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April 16, 2026Open Access

An Omni-Adaptive Cognitive Security Framework for Multi-Cloud Environments

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Authors

HMHarthy ManthenaSMShravya Reddy MareddyMKMaansi Kaluva

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Overview

This framework demonstrates improved security in multi-cloud environments, indicating enhanced protection against cyber threats.

Key Points

  • The aim is to create a security framework that adapts to real-time threats in multi-cloud environments.
  • Integrates cloud activity logs from AWS, Azure, and Google Cloud
  • Employs machine learning models like Random Forest, SVM, and Isolation Forest
  • Implements a Cognitive Security Layer for ongoing threat monitoring
  • Utilizes a Dynamic Policy Adaptation Layer to adjust access controls
  • Incorporates adversarial testing and data anonymization techniques
  • Aiming for a 90-95% reduction in unauthorized access incidents
  • Anticipated over 20% improvement in overall security scoring
  • Enhances real-time detection accuracy and reduces false positives

Cite This Study

Manthena et al. (2026) studied this question.

synapsesocial.com/papers/69e07d8f2f7e8953b7cbe757https://doi.org/10.5281/zenodo.19567169
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Also Consider

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