{"id":99,"date":"2026-06-08T14:24:14","date_gmt":"2026-06-08T14:24:14","guid":{"rendered":"https:\/\/cahyono.web.id\/?p=99"},"modified":"2026-06-08T14:24:14","modified_gmt":"2026-06-08T14:24:14","slug":"free-siem-and-soar-recommendations-for-reliable-cybersecurity","status":"publish","type":"post","link":"https:\/\/segoromulyo.com\/?p=99","title":{"rendered":"Free SIEM and SOAR Recommendations for Reliable Cybersecurity"},"content":{"rendered":"<p><span dir=\"auto\"><span class=\"\" dir=\"auto\">Choosing a free\u00a0<\/span><\/span><strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">SIEM (Security Information and Event Management)<\/span><\/span><\/strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">\u00a0and\u00a0<\/span><\/span><strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">SOAR (Security Orchestration, Automation, and Response)<\/span><\/span><\/strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">\u00a0solution requires a thorough understanding of log scale requirements, team capabilities, and hidden operational costs. This article discusses the best recommendations for cybersecurity teams on a budget, examining core feature comparisons, deployment architectures, and implementation strategies to ensure the team&#8217;s time investment is not wasted.<\/span><\/span><\/p>\n<h2><span dir=\"auto\">Comparison of Architecture and Core Capabilities of Free Platforms<\/span><\/h2>\n<p><span dir=\"auto\">Not all \u201cfree\u201d is created equal. There are fundamental differences between\u00a0<\/span><em><span dir=\"auto\">the self-hosted open-source<\/span><\/em><span dir=\"auto\">\u00a0,\u00a0<\/span><em><span dir=\"auto\">freemium cloud<\/span><\/em><span dir=\"auto\">\u00a0, and\u00a0<\/span><em><span dir=\"auto\">community edition<\/span><\/em><span dir=\"auto\">\u00a0models that affect the total cost of ownership (TCO).<\/span><\/p>\n<h3><span dir=\"auto\">1. Wazuh: King of Endpoint Visibility &amp; Compliance<\/span><\/h3>\n<p><strong><span dir=\"auto\">Wazuh<\/span><\/strong><span dir=\"auto\">\u00a0dominates the\u00a0<\/span><em><span dir=\"auto\">host-based intrusion detection<\/span><\/em><span dir=\"auto\">\u00a0(HIDS) segment with its lightweight, multi-OS agent. Its strengths include not only log aggregation but also\u00a0<\/span><strong><span dir=\"auto\">real-time File Integrity Monitoring (FIM)<\/span><\/strong><span dir=\"auto\">\u00a0,\u00a0<\/span><em><span dir=\"auto\">rootkit detection<\/span><\/em><span dir=\"auto\">\u00a0, and built-in\u00a0<\/span><strong><span dir=\"auto\">SCAP\/OpenSCAP compliance<\/span><\/strong><span dir=\"auto\">\u00a0modules (PCI-DSS, GDPR, HIPAA).<\/span><\/p>\n<ul>\n<li><strong><span dir=\"auto\">Architecture:<\/span><\/strong><span dir=\"auto\">\u00a0Manager (Analyzer) + Indexer (OpenSearch) + Dashboard (OpenSearch Dashboards). Can be\u00a0<\/span><em><span dir=\"auto\">single-node<\/span><\/em><span dir=\"auto\">\u00a0for labs, or\u00a0<\/span><em><span dir=\"auto\">clustered<\/span><\/em><span dir=\"auto\">\u00a0for production.<\/span><\/li>\n<li><strong><span dir=\"auto\">SOAR Capability: Native\u00a0<\/span><\/strong><em><span dir=\"auto\">Active Response<\/span><\/em><span dir=\"auto\">\u00a0(block IP, delete file, restart service) based on shell\/Python scripts. It doesn&#8217;t have\u00a0<\/span><em><span dir=\"auto\">a visual playbook builder<\/span><\/em><span dir=\"auto\">\u00a0like SOAR Enterprise, but it&#8217;s highly deterministic for low-level automated responses.<\/span><\/li>\n<li><strong><span dir=\"auto\">Hidden Cost:<\/span><\/strong><span dir=\"auto\">\u00a0OpenSearch storage requires large RAM (min 16-32GB for small production) and complex JVM\/heap size tuning.<\/span><\/li>\n<\/ul>\n<h3><span dir=\"auto\">2. Elastic Stack (ELK) + Fleet: Ultimate Data Lake Flexibility<\/span><\/h3>\n<p><span dir=\"auto\">Using\u00a0<\/span><strong><span dir=\"auto\">Elastic Agent (Fleet)<\/span><\/strong><span dir=\"auto\">\u00a0eliminates the headache of configuring Logstash\/Beats per server. The\u00a0<\/span><em><span dir=\"auto\">Basic License<\/span><\/em><span dir=\"auto\">\u00a0(free) includes\u00a0<\/span><strong><span dir=\"auto\">a Detection Engine (SIEM)<\/span><\/strong><span dir=\"auto\">\u00a0,\u00a0<\/span><em><span dir=\"auto\">Machine Learning jobs<\/span><\/em><span dir=\"auto\">\u00a0(anomaly detection), and\u00a0<\/span><strong><span dir=\"auto\">Case Management<\/span><\/strong><span dir=\"auto\">\u00a0for investigation workflows.<\/span><\/p>\n<ul>\n<li><strong><span dir=\"auto\">Strengths:<\/span><\/strong><span dir=\"auto\">\u00a0The industry&#8217;s most powerful query language (KQL\/Lucene); native\u00a0<\/span><em><span dir=\"auto\">threat intelligence<\/span><\/em><span dir=\"auto\">\u00a0integration (MISP, OTX, Abuse.ch).<\/span><\/li>\n<li><strong><span dir=\"auto\">Free Limitations:\u00a0<\/span><\/strong><strong><span dir=\"auto\">No ML-based Alerting<\/span><\/strong><span dir=\"auto\">\u00a0,\u00a0<\/span><em><span dir=\"auto\">no native watcher\/alerting<\/span><\/em><span dir=\"auto\">\u00a0(must use a tercer plugin like ElastAlert2 or Cron job), and\u00a0<\/span><strong><span dir=\"auto\">no RBAC\/Field-level security<\/span><\/strong><span dir=\"auto\">\u00a0.<\/span><\/li>\n<li><strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">SOAR:<\/span><\/span><\/strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">\u00a0External integration is required (n8n, Tines Community, Shuffle) because\u00a0<\/span><\/span><em><span dir=\"auto\"><span class=\"\" dir=\"auto\">Case Management<\/span><\/span><\/em><span dir=\"auto\"><span class=\"\" dir=\"auto\">\u00a0is just ticketing, not orchestration.<\/span><\/span><\/li>\n<\/ul>\n<h3><span dir=\"auto\">3. Splunk Free \/ Splunk Cloud Trial vs. LimaCharlie \/ CrowdStrike Falcon Go<\/span><\/h3>\n<p><strong><span dir=\"auto\">Splunk Free (500MB\/day)<\/span><\/strong><span dir=\"auto\">\u00a0is only suitable for\u00a0<\/span><em><span dir=\"auto\">home labs<\/span><\/em><span dir=\"auto\">\u00a0or POCs with 1-2 servers. For a real team, consider\u00a0<\/span><strong><span dir=\"auto\">LimaCharlie<\/span><\/strong><span dir=\"auto\">\u00a0(free for up to 2 sensors\/endpoints, cloud-native EDR + SIEM + SOAR) or\u00a0<\/span><strong><span dir=\"auto\">CrowdStrike Falcon Go<\/span><\/strong><span dir=\"auto\">\u00a0(free for up to 10 hosts, managed EDR). Both eliminate the burden of\u00a0<\/span><em><span dir=\"auto\">self-hosted<\/span><\/em><span dir=\"auto\">\u00a0infrastructure .<\/span><\/p>\n<h2><span dir=\"auto\">Implementation Strategy: From Log Ingestion to Automated Response<\/span><\/h2>\n<p><span dir=\"auto\">Selecting a tool is 20% of the job; operationalizing it is the remaining 80%. Follow this\u00a0<\/span><em><span dir=\"auto\">maturity model<\/span><\/em><span dir=\"auto\">\u00a0to prevent your team from sinking into\u00a0<\/span><em><span dir=\"auto\">alert fatigue<\/span><\/em><span dir=\"auto\">\u00a0.<\/span><\/p>\n<h3><span dir=\"auto\">Phase 1: Normalization &amp; Enrichment (Week 1-2)<\/span><\/h3>\n<p><span dir=\"auto\">Don&#8217;t create rules right away. First, standardize field mappings to a common schema (ECS for Elastic, OCSF for vendor-neutral). Enable\u00a0<\/span><strong><span dir=\"auto\">GeoIP enrichment<\/span><\/strong><span dir=\"auto\">\u00a0,\u00a0<\/span><em><span dir=\"auto\">ASN lookup<\/span><\/em><span dir=\"auto\">\u00a0, and\u00a0<\/span><strong><span dir=\"auto\">Threat Intel feeds<\/span><\/strong><span dir=\"auto\">\u00a0(AlienVault OTX, Abuse.ch URLHaus) in the ingest pipeline. Use\u00a0<\/span><em><span dir=\"auto\">an ingest processor<\/span><\/em><span dir=\"auto\">\u00a0(Elastic) or\u00a0<\/span><em><span dir=\"auto\">pre-decoder\/decoder<\/span><\/em><span dir=\"auto\">\u00a0(Wazuh) to parse custom internal application logs before the data enters hot storage.<\/span><\/p>\n<h3><span dir=\"auto\">Phase 2: Detection Engineering &amp; Tuning (Week 3-6)<\/span><\/h3>\n<p><strong><span dir=\"auto\">Adoption of the MITRE ATT&amp;CK<\/span><\/strong><span dir=\"auto\">\u00a0framework\u00a0for coverage mapping. Starting with\u00a0<\/span><em><span dir=\"auto\">High Fidelity, Low Volume<\/span><\/em><span dir=\"auto\">\u00a0rules:<\/span><\/p>\n<ul>\n<li><strong><span dir=\"auto\">Sigma Rules:<\/span><\/strong><span dir=\"auto\">\u00a0Industry-standard format. Automatic conversion to Wazuh (KQL) or Elastic (EQL\/KQL) queries via\u00a0<\/span><code>sigmac<\/code><span dir=\"auto\">the backend. This ensures rule portability in the event of a future platform migration.<\/span><\/li>\n<li><strong><span dir=\"auto\">Behavioral Baseline:<\/span><\/strong><span dir=\"auto\">\u00a0Use Elastic&#8217;s native ML (free for\u00a0<\/span><em><span dir=\"auto\">single metric<\/span><\/em><span dir=\"auto\">\u00a0jobs) or Splunk\/Wazuh&#8217;s\u00a0<\/span><em><span dir=\"auto\">stats\/rare command for anomalous\u00a0<\/span><\/em><em><span dir=\"auto\">living-off-the-land binaries<\/span><\/em><span dir=\"auto\">\u00a0(LOLBins)\u00a0detection .<\/span><\/li>\n<li><strong><span dir=\"auto\">Suppression List:<\/span><\/strong><span dir=\"auto\">\u00a0Build\u00a0<\/span><em><span dir=\"auto\">an allowlist<\/span><\/em><span dir=\"auto\">\u00a0based on binary hash + path + parent process\u00a0<\/span><strong><span dir=\"auto\">before<\/span><\/strong><span dir=\"auto\">\u00a0the rule goes live.<\/span><\/li>\n<\/ul>\n<h3><span dir=\"auto\">Phase 3: SOAR &amp; Automated Response (Week 7+)<\/span><\/h3>\n<p><span dir=\"auto\">Don&#8217;t automate\u00a0<\/span><em><span dir=\"auto\">containment<\/span><\/em><span dir=\"auto\">\u00a0(IP blocking, host quarantine) at the start. Start with\u00a0<\/span><strong><span dir=\"auto\">Enrichment &amp; Triage Automation<\/span><\/strong><span dir=\"auto\">\u00a0:<\/span><\/p>\n<ol>\n<li><strong><span dir=\"auto\">Auto-enrichment:<\/span><\/strong><span dir=\"auto\">\u00a0Alert trigger \u2192 Query VirusTotal\/URLScan\/IPInfo \u2192 Add tag\/note to Case\/Ticket.<\/span><\/li>\n<li><strong><span dir=\"auto\">Auto-triage:<\/span><\/strong><span dir=\"auto\">\u00a0Automatic risk scoring (CVSS asset + Severity alert + Threat Intel hit) \u2192 Assign to appropriate analyst.<\/span><\/li>\n<li><strong><span dir=\"auto\">Containment (Phase 2):<\/span><\/strong><span dir=\"auto\">\u00a0Only for\u00a0<\/span><em><span dir=\"auto\">high-confidence<\/span><\/em><span dir=\"auto\">\u00a0IOCs (e.g., verified C2 beaconing, ransomware note drop). Use\u00a0<\/span><strong><span dir=\"auto\">Shuffle (Community)<\/span><\/strong><span dir=\"auto\">\u00a0or\u00a0<\/span><strong><span dir=\"auto\">n8n (Self-hosted)<\/span><\/strong><span dir=\"auto\">\u00a0as a powerful free\u00a0<\/span><em><span dir=\"auto\">playbook engine<\/span><\/em><span dir=\"auto\">\u00a0, API integration to firewalls (Palo Alto, Fortigate), EDR (Wazuh\/LimaCharlie), and ITSM (Jira, GLPI).<\/span><\/li>\n<\/ol>\n<h3><span dir=\"auto\"><span class=\"VIpgJd-yAWNEb-VIpgJd-fmcmS-sn54Q\" dir=\"auto\">Hidden Cost Management &amp; Scalability<\/span><\/span><\/h3>\n<p><strong><span dir=\"auto\">Self-hosted (Wazuh\/ELK):<\/span><\/strong><span dir=\"auto\">\u00a0Dominant cost = Hardware (NVMe SSD, 64GB RAM+ for 3 node cluster) + SRE Time (ES\/OpenSearch upgrade, snapshot\/restore, index lifecycle management\/ILM tuning). Calculate\u00a0<\/span><em><span dir=\"auto\">GB\/day ingestion<\/span><\/em><span dir=\"auto\">\u00a0\u00d7\u00a0<\/span><em><span dir=\"auto\">retention days<\/span><\/em><span dir=\"auto\">\u00a0\u00d7\u00a0<\/span><em><span dir=\"auto\">replication factor<\/span><\/em><span dir=\"auto\">\u00a0for storage estimation.<\/span><\/p>\n<p><strong><span dir=\"auto\">SaaS Free Tier (LimaCharlie, Falcon Go):<\/span><\/strong><span dir=\"auto\">\u00a0Limitations = Number of sensors\/hosts &amp; log retention (typically 7-30 days). Suitable for teams of &lt;5 people &amp; no DevOps capabilities. Migration to a paid plan is usually linear per endpoint\/GB, more predictive than hardware capex.<\/span><\/p>\n<p><span dir=\"auto\"><span class=\"\" dir=\"auto\">In conclusion, for teams with DevOps capabilities and need in-depth\u00a0<\/span><\/span><strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">compliance mapping &amