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AI-Powered Threat Intelligence: Revolutionizing Cybersecurity with Proactive Risk Management for Critical Sectors

Author

Listed:
  • S A Mohaiminul Islam
  • MD Shadikul Bari
  • Ankur Sarkar
  • A J M Obaidur Rahman Khan
  • Rakesh Paul

Abstract

The rapid evolution of cyber threats has necessitated a paradigm shift in cybersecurity strategies, particularly in critical sectors such as healthcare, finance, energy, and transportation. This paper explores the transformative role of AI-powered threat intelligence in revolutionizing cybersecurity practices. By leveraging advanced machine learning algorithms, natural language processing, and predictive analytics, AI-driven systems can detect, analyze, and mitigate threats with unprecedented speed and accuracy. This research highlights the integration of real-time data processing, threat intelligence platforms, and adaptive security frameworks to enable proactive risk management. Case studies and experimental results underscore the effectiveness of AI-powered approaches in anticipating cyberattacks, reducing response times, and minimizing operational disruptions. The findings demonstrate that AI is not merely a tool but a pivotal enabler of robust, adaptive, and scalable cybersecurity strategies in the face of an ever-evolving threat landscape.

Suggested Citation

  • S A Mohaiminul Islam & MD Shadikul Bari & Ankur Sarkar & A J M Obaidur Rahman Khan & Rakesh Paul, 2024. "AI-Powered Threat Intelligence: Revolutionizing Cybersecurity with Proactive Risk Management for Critical Sectors," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 7(01), pages 1-8.
    • Handle: RePEc:das:njaigs:v:7:y:2024:i:01:p:1-8:id:291
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    Citations

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    Cited by:

    1. Sandeep Pochu & Sai Rama Krishna Nersu & Srikanth Reddy Kathram, 2024. "Zero Trust Principles in Cloud Security: A DevOps Perspective," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 6(1), pages 660-671.
    2. Sandeep Pochu & Sai Rama Krishna Nersu & Srikanth Reddy Kathram, 2024. "Enhancing Cloud Security with Automated Service Mesh Implementations in DevOps Pipelines," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 7(01), pages 90-103.
    3. Sandeep Pochu & Sai Rama Krishna Nersu & Srikanth Reddy Kathram, 2024. "Multi-Cloud DevOps Strategies: A Framework for Agility and Cost Optimization," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 7(01), pages 104-119.
    4. Md Shaikat Alam Joy & Gazi Touhidul Alam & Mohammed Majid Bakhsh, 2024. "Transforming QA Efficiency: Leveraging Predictive Analytics to Minimize Costs in Business-Critical Software Testing for the US Market," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 7(01), pages 77-89.
    5. Dr. Alejandro García, 2024. "AI at the Crossroads of Health and Society: Emerging Paradigms," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 7(01), pages 150-160.

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