AI-Augmented Security Operations Centers: Predictive Threat Prioritization Using Business Impact Modeling and Machine Learning

The increasingly quick growth in the amount, speed, and complexity of cyber threats has placed a great deal of strain on the operational performance of contemporary Security Operations Centers (SOCs), where analysts frequently must deal with a large volume of alerts and have few contextual prioritization tools at their disposal. The rule-based and Security Information and Event Management (SIEM)-based systems though successful in detection often fail to match the threat response with the organizational risk exposure and hence allocate resources optimally and take a long time to respond to incidents. Within the framework of this research, the authors suggest a threat detection approach using machine learning and business impact modeling with the help of AI to offer predictive and context-centered threat prioritization. Based on publicly available cybersecurity datasets, including CICIDS2017 and UNSW-NB15, various supervised learning models, including Random Forest, Extreme Gradient Boosting (XGBoost), and Logistic Regression, were trained and assessed. A quantitative business impact scoring mechanism based on criticality of assets, operational dependency, and potential financial loss was integrated with these models. The hybrid model suggested above produces a composite prioritization score that indicates the probability of a threat and its possible business impact. Empirical evidence shows that the combined method is much more accurate at prioritization, with greater precision and F1-scores than single machine learning models, and lower mean time to detect (MTTD) and mean time to respond (MTTR). The results underscore the importance of inculcating business conditions into AI-based cybersecurity systems. This work is relevant to the development of intelligent SOC design, as it fills the gap between technical threat detection and the organizational risk management by providing a scalable, data-driven solution to improving cyber resilience in complex enterprise settings.

AI-Augmented SOC, Threat Prioritization, Machine Learning, Business Impact Modeling, Cybersecurity Analytics

Agyepong, E., Cherdantseva, Y., Reinecke, P., & Burnap, P. Challenges and performance metrics for security operations center analysts: a systematic review. Journal of Cyber Security Technology. 2020;4(3):125-152.

Graylog. Supervised AI is the fastest path to better threat triage ROI. 2025.

Agyepong E, Cherdantseva Y, Reinecke P, Burnap P. Challenges and performance metrics for security operations center analysts: a systematic review. Journal of Cyber Security Technology. 2020;4(3):125-152.

Ban T, Samuel N, Takahashi T, Inoue D. Combat security alert fatigue with AI-assisted techniques. Cyber Security Experimentation and Test Workshop. 2021:9-16.

AlMahmeed YS, Al-Omay AY. Zero-day attack solutions using threat hunting intelligence: extensive survey. 2022 International Conference on Data Analytics for Business and Industry. 2022:309-314.

Al-Shaer E, et al. The rise of cognitive SOCs: a systematic literature review on AI approaches. IEEE Open Journal of the Computer Society. 2025;6:360-379.

Khayat M, Barka E, Serhani MA, Sallabi F, Shuaib K, Khater HM. Empowering security operation center with artificial intelligence and machine learning—a systematic literature review. IEEE Access. 2025;13:19162-19197.

Alazab M, Khurma RA, Awajan A, Camacho D. A new intrusion detection system based on moth–flame optimizer algorithm. Expert Systems with Applications. 2022;210:118439.

Alghamdi R, Bellaiche M. An ensemble deep learning based IDS for IoT using lambda architecture. Cybersecurity. 2023;6(1):5.

Giarimpampa D, Meier R, Bissyandé T, Lenders V, Klein J. Exploring the role of artificial intelligence in enhancing security operations: a systematic review. ACM Computing Surveys. 2025.

Cyera. The end of volume-based severity: rebuilding risk assessment with AI. Cyera Research. 2026.

Al-Mahmeed YS, Al-Omay AY. Zero-day attack solutions using threat hunting intelligence: extensive survey. 2022 International Conference on Data Analytics for Business and Industry. 2022:309-314.

Ahire A, Abdallah M. Reinforcement learning for enhancing human security resource allocation in protecting assets with heterogeneous losses. Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems. 2023:9-15.

Aivatoglou G, Anastasiadis M, Spanos G, Voulgaridis A, Votis K, Tzovaras D, Angelis L. A RAkEL-based methodology to estimate software vulnerability characteristics & score—an application to EU project ECHO. Multimedia Tools and Applications. 2022;81(7):9459-9479.

Ahmad A, et al. AI-augmented SOC: a survey of LLMs and agents for security automation. Journal of Cybersecurity and Privacy. 2025;5(4):95.

Canadian AI Association. Automated offense prioritization for SIEM using probabilistic machine learning models. 2024.

Ables J, Kirby T, Anderson W, Mittal S, Rahimi S, Banicescu I, Seale M. Creating an explainable intrusion detection system using self organizing maps. 2022 IEEE Symposium Series on Computational Intelligence. 2022:404-412.

Alves F, Bettini A, Ferreira PM, Bessani A. Processing tweets for cybersecurity threat awareness. Information Systems. 2021;95:101586.

Almukaynizi M, Marin E, Nunes E, Shakarian P, Simari GI, Kapoor D, Siedlecki T. Darkmention: a deployed system to predict enterprise-targeted external cyberattacks. 2018 IEEE International Conference on Intelligence and Security Informatics. 2018:31-36.

Badsha S, Vakilinia I, Sengupta S. Privacy preserving cyber threat information sharing and learning for cyber defense. 2019 IEEE 9th Annual Computing and Communication Workshop and Conference. 2019:708-714.

Bienias P, Kołaczek G, Warzyński A. Architecture of anomaly detection module for the security operations center. 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises. 2019:126-131.

Boualouache A, Engel T. Federated learning-based inter-slice attack detection for 5G-V2X sliced networks. 2022 IEEE 96th Vehicular Technology Conference. 2022:1-6.

Alcaraz C, Lopez J. Digital twin: a comprehensive survey of security threats. IEEE Communications Surveys & Tutorials. 2022;24(3):1475-1503.

Andreica T, Curiac CD, Jichici C, Groza B. Android head units vs. in-vehicle ECUs: performance assessment for deploying in-vehicle intrusion detection systems for the CAN bus. IEEE Access. 2022;10:95161-95178.

Burnap P, French R, Turner F, Jones K. Malware classification using self organising feature maps and machine activity data. Computers & Security. 2018;73:399-410.

AlAhmadi BA, Martinovic I. MalClassifier: malware family classification using network flow sequence behaviour. 2018 APWG Symposium on Electronic Crime Research. 2018:1-13.

Atari M, Al-Mousa A. A machine-learning based approach for detecting phishing urls. 2022 International Conference on Intelligent Data Science Technologies and Applications. 2022:82-88.

Baskaran MM, Henretty T, Ezick J, Lethin R, Bruns-Smith D. Enhancing network visibility and security through tensor analysis. Future Generation Computer Systems. 2019;96:207-215.

Brogan J, Barber N, Cornett D, Bolme D. VDiSC: an open source framework for distributed smart city vision and biometric surveillance networks. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2023:148-154.

Buscemi A, Ponaka M, Fotouhi M, Jomrich F, Koebel C, Engel T. An intrusion detection system against rogue master attacks on gptp. 2023 IEEE 97th Vehicular Technology Conference. 2023:1-7.

Calvo A, Escuder S, Escrig J, Arias M, Ortiz N, Guijarro J. A data-driven approach for risk exposure analysis in enterprise security. 2023 IEEE International Conference on Big Data. 2023.

Althamir MA, Boodai JZ, Rahman MMH. A mini literature review on challenges and opportunity in threat intelligence. 2023 International Conference on Artificial Intelligence in Information and Communication. 2023:558-563.

Ainslie S, Thompson D, Maynard S, Ahmad A. Cyber-threat intelligence for security decision-making: a review and research agenda for practice. Computers & Security. 2023;132:103352.

Alves F, Ferreira PM, Bessani A. Design of a classification model for a twitter-based streaming threat monitor. 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops. 2019:9-14.

ReliaQuest. Build an AI-driven SOC: 6 entry points for safe AI adoption. 2026.

Khater HM, et al. Framework for next generation security operation center powered by artificial intelligence. Doctoral dissertation, United Arab Emirates University. 2025.

Al-Shaer E, et al. Cognitive SOCs: AI-driven security operations. IEEE Computer Society. 2025.

Atari M, Al-Mousa A. Machine learning for phishing detection. 2022 International Conference on Intelligent Data Science Technologies and Applications. 2022.

Baskaran MM, et al. Tensor-based network security analysis. Future Generation Computer Systems. 2019;96:207-215.

Verizon. Data Breach Investigations Report. Verizon Enterprise. 2025.

Ahire A, Abdallah M. Reinforcement learning for security resource allocation. Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems. 2023.

Boualouache A, Engel T. Federated learning for 5G-V2X attack detection. 2022 IEEE 96th Vehicular Technology Conference. 2022.

Andreica T, et al. CAN bus intrusion detection for automotive systems. IEEE Access. 2022;10:95161-95178.

Alcaraz C, Lopez J. Security threats in digital twin environments. IEEE Communications Surveys & Tutorials. 2022;24(3):1475-1503.

Alazab M, et al. Moth-flame optimizer for intrusion detection. Expert Systems with Applications. 2022;210:118439.

Alghamdi R, Bellaiche M. Ensemble deep learning for IoT IDS. Cybersecurity. 2023;6(1):5.

Ables J, et al. Explainable IDS using self-organizing maps. 2022 IEEE Symposium Series on Computational Intelligence. 2022.

Burnap P, et al. Malware classification using SOM and machine activity. Computers & Security. 2018;73:399-410.

AlAhmadi BA, Martinovic I. Malware family classification via network flow. 2018 APWG Symposium on Electronic Crime Research. 2018.

Agyepong E, et al. SOC analyst challenges and metrics. Journal of Cyber Security Technology. 2020;4(3):125-152.

Al-Mahmeed YS, Al-Omay AY. Zero-day attack threat hunting survey. 2022 International Conference on Data Analytics for Business and Industry. 2022.

Badsha S, et al. Privacy-preserving threat intelligence sharing. 2019 IEEE 9th Annual Computing and Communication Workshop and Conference. 2019.

Bienias P, et al. Anomaly detection module architecture for SOC. 2019 IEEE 28th International Conference on Enabling Technologies. 2019.

Alves F, et al. Twitter-based cyber threat monitoring. Information Systems. 2021;95:101586.

Almukaynizi M, et al. Darkmention: predicting enterprise-targeted attacks. 2018 IEEE International Conference on Intelligence and Security Informatics. 2018.

Giarimpampa D, Meier R, Bissyandé T, Lenders V, Klein J. AI in security operations: systematic review. ACM Computing Surveys. 2025.

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Mohammad Majharul Islam, MD Nadil khan, Kirtibhai Desai, MD Mahbub Rabbani, Saif Ahmad, & Esrat Zahan Snigdha. (2025). AI-Powered Business Intelligence in IT: Transforming Data into Strategic Solutions for Enhanced Decision-Making. The American Journal of Engineering and Technology, 7(02), 59–73. https://doi.org/10.37547/tajet/Volume07Issue02-09.

Saif Ahmad, MD Nadil khan, Kirtibhai Desai, Mohammad Majharul Islam, MD Mahbub Rabbani, & Esrat Zahan Snigdha. (2025). Optimizing IT Service Delivery with AI: Enhancing Efficiency Through Predictive Analytics and Intelligent Automation. The American Journal of Engineering and Technology, 7(02), 44–58. https://doi.org/10.37547/tajet/Volume07Issue02-08.

Esrat Zahan Snigdha, MD Nadil khan, Kirtibhai Desai, Mohammad Majharul Islam, MD Mahbub Rabbani, & Saif Ahmad. (2025). AI-Driven Customer Insights in IT Services: A Framework for Personalization and Scalable Solutions. The American Journal of Engineering and Technology, 7(03), 35–49. https://doi.org/10.37547/tajet/Volume07Issue03-04.

MD Mahbub Rabbani, MD Nadil khan, Kirtibhai Desai, Mohammad Majharul Islam, Saif Ahmad, & Esrat Zahan Snigdha. (2025). Human-AI Collaboration in IT Systems Design: A Comprehensive Framework for Intelligent Co-Creation. The American Journal of Engineering and Technology, 7(03), 50–68. https://doi.org/10.37547/tajet/Volume07Issue03-05.

Kirtibhai Desai, MD Nadil khan, Mohammad Majharul Islam, MD Mahbub Rabbani, Saif Ahmad, & Esrat Zahan Snigdha. (2025). Sentiment analysis with ai for it service enhancement: leveraging user feedback for adaptive it solutions. The American Journal of Engineering and Technology, 7(03), 69–87. https://doi.org/10.37547/tajet/Volume07Issue03-06.

Mohammad Tonmoy Jubaear Mehedy, Muhammad Saqib Jalil, MahamSaeed, Abdullah al mamun, Esrat Zahan Snigdha, MD Nadil khan, NahidKhan, & MD Mohaiminul Hasan. (2025). Big Data and Machine Learning inHealthcare: A Business Intelligence Approach for Cost Optimization andService Improvement. The American Journal of Medical Sciences andPharmaceutical Research, 115–135.https://doi.org/10.37547/tajmspr/Volume07Issue0314.

Maham Saeed, Muhammad Saqib Jalil, Fares Mohammed Dahwal, Mohammad Tonmoy Jubaear Mehedy, Esrat Zahan Snigdha, Abdullah al mamun, & MD Nadil khan. (2025). The Impact of AI on Healthcare Workforce Management: Business Strategies for Talent Optimization and IT Integration. The American Journal of Medical Sciences and Pharmaceutical Research, 7(03), 136–156. https://doi.org/10.37547/tajmspr/Volume07Issue03-15.

Muhammad Saqib Jalil, Esrat Zahan Snigdha, Mohammad Tonmoy Jubaear Mehedy, Maham Saeed, Abdullah al mamun, MD Nadil khan, & Nahid Khan. (2025). AI-Powered Predictive Analytics in Healthcare Business: Enhancing OperationalEfficiency and Patient Outcomes. The American Journal of Medical Sciences and Pharmaceutical Research, 93–114. https://doi.org/10.37547/tajmspr/Volume07Issue03-13.

Esrat Zahan Snigdha, Muhammad Saqib Jalil, Fares Mohammed Dahwal, Maham Saeed, Mohammad Tonmoy Jubaear Mehedy, Abdullah al mamun, MD Nadil khan, & Syed Kamrul Hasan. (2025). Cybersecurity in Healthcare IT Systems: Business Risk Management and Data Privacy Strategies. The American Journal of Engineering and Technology, 163–184. https://doi.org/10.37547/tajet/Volume07Issue03-15.

Abdullah al mamun, Muhammad Saqib Jalil, Mohammad Tonmoy Jubaear Mehedy, Maham Saeed, Esrat Zahan Snigdha, MD Nadil khan, & Nahid Khan. (2025). Optimizing Revenue Cycle Management in Healthcare: AI and IT Solutions for Business Process Automation. The American Journal of Engineering and Technology, 141–162. https://doi.org/10.37547/tajet/Volume07Issue03-14.

Hasan, M. M., Mirza, J. B., Paul, R., Hasan, M. R., Hassan, A., Khan, M. N., & Islam, M. A. (2025). Human-AI Collaboration in Software Design: A Framework for Efficient Co Creation. AIJMR-Advanced International Journal of Multidisciplinary Research, 3(1). DOI: 10.62127/aijmr.2025.v03i01.1125

Mohammad Tonmoy Jubaear Mehedy, Muhammad Saqib Jalil, Maham Saeed, Esrat Zahan Snigdha, Nahid Khan, MD Mohaiminul Hasan.The American Journal of Medical Sciences and Pharmaceutical Research, 7(3). 115-135.https://doi.org/10.37547/tajmspr/Volume07Issue03-14.

Junaid Baig Mirza, MD Mohaiminul Hasan, Rajesh Paul, Mohammad Rakibul Hasan, Ayesha Islam Asha. AIJMR-Advanced International Journal of Multidisciplinary Research, Volume 3, Issue 1, January-February 2025 .DOI: 10.62127/aijmr.2025.v03i01.1123 .

Mohammad Rakibul Hasan, MD Mohaiminul Hasan, Junaid Baig Mirza, Ali Hassan, Rajesh Paul, MD Nadil Khan, Nabila Ahmed Nikita.AIJMR-Advanced International Journal of Multidisciplinary Research, Volume 3, Issue 1, January-February 2025 .DOI: 10.62127/aijmr.2025.v03i01.1124.

Gazi Mohammad Moinul Haque, Dhiraj Kumar Akula, Yaseen Shareef Mohammed, Asif Syed, & Yeasin Arafat. (2025). Cybersecurity Risk Management in the Age of Digital Transformation: A Systematic Literature Review. The American Journal of Engineering and Technology, 7(8), 126–150. https://doi.org/10.37547/tajet/Volume07Issue08-14

Yaseen Shareef Mohammed, Dhiraj Kumar Akula, Asif Syed, Gazi Mohammad Moinul Haque, & Yeasin Arafat. (2025). The Impact of Artificial Intelligence on Information Systems: Opportunities and Challenges. The American Journalof Engineering and Technology, 7(8), 151–176. https://doi.org/10.37547/tajet/Volume07Issue08-15

Yeasin Arafat, Dhiraj Kumar Akula, Yaseen Shareef Mohammed, Gazi Mohammad Moinul Haque, Mahzabin Binte Rahman, & Asif Syed. (2025). Big Data Analytics in Information Systems Research: Current Landscape and Future Prospects Focus: Data science, cloud platforms, real-time analytics in IS. The American Journal of Engineering and Technology, 7(8), 177–201. https://doi.org/10.37547/tajet/Volume07Issue08-16

Dhiraj Kumar Akula, Yaseen Shareef Mohammed, Asif Syed, Gazi Mohammad Moinul Haque, & Yeasin Arafat. (2025). The Role of Information Systems in Enhancing Strategic Decision Making: A Review and Future Directions. The American Journal of Management and Economics Innovations, 7(8), 80–105. https://doi.org/10.37547/tajmei/Volume07Issue08-07

Dhiraj Kumar Akula, Kazi Sanwarul Azim, Yaseen Shareef Mohammed, Asif Syed, & Gazi Mohammad Moinul Haque. (2025). Enterprise Architecture: Enabler of Organizational Agility and Digital Transformation. The American Journalof Management and Economics Innovations, 7(8), 54–79. https://doi.org/10.37547/tajmei/Volume07Issue08-06

Suresh Shivram Panchal, Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, & Yogesh Sharad Ahirrao. (2025). Cyber Risk And Business Resilience: A Financial Perspective On IT Security Investment Decisions. The American Journal of Engineering and Technology, 7(09), 23–48.https://doi.org/10.37547/tajet/Volume07Issue09-04

Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, Suresh Shivram Panchal, & Yogesh Sharad Ahirrao. (2025). Fintech Innovation And IT Infrastructure: Business Implications For Financial Inclusion And Digital Payment Systems. The American Journal of Engineering and Technology, 7(09), 49–73. https://doi.org/10.37547/tajet/Volume07Issue09-05.

Asif Syed, Iqbal Ansari, Kiran Bhujel, Yogesh Sharad Ahirrao, Suresh Shivram Panchal, & Yaseen Shareef Mohammed. (2025). Blockchain Integration In Business Finance: Enhancing Transparency, Efficiency, And Trust In Financial Ecosystems. The American Journal of Engineering and Technology, 7(09), 74–99. https://doi.org/10.37547/tajet/Volume07Issue09-06.

Kiran Bhujel, Iqbal Ansari, Kazi Sanwarul Azim, Suresh Shivram Panchal, & Yogesh Sharad Ahirrao. (2025). Digital Transformation In Corporate Finance: The Strategic Role Of IT In Driving Business Value. The American Journal of Engineering and Technology, 7(09), 100–125. https://doi.org/10.37547/tajet/Volume07Issue09-07.

