AI-Driven Cybersecurity Engineering for Enterprise-Wide Cloud Asset Protection, Application Data Security, and Multi-Cloud Threat Intelligence Automation

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Naresh Kiran Kumar Reddy Yelkoti

Abstract

The accelerated digital transformation of enterprise infrastructure has significantly altered the cybersecurity ecosystem, particularly as many organizations are realizing they have entered into multi-cloud ecosystems that leverage multiple cloud platforms and hybrid environments. This level of distributed architecture provides generally unmatched operational flexibility and scalability, but certainly creates serious security challenges that many legacy cybersecurity frameworks are unable to accommodate. The explosive growth of cloud-based assets and modern cyber threats requires a significant shift in cybersecurity frameworks to include intelligent, adaptive security engineering solutions. This article provides a holistic assessment of an AI-Enhanced Multi-Cloud Security Framework that addresses critical gaps in current enterprise cybersecurity maturity through integration of advanced application protection mechanisms, real-time threat intelligence and processing, and automated security orchestration into an adaptive defense architecture. Organizations can continuously discover assets and improve the efficiency of contextual risk assessment by applying artificial intelligence technologies to risk management methods. Organizations can also detect anomalies in real time while building automated compliance enforcement actions across the vast cloud environments. Automation of AI-based security methods into the DevSecOps process is immense, allowing organizations to conduct digital threat hunting, put in place automated incident responses, and leverage preemptive styles of data protection while continuing their controls. The solution sets the stage for autonomous, adaptable security architectures capable of protecting enterprise data and applications from existing threat vectors, as well as developing AI-influenced cyber attacks, representing a forward-thinking paradigm of the security engineering space within enterprise cybersecurity.

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