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@article{196653,
        author = {Harini S and Anuja A.V and Bhubesh M},
        title = {Enhancing Data Security and Network Stability using AIOps with Zero Trust Architecture (ZTA) and Network Detection & Response (NDR)},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3831-3835},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196653},
        abstract = {The rapid expansion of cloud computing, remote work environments, and distributed IT infrastructures has significantly increased the complexity of maintaining data integrity and ensuring robust cybersecurity. Traditional perimeter-based security models are no longer sufficient to protect sensitive organizational data against sophisticated cyber threats. Artificial Intelligence for IT Operations (AIOps) has emerged as an advanced solution that leverages machine learning and big data analytics to automate threat detection, anomaly identification, and incident response. When integrated with modern security frameworks such as Zero Trust Architecture (ZTA) and Network Detection and Response (NDR), AIOps enhances real-time decision-making and strengthens data protection mechanisms. This paper presents a comprehensive comparative analysis of AIOps integrated with ZTA (AIOps-ZTA) and AIOps integrated with NDR (AIOps-NDR), with a primary focus on data security, data integrity, and secure data transfer mechanisms. ZTA operates on a preventive model by enforcing strict identity verification and continuous access validation, thereby minimizing unauthorized access risks. In contrast, NDR follows a detective and responsive approach by continuously monitoring network traffic patterns to detect active threats, lateral movement, and data exfiltration attempts.
The study evaluates both approaches based on real-time threat detection capability, vulnerability mitigation, impact on network stability, protection of data during transmission, and overall integrity assurance. The findings indicate that AIOps-ZTA provides stronger proactive access control and identity-based protection, while AIOps-NDR offers superior real-time network visibility and enhanced detection of ongoing attacks affecting data transfer. 
The paper concludes that although each approach has distinct strengths, a hybrid integration model may deliver optimal data integrity and security in modern enterprise environments.},
        keywords = {AIOps, Zero Trust Architecture (ZTA), Network Detection and Response (NDR), Data Integrity, Network Security, Real-Time Threat Detection, Cybersecurity Frameworks.},
        month = {April},
        }