By: Pinaki Sahu, International Centre for AI and Cyber Security Research and Innovations (CCRI), Asia University, Taiwan, 0000pinaki1234.kv@gmail.com
Abstract
Messaging applications have become widespread modes of communication in the digital era. Unfortunately, they’ve also become breeding grounds for cyber risks, including common malware, phishing attacks, and social engineering threats. To fight these challenges, businesses are becoming more dependent on security methods that include chatbots. The purpose of this article is to look at how cyber threat intelligence (CTI) is integrated into chatbots to improve messaging app security.
Introduction
Messaging applications have seamlessly blended into every aspect of our digital lives, providing essential channels for personal and corporate communication. However, because of their extensive use, they have become attractive targets for hackers, offering a variety of challenges ranging from malware distribution to phishing attempts to social engineering threats. The effects of these cyberattacks can be harmful leading to data breaches, financial loss, and reputational harm. Traditional safety precautions are frequently insufficient in the face of these emerging dangers.
To fight these digital threats, organizations are now adopting new solutions that leverage chatbots and cyber threat notifications. This combination of technical and cybersecurity expertise provides a devastating defense against modern threats hidden in messaging systems. In this article, we explore the interplay between chatbots and cyber threat intelligence, explaining how this convergence is changing the way we protect and fortify our digital communications against ongoing cybercrime threats of the daily.
The Role of Cyber Threat Intelligence
Cyber threat intelligence (CTI) is the foundation of proactive security management. That includes gathering, analysing , and sharing information about potential threats and vulnerabilities[1]. CTI empowers organizations to anticipate and respond to cyber threats in real time. By integrating CTI into messaging app security, organizations can stay one step ahead of cyber adversaries. The key step of providing a secure messaging application using CTI which is shown in fig.1 are:
1. Threat data collection: CTI platforms collect data from a variety of sources, including open-source feeds, internal network logs, and dark web monitoring. This data forms the basis for understanding the current threat landscape[1].
2. Context analysis: CTI experts analyse threat data to provide context and relevance. This analysis helps organizations prioritize threats and allocate resources more effectively[1].
3. Indicator of Compromise (IoC) Sharing: IoCs are important indicators of a potential security incident. CTI enables IoCs to work with chatbots, enabling them to quickly identify and respond to known threats[1][2].
4. Threat Intelligence: Organizations subscribe to a threat intelligence service that provides timely information about emerging threats. These feeds improve the chatbot’s knowledge and enhance its ability to detect threats[2].
The Synergy of CTI and Chatbot-Assistant Defense:
Powered by artificial intelligence (AI) and natural language processing (NLP), chatbots are leading the way in security in messaging apps. Their power extends beyond passive conversation. Combined with CTI, chatbots become formidable managers of an organization’s digital communications.
1. Real-time threat detection: Chatbots are programmed to analyse messages, attachments and links in real time. This data is cross-referenced with IoCs and threat intelligence feeds, enabling the detection and prevention of suspicious content.
2. User awareness and training: Chatbots are not just security measures; They also work as teachers. Users are notified of potential threats, advised of safe practices, and identified common attack methods.
3. Incident response: When a security incident occurs, chatbots can launch an automatic incident response, such as if accounts or devices are compromised isolation, alerting security forces, and gathering evidence for forensic investigation .
4. Flexible configuration: Organizations can tailor chatbot security to their specific needs. These policies can include object filtering, access, and data loss prevention.
Benefits and Challenges:
The integration of CTI with chatbot-assisted defence in messaging apps offers several advantages shown in fig.2:
But there are challenges that need to be addressed, including the need for accurate and timely threat intelligence, the risk of false positives, and chatbot systems a it is continuously revised to stay ahead of changing threats[3].
Conclusion
Cyberthreat reporting and chatbot-assisted security in messaging apps represent a powerful synergy in the fight against cyber threats. By combining dynamic CTI insights with the real-time, automation capabilities of chatbots, organizations can strengthen their security posture, protect, and retain critical data their digital communication integrity. As messaging systems continue to evolve, chatbots and its role. Threat intelligence will become increasingly important to secure our digital conversations and preserve trust in communication systems on this ubiquitous.
References
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Cite As
Sahu P. (2024) Cyber Threat Intelligence (CTI) and Chatbot-Assisted Defence in Messaging, Insights2Techinfo, pp.1