Autonomous Incident Response Through Agentic Intelligence for Proactive Cloud Security Operations
DOI:
https://doi.org/10.15662/IJARCST.2025.0806037Keywords:
Agentic Intelligence, Autonomous Incident Response, Cloud Security, Threat Detection, Security Operations, Artificial Intelligence, Automated ResponseAbstract
Cloud environments have become increasingly complex due to distributed architectures, dynamic workloads, microservices, containers, APIs, and multi-cloud deployments, creating significant challenges for conventional security operations. Traditional incident response approaches frequently depend on manually correlated alerts, predefined rules, and sequential analyst intervention, resulting in delayed detection, investigation, containment, and recovery. This paper proposes an autonomous incident response framework based on agentic intelligence for proactive cloud security operations. The proposed approach integrates artificial intelligence agents, cloud telemetry, security analytics, threat intelligence, behavioral analysis, and automated response orchestration to continuously monitor enterprise cloud infrastructure and initiate context-aware defensive actions. Agentic components are designed to collect security events, correlate heterogeneous indicators, assess incident severity, investigate attack patterns, recommend response strategies, and execute authorized containment actions under governance controls. A feedback-driven architecture enables agents to learn from historical incidents and response outcomes while maintaining human oversight for high-impact decisions. The methodology incorporates data ingestion, feature engineering, threat classification, agent-based reasoning, policy enforcement, response orchestration, and performance evaluation. The framework emphasizes proactive risk identification rather than solely reactive alert handling. Expected benefits include reduced mean time to detect and respond, improved alert prioritization, scalable security automation, enhanced threat visibility, and more consistent incident handling across dynamic cloud environments
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