Abstract :

The Efficiency And Reliability Of Know Your Customer (KYC) Verification Remain Critical Challenges In Modern Persistent Attacks, Especially Advanced Persistent Threats (APTs), Pose A Major Challenge To Modern Enterprise Networks Due To Their Stealthy Behavior, Multi-stage Execution, And Longterm Persistence Within Organizational Infrastructures. Traditional Security Mechanisms Often Fail To Detect Such Attacks In Real Time Because Of The Massive Volume Of Network Traffic, Evolving Attack Patterns, And Sophisticated Evasion Techniques. This Paper Presents An AI-assisted Endto-end Architecture For Detecting Persistent Attacks In Enterprise Environments Using Intelligent Monitoring, Automated Analysis, And Adaptive Threat Detection Techniques. The Proposed Architecture Integrates Network Traffic Analysis, Log Aggregation, Anomaly Detection, Behavioral Analytics, And Machine Learning-based Classification Into A Unified Framework. Artificial Intelligence Techniques, Including Deep Learning And Ensemble-based Models, Are Employed To Identify Malicious Activities Across Different Stages Of The Cyber Kill Chain, Such As Reconnaissance, Lateral Movement, Privilege Escalation, And Data Exfiltration. The System Continuously Collects Data From Multiple Enterprise Sources, Preprocesses And Correlates Events, And Performs Real-time Threat Assessment Using Trained AI Models. To Improve Detection Accuracy And Reduce False Positives, The Framework Incorporates Feature Optimization, Contextual Intelligence, And Adaptive Learning Mechanisms. The Architecture Also Supports Automated Alert Generation, Incident Prioritization, And Response Recommendations For Security Analysts. Experimental Evaluation Demonstrates That The Proposed AI-assisted System Achieves Higher Detection Accuracy, Faster Response Time, And Improved Scalability Compared To Conventional Intrusion Detection Systems. The Proposed Solution Provides A Robust And Scalable Cybersecurity Framework Capable Of Enhancing Enterprise Resilience Against Persistent And Sophisticated Cyberattacks. This Architecture Can Be Effectively Applied In Large-scale Organizational Networks To Strengthen Proactive Threat Detection And Intelligent Security Operations.

Published:

15-2-2026

Issue:

Vol. 26 No. 2 (2026)

Page Nos:

270-277

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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