THE ROLE OF CYBER THREAT INTELLIGENCE SHARING IN PREVENTING ATTACKS: CHALLENGES AND BEST PRACTICES

ABSTRACT

Cyber threats are evolving at a very rapid pace, with hackers using more sophisticated methods that have a penchant to bypass conventional security mechanisms. The financial burden of cybercrime will be $10.5 trillion annually in 2025, and hence, proactive cybersecurity is the need of the hour. Cyber Threat Intelligence (CTI) sharing is currently an essential process through which organizations can collaborate to discover, prevent, and respond to cyber attacks. However, most companies’ especially small and medium-sized businesses (SMEs) lack timely and actionable intelligence, and are thus vulnerable to peril. Pre-emptive defense and real-time threat analysis are facilitated by models like MITRE ATT&CK and STIX/TAXII, but interoperability, data privacy regulations (e.g., GDPR), and low stakeholder trust obstruct information sharing. Previous studies and case studies are synthesized by this paper for evaluating the contribution of CTI sharing towards enhancing Cyber resilience. Facts indicate that organizations that participated in sharing communities like ISACs and CERTs have seen up to 40% of successful intrusions decline. Additionally, CTI platforms that utilize AI have increased threat detection by 70%. Despite these benefits, there are still considerable challenges, including that is created by varied threat intelligence formats, compliance limitations, and hesitance on the part of private entities to release sensitive data. The study seeks to address such challenges using anonymized data sharing, greater public-private cooperation, and the creation of AI-driven intelligence processing systems. It demands uniform processes and global cooperation in creating strong cybersecurity infrastructures. State-of-the-art AI-driven CTI systems and regulations that facilitate Cross-border threat intelligence sharing must be studied and created.

Keywords: Cyber Threat Intelligence (CTI), Threat Intelligence Sharing, Cybersecurity Resilience, AI-Driven Threat Detection, Public-Private Cyber Collaboration