Cyber Threat Intelligence Analysis for Proactive Cybersecurity Defense: A Survey and New Perspectives
PERLA MAHESH REDDY, SMT. M. VANI · Journal of engineering sciences. · 2025
Cyber threats continue to evolve in complexity and sophistication, posing significant risks to organizations, governments, and individuals. Traditional reactive security measures are often insufficient to prevent advanced cyberattacks, leading to increased interest in Cyber Threat Intelligence (CTI) as a proactive defense strategy. This paper presents a comprehensive survey of CTI methodologies, data sources, and analytical techniques used for cybersecurity defense. It examines the role of threat intelligence in identifying, analyzing, and mitigating potential cyber threats before they materialize. Additionally, the paper explores new perspectives and emerging trends in CTI, including artificial intelligence (AI)-driven threat detection, big data analytics, and automated threat intelligence sharing. The proposed framework leverages machine learning and real-time data analysis to enhance cybersecurity resilience. Experimental results demonstrate the effectiveness of proactive threat intelligence in reducing response time and improving overall cybersecurity posture.