Realm AI-Powered Filtering Rules addresses the challenge of controlling SIEM costs while maintaining comprehensive telemetry coverage. The solution targets the common problem where 70-90% of ingested logs provide minimal security value, including routine firewall allow events, redundant authentication logs, and benign system heartbeats. The tool uses artificial intelligence to intelligently filter and reduce log volume before ingestion into SIEM platforms. This approach allows security teams to expand their telemetry coverage across firewall, endpoint, identity, and cloud sources while managing storage, compute, and licensing expenses. The filtering rules are designed to identify and exclude low-value logs that consume substantial SIEM resources but rarely contribute to threat detection or security investigations. By reducing unnecessary log volume, organizations can optimize their SIEM infrastructure costs without sacrificing visibility into sophisticated threats. The solution enables security teams to maintain broader security monitoring coverage across their enterprise environment while addressing the financial constraints associated with traditional SIEM deployments. The AI-powered approach automates the decision-making process for log retention and filtering, reducing the manual effort required to manage log ingestion policies.