# A Systematic Literature Review of Information Security in Chatbots
## 6 Conclusions  
It is important to provide context on how chatbot security differs from security in other areas. While security threats and vulnerabilities exist across various technologies and systems, the unique nature of chatbots and their use of natural language processing present specific security challenges. For example, chatbots rely heavily on user input, which can be manipulated or altered by malicious actors to exploit vulnerabilities. Additionally, chatbotsmay inadvertently reveal sensitive information based on the context of a conversation, which requires careful attention paid to privacy and confidentiality.  
Furthermore, the use of chatbots for customer service and support presents additional security considerations, such as the authentication and authorization of users, protection of personal information, and maintaining the integrity of the chatbot's responses.  
By understanding the specific security concerns and challenges relating to chatbots, researchers and practitioners can develop targeted solutions and best practices to mitigate these risks and ensure the secure use of chatbots.  
This systematic literature review (SLR) provides a comprehensive summary of the research relating to information security in chatbots. This SLR highlights the significant security threats and vulnerabilities that chatbots face. The review reveals that malicious input, user profiling, contextual attacks, and data breaches are among the most common security concerns for chatbots. The findings also demonstrate that there is a need for effective and scalable solutions for chatbot security that can be implemented in different contexts and scenarios.  
To address these challenges, the studies reviewed suggest various solutions, such as the use of blockchain technology, end-to-end encryption, and organizational, managerial, and technical controls. Furthermore, the review emphasizes that maintaining user trust and addressing privacy concerns are critical factors for the successful adoption and continued use of chatbots and AI assistants.  
The taxonomy developed in this review provides a useful framework for categorizing the articles and their findings, which could inform future research and practice in this field. Based on the review, it is clear that there is still much research to be conducted in the field of chatbot security. Future research should focus on developing more sophisticated authentication and authorization mechanisms, comprehensive and user-friendly security and privacy policies, advanced threat detection systems, and frameworks for chatbot development and deployment that incorporate ethical considerations.  
Overall, the findings of this review suggest that information security is a critical factor that must be addressed for the successful adoption and continued use of chatbots and AI assistants. The failure to address these security concerns could undermine user trust and lead to negative consequences for organizations and individuals alike. The insights provided in this review can serve as a roadmap for researchers and practitioners to develop and implement effective security solutions for chatbots and AI assistants.