Ai-powered Intelligent Framework For Detection And Prevention Of Cybersecurity Attacks Using Machine Learning Algorithms

• Author(s):

  Gokul G | Ms. Mahalakshimi

• Keywords:

  Intrusion Detection, Anomaly Detection, SOC, Threat Intelligence. This Implementation-oriented Paper Discusses Architecture Design, Module Interactions, Workflow, Deployment Considerations, Performance Evaluation, And Practical Enterprise Applicability. T

• Abstract:

  This Paper Proposes An AI-powered Cybersecurity Framework Integrating Machine Learning, Deep Neural Networks, Real-time Network Monitoring, Automated Alerting, And Dashboard-driven Response For Enterprise Threat Detection And Prevention. This Implementation-oriented Paper Discusses Architecture Design, Module Interactions, Workflow, Deployment Considerations, Performance Evaluation, And Practical Enterprise Applicability. The Framework Supports Dashboard Visualization, Automated SOC Notification, Anomaly Classification, And Response Orchestration In Operational Environments.

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Other Details

• Paper id:

  IJSARTV12I6105668

• Published in:

  Volume: 12 Issue: 6 June 2026

• Publication Date:

  2026-06-11

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