Yogesh Sharad Ahirrao, Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, & Suresh Shivram Panchal. (2025). AI-Powered Financial Strategy: Transforming Business Decision-Making Through Predictive Analytics. The American Journal of Engineering and Technology, 7(09), 126–151. https://doi.org/10.37547/tajet/Volume07Issue09-08.

Keya Karabi Roy, Maham Saeed, Mahzabin Binte Rahman, Kami Yangzen Lama, & Mustafa Abdullah Azzawi. (2025). Leveraging artificial intelligence for strategic decision-making in healthcare organizations: a business it perspective. The American Journal of Applied Sciences, 7(8), 74–93. https://doi.org/10.37547/tajas/Volume07Issue08-07

Maham Saeed. (2025). Data-Driven Healthcare: The Role of Business Intelligence Tools in Optimizing Clinical and Operational Performance. The American Journal of Applied Sciences, 7(8), 50–73. https://doi.org/10.37547/tajas/Volume07Issue08-06

Kazi Sanwarul Azim, Maham Saeed, Keya Karabi Roy, & Kami Yangzen Lama. (2025). Digital transformation in hospitals: evaluating the ROI of IT investments in health systems. The American Journal of Applied Sciences, 7(8), 94–116. https://doi.org/10.37547/tajas/Volume07Issue08-08

Kami Yangzen Lama, Maham Saeed, Keya Karabi Roy, & MD Abutaher Dewan. (2025). Cybersecurityac Strategies in Healthcare It Infrastructure: Balancing Innovation and Risk Management. The American Journal of Engineering and Technology, a7(8), 202–225. https://doi.org/10.37547/tajet/Volume07Issue08-17

Maham Saeed, Keya Karabi Roy, Kami Yangzen Lama, Mustafa Abdullah Azzawi, & Yeasin Arafat. (2025). IOTa and Wearable Technology in Patient Monitoring: Business Analyticacs Applications for Real-Time Health Management. The American Journal of Engineering and Technology, 7(8), 226–246. https://doi.org/10.37547/tajet/Volume07Issue08-18

Bhujel, K., Bulbul, S., Rafique, T., Majeed, A. A., & Maryam, D. S. (2024). Economic Inequality And Wealth Distribution. Educational Administration: Theory and Practice, 30(11), 2109–2118. https://doi.org/10.53555/kuey.v30i11.10294

Groenewald, D. E. S., Bhujel, K., Bilal, M. S., Rafique, T., Mahmood, D. S., Ijaz, A., Kantharia, D. F. A., & Groenewald, D. C. A. (2024). Enhancing Organizational performance through competency-based human resource management: A novel approach to performance evaluation. Educational Administration: Theory and Practice, 30(8), 284–290. https://doi.org/10.53555/kuey.v30i8.7250

Azam, M. A., Ansari, I., Haque, G. M. M., & Jahid, A. (2026). Leveraging Health Information Systems and Predictive Analytics to Improve Patient Outcomes: A Data-Driven Approach. The American Journal of Medical Sciences and Pharmaceutical Research, 8(03), 45–70. https://doi.org/10.37547/tajmspr/Volume08Issue03-06

Jahid, A., Haque, G. M. M., Ansari, I., & Azam, M. A. (2026). Sustainable IT Infrastructure and Green Data Analytics: Measuring Environmental Performance in Digital Enterprises. The American Journal of Engineering and Technology, 8(03), 80–106. https://doi.org/10.37547/tajet/Volume08Issue03-06

Haque, G. M. M., Ansari, I., Bhujel, K., Jahid, A., & Azam, M. A. (2026). Digital Transformation Strategies and IT Governance: Aligning Business Value with Technology Investments. The American Journal of Management and Economics Innovations, 8(3), 24–48. https://doi.org/10.37547/tajmei/Volume08Issue03-02

Ansari, I., Bhujel, K., & Khawaja, U. (2026). AI-Driven Predictive Analytics and DecisionOutcomes in Modern Enterprises: Impacts on Decision Quality, Speed, and Operational Performance. The American Journal of Engineering and Technology, 8(01), 145–167. https://doi.org/10.37547/tajet/Volume08Issue01-16