An integrated framework using autoencoders, deep reinforcement learning, and LLMs automates risk-based prioritization and contextual analysis of suspicious network traffic within Splunk SOC environments.
Large Language Models in 6G Security: Challenges and Opportunities
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An LLM-agent framework with RAG automates assessment, justification, and remediation of RAN security compliance for evolving 6G standards.
citing papers explorer
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Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage
An integrated framework using autoencoders, deep reinforcement learning, and LLMs automates risk-based prioritization and contextual analysis of suspicious network traffic within Splunk SOC environments.
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Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance
An LLM-agent framework with RAG automates assessment, justification, and remediation of RAN security compliance for evolving 6G standards.