Chat-Bots and Blockchain Integration for Immutable and Secure Incident Logging

By: Pinaki Sahu, International Center for AI and Cyber Security Research and Innovations (CCRI), Asia University, Taiwan,


The combination of chatbots and blockchain technology offers an opportunity towards revolutionising incident tracking in the dynamic field of digital communication and data management. The aim of this article is to create a strong system for safe and immutable incident tracking by exploring the potential benefits of combining chatbots with blockchain technology. We want to uncover a future where event recordings are not only impenetrable but also effectively managed in real-time by investigating the benefits, difficulties, and possible uses of this integration.


The process of incident recording is a fundamental component of many different fields, including project management, cybersecurity, and customer support, in the quickly evolving world of digital communication and data management. However, centralised databases are frequently used in conventional event tracking systems, opening them up to risks like data manipulation and unauthorised access. Acknowledging the urgent requirement for a system that is more safe and unbreakable, this article aims to implement an innovative method. Through the integration of chatbots and blockchain technology, an innovative approach is presented that promises increased security and immutability in the context of event reporting.

The Rise of Chat-Bots

Recent years have seen a rise in the popularity of chatbots, which provide smooth, interactive communication between people and systems. Chatbots, which utilise machine learning and natural language processing (NLP), are capable of effectively managing inquiries, resolving problems, and optimising communication procedures. Chatbots may be integrated with issue recording systems to improve user experience and guarantee accurate and fast event documentation[1].

The Blockchain Advantage

A decentralised and unchangeable record is introduced by blockchain technology, which powers cryptocurrencies like Bitcoin. A safe and transparent record is created by each block in the chain having a timestamp and a link to the block before it. The data becomes unchangeable when blockchain is integrated with incident logging, creating a transparent and reliable system[2].

Blockchain and Chat-Bot Synergy: 

Together, chat-bots and blockchain produce a safe and dynamic incident tracking system. Blockchain guarantees the integrity and immutability of recorded data, while chatbots enable real-time event reporting and documentation. By reducing the possibility of data modification and unauthorised access, this synergy promotes incident record trust[4].

Fig.1. Blockchain and Chatbot synergy against incident logging

Benefits of the Integration

  • Immutability: Blockchain ensures that an incident can never be changed or removed once it has been documented[2].
  • Transparency: Stakeholders can validate incident recordings due to the decentralized nature of blockchain technology[2].
  • Real-time Reporting: Chatbots improve response times by facilitating accurate and timely event reporting[1].
  • Security: An impenetrable and safe incident tracking procedure is guaranteed by the integration of chatbots and blockchain technology[2].

Challenges and Considerations:

  • Scalability: One major challenge to the integration of chatbots and blockchain for incident tracking is scalability. As organizations develop, the system must effectively handle an increasing number of occurrences. Optimizing algorithms, using distributed systems, and making sure the chatbot easily adjusts to a growing user base are some of the solutions.
  • User Adoption: When implementing revolutionary technologies such as chatbots and blockchain integration, user acceptance must be closely monitored. A seamless transition may be ensured by employing crucial strategies such as user feedback loops, training programmes, effective communication, and intuitive interfaces to surmount opposition.
  • Regulatory Compliance: It is important to comply with data protection rules. Due to its decentralized structure, blockchain complicates data governance. To ensure that their systems comply with the constantly changing privacy rules, organizations need to manage regulatory environments, install strong encryption, anonymize data, and work with legal professionals. Sustaining compliance and success requires proactive monitoring of regulatory changes.


The way businesses handle and safeguard their data might be drastically changed by integrating chatbots and blockchain for incident tracking. Despite certain difficulties, this integration is a strong option because of its benefits in terms of immutability, transparency, and real-time reporting. It is essential to use such cutting-edge technology as industries continue to change in the digital age to guarantee the security and integrity of event records. This article opens the way for a new era in incident tracking, one in which chatbots and blockchain work in balance to bring efficiency and trust together.


  1. Perera, V. H., Senarathne, A. N., & Rupasinghe, L. (2019, December). Intelligent SOC Chatbot for Security Operation Center. In 2019 International Conference on Advancements in Computing (ICAC) (pp. 340-345). IEEE.
  2. Yaga, D., Mell, P., Roby, N., & Scarfone, K. (2019). Blockchain technology overview. arXiv preprint arXiv:1906.11078.
  3. Shahzad, K., Ahmed, H., Ahsan, F., Hussain, K., & Talib, M. N. (2022). Blockchain-Based Supply Chain System Using Intelligent Chatbot with IoT-RFID. In Information Security Handbook (pp. 233-245). CRC Press.
  4. Poonia, V., Goyal, M. K., Gupta, B. B., Gupta, A. K., Jha, S., & Das, J. (2021). Drought occurrence in different river basins of India and blockchain technology based framework for disaster management. Journal of Cleaner Production312, 127737.
  5. Gupta, B. B., & Sheng, Q. Z. (Eds.). (2019). Machine learning for computer and cyber security: principle, algorithms, and practices. CRC Press.
  6. Singh, A., & Gupta, B. B. (2022). Distributed denial-of-service (DDoS) attacks and defense mechanisms in various web-enabled computing platforms: issues, challenges, and future research directions. International Journal on Semantic Web and Information Systems (IJSWIS)18(1), 1-43.
  7. Almomani, A., Alauthman, M., Shatnawi, M. T., Alweshah, M., Alrosan, A., Alomoush, W., & Gupta, B. B. (2022). Phishing website detection with semantic features based on machine learning classifiers: a comparative study. International Journal on Semantic Web and Information Systems (IJSWIS)18(1), 1-24.

Cite As

Sahu P. (2024) Chat-Bots and Blockchain Integration for Immutable and Secure Incident Logging, Insights2Techinfo, pp.1

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