Predictive Vulnerability Intelligence for Autonomous Infrastructure Security and Compliance Management with AI-Enabled Analytics
DOI:
https://doi.org/10.15662/IJEETR.2024.0606021Keywords:
AI enabled predictive vulnerability intelligence, autonomous cloud infrastructure security, compliance management systems, AI driven cybersecurity analytics, cloud vulnerability management, predictive threat intelligence, secure cloud infrastructure, intelligent risk assessment, automated security monitoring, cloud compliance frameworks, machine learning security analytics, adaptive cyber defenseAbstract
The rapid adoption of cloud computing and digital transformation has created increasingly complex enterprise infrastructures, exposing organizations to sophisticated cyber threats and regulatory compliance challenges. Traditional security models are reactive, often detecting vulnerabilities after exploitation, which can lead to data breaches, operational downtime, and regulatory penalties. To address these challenges, predictive security approaches leveraging artificial intelligence (AI) are emerging as critical tools for proactive vulnerability management. This research proposes an AI-enabled predictive vulnerability intelligence framework designed for autonomous cloud infrastructure security and compliance management. The framework leverages machine learning models to analyze system logs, network traffic, configuration data, and threat intelligence feeds, enabling real-time identification of vulnerabilities and potential attack vectors. By integrating predictive analytics with cloud-native automation, the system can automatically prioritize risks, recommend mitigations, and enforce security policies across multi-cloud and hybrid environments. In addition, the framework incorporates compliance management modules that ensure adherence to regulatory standards such as HIPAA, GDPR, PCI DSS, and SOC 2. Autonomous decision-making and self-healing mechanisms minimize human intervention, reduce response times, and enhance operational resilience. The proposed architecture enables enterprises to proactively secure cloud infrastructures, maintain compliance, and optimize resource allocation, ensuring a scalable, intelligent, and resilient digital ecosystem.
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