Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage
With frequently evolving Advanced Persistent Threats (APTs) in cyberspace, traditional security solutions approaches have become inadequate for threat hunting for organizations. Moreover, SOC (Security Operation Centers) analysts are often overwhelmed and struggle to analyze the huge volume of logs received from diverse devices in organizations. To address these challenges, we propose an automated and dynamic threat hunting framework for monitoring evolving threats, adapting to changing network conditions, and performing risk-based prioritization for the mitigation of suspicious and malicious traffic. By integrating Agentic AI with Splunk, an established SIEM platform, we developed a uniq...
| Authors | Rishikesh Sahay, Bell Eapen, Weizhi Meng et al. |
|---|---|
| Primary category | cs.CR |
| Published | 25 March 2026 |
| Last updated at source | 11 April 2026 |
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