared with traditional chatbots. The concept of Trust-adjusted interactions safeguarded the chats and also improved the user confidence, reliability on system etc. The framework proposed thoroughly focuses on enhanced security, improving privacy, contextual awareness etc