Submit your papersSubmit Now
For Enquiries: [email protected]
IIARD LogoIIARD

Impact of AI-Driven Threat Intelligence on Organizational Resilience

Ifeanyi C. Emeto, Agbakwuru, A.O. Amanze, B.C, Ifeanyi C. Emeto

Abstract

The growing sophistication of cyber threats has made it difficult for organizations to rely on traditional threat intelligence methods. Conventional security systems are often reactive, slow, and unable to detect advanced or previously unknown attacks effectively. This situation has increased the need for more intelligent and adaptive approaches to cybersecurity. AI-driven threat intelligence uses advanced technologies to collect, analyze, and interpret large volumes of security data in real time, enabling organizations to identify threats early and respond more effectively. This study reviews existing knowledge on AI-driven threat intelligence, explains its key components, and examines its role in improving threat detection and response. It also evaluates the impact of AI-driven threat intelligence on organisational resilience, focusing on preparedness, operational continuity, and recovery from cyber incidents. The study considers real-world applications and case studies to show how organizations benefit from AI-based security systems in practice. In addition, the study discusses the major challenges and limitations associated with AI-driven threat intelligence, including technical complexity, data quality issues, and skill gaps. Finally, future directions and recommendations are provided to guide organizations on effective implementation and sustainable use of AI-driven threat intelligence. The study concludes that when properly deployed, AI-driven threat intelligence significantly enhances organisational resilience by strengthening cybersecurity defenses and supporting long-term stability.

References

[1] S. A. Al-Somali, R. R. Saqr, A. M. Asiri, and N. A. Al-Somali, 'Organizational Cybersecurity Systems and Sustainable Business Performance of Small and Medium Enterprises in Saudi Arabia: The mediating and moderating role of cybersecurity resilience and organizational culture,' Sustainability, vol. 16, no. 5, p. 1880, Feb. 2024, https://doi.org/10.3390/su16051880. [2] O. P. Olaiya et al., 'Cybersecurity strategies in fintech: Safeguarding financial data and assets,' GSC Adv. Res. Rev., vol. 20, no. 1, pp. 50–56, Jul. 2024, https://doi.org/10.30574/gscarr.2024.20.1.0241. [3] Y. Li and Q. Liu, 'A comprehensive review study of cyber-attacks and cyber security; Emerging trends and recent developments,' Energy Rep., vol. 7, pp. 8176–8186, Nov. 2021, https://doi.org/10.1016/j.egyr.2021.08.126. [4] Y. Feng et al., 'A survey of security threats in federated learning,' Complex Intell. Syst., vol. 11, no. 2, Art. no. 165, Apr. 2025, https://doi.org/10.1007/s40747-024-01664-0. [5] S. Abdelkader et al., 'Securing modern power systems: Implementing comprehensive strategies to enhance resilience and reliability against cyber-attacks,' Results Eng., vol. 23, p. 102647, Sep. 2024, https://doi.org/10.1016/j.rineng.2024.102647. [6] T. A. Rajaperumal and C. C. Columbus, 'Transforming the electrical grid: The role of AI in advancing smart, sustainable, and secure energy systems,' Energy Informatics, vol. 8, no. 1, 2025, https://doi.org/10.1186/s42162-024-00461-w. [7] H. Riggs et al., 'Impact, vulnerabilities, and mitigation strategies for cyber-secure critical infrastructure,' Sensors, vol. 23, no. 8, p. 4060, Apr. 2023, https://doi.org/10.3390/s23084060 [8]. R. Vinuesa et al., 'The role of artificial intelligence in achieving the Sustainable Development Goals,' Nat. Commun., vol. 11, no. 1, Art. no. 233, Jan. 2020, https://doi.org/10.1038/s41467-019-14108-y. [9] I. H. Sarker, 'Machine learning: Algorithms, real-world applications and research directions,' SN Comput. Sci., vol. 2, no. 3, Art. no. 160, May 2021, https://doi.org/10.1007/s42979-021- 00592-x. [10] Z. Azam, M. M. Islam, and M. N. Huda, 'Comparative analysis of intrusion detection systems and Machine Learning-Based model analysis through Decision Tree,' IEEE Access, vol. 11, pp. 80348–80391, Aug. 2023, https://doi.org/10.1109/ACCESS.2023.3296444. [11] S. Duchek, 'Organizational resilience: A capability-based conceptualization,' Bus. Res., vol. 13, no. 1, pp. 215–246, Apr. 2020, https://doi.org/10.1007/s40685-019-0085-7. [12] M. F. Safitra, M. Lubis, and H. Fakhrurroja, 'Counterattacking Cyber Threats: A framework for the Future of Cybersecurity,' Sustainability, vol. 15, no. 18, p. 13369, Sep. 2023, https://doi.org/10.3390/su151813369. [13] N. Rane, S. Choudhary, and J. Rane, 'Artificial intelligence for enhancing resilience,' J. Appl. Artif. Intell., vol. 5, no. 2, pp. 1–33, Sep. 2024, https://doi.org/10.48185/jaai.v5i2.1053. [14] P. K. Dey, S. Chowdhury, A. Abadie, E. V. Yaroson, and S. Sarkar, 'Artificial intelligence- driven supply chain resilience in Vietnamese manufacturing small- and medium-sized enterprises,' Int. J. Prod. Res., vol. 62, no. 15, pp. 5417–5456, 2024, https://doi.org/10.1080/00207543.2023.2179859 [15] S. Bankins, A. C. Ocampo, M. Marrone, S. L. D. Restubog, and S. E. Woo, 'A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice,' J. Organiz. Behav., vol. 45, no. 2, pp. 159–182, Feb. 2024, https://doi.org/10.1002/job.2735 [16] P. Budhwar et al., 'Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT,' Hum. Resour. Manage. J., vol. 33, no. 3, pp. 606–659, Jul. 2023, https://doi.org/10.1111/1748-8583.12524 [17] N. Díaz-Rodríguez et al., 'Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation,' Inf. Fusion, vol. 99, p. 101896, Nov. 2023, https://doi.org/10.1016/j.inffus.2023.101896 [18] S. M. Williamson and V. Prybutok, 'The era of Artificial Intelligence Deception: Unraveling the complexities of false realities and emerging threats of misinformation,' Information, vol. 15, no. 6, p. 299, May 2024, https://doi.org/10.3390/info15060299

More Articles from WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY

Stigmatization and Mental Health Among Orphans of Registered Orphanages in Benue State, Nigeria

Author: Phoebe Ibee Atile, Kwasedoo Martha Ngbea Ph.D, Elvis Oblu Ihaji Ph.D

Digital Career Guidance Tools and Career Adaptability Among Undergraduate Students: A Review of Empirical Evidence

Author: Mutong Cecilia Maren, Azor Loveth C., Ronke Olayemi Akintola and Doka II Obadiah, Abimiku

Attachment Styles and Mental Health Among Orphans of Registered Orphanages in Benue State, Nigeria

Author: Phoebe Ibee Atile, Elvis Oblu Ihaji Ph.D, Kwasedoo Martha Ngbea Ph.D