STRENGTHENING CYBER DEFENSE THROUGH THREAT INTELLIGENCE: ADDRESSING FINANCIALLY MOTIVATED ATTACKS

Abstract

Background

Organizations are facing great challenges as financially motivated cyberattacks, such as phishing, ransomware, and financial fraud, keep growing and becoming more common. Frequently, traditional cybersecurity methods and solutions are proving inadequate to tackle the new cyber threats, requiring proactive and intelligence-based security strategies. Threat intelligence has become a vital tool for strengthening cyber defense efforts, boosting cyber situational awareness and mitigating operational and financial risk.  

Objective

The purpose of this study was to explore how threat intelligence can be used to enhance an organization's cybersecurity response to financially motivated cyberattacks. The study also assessed the workings of AI-based threat detection technologies, organizational preparedness approaches, and threats in implementing threat intelligence frameworks.

Methodology

The research design applied was quantitative research design that was of descriptive and analytical nature. The sample was composed of 310 cybersecurity professionals, IT staff, and network administrators, security managers and executives of different industries. The data collection method used was a structured close-ended questionnaire with 5-point likert scale. Statistical analysis was done using frequencies, percentages, means, standard deviations, Cronbachs Alpha reliability test and chi-square analysis.   

Results

It also determined that there was a high level of agreement on the usefulness of threat intelligence in improving cybersecurity defense. Both Financially Motivated Cyber Attacks (M = 4.31, SD = 0.66) and Effectiveness of Threat Intelligence in Cyber Defense (M = 4.24, SD = 0.69) had the highest average scores. Another important point that the respondents agreed upon is that AI integration enhances the threat detection (M = 4.36, SD = 0.61) and phishing attacks still pose a significant cybersecurity threat (M = 4.42, SD = 0.60). The findings of the reliability check indicated that there is good internal consistency of the scale, with Cronbach Alpha of 0.90. The research also found that there were certain issues with the implementation of the system such as high costs of implementation, shortage of cyber security personnel and the inability to handle a lot of threat data.    

Conclusion

The study concludes that threat intelligence, combined with AI and collaborative cybersecurity approaches, can be effective in boosting cybersecurity resilience and organizational cyber defense against financially motivated cyberattacks. Ongoing investments in AI-driven cybersecurity system, staff education, and threat intelligence exchange are crucial for building safe and sustainable cybersecurity environment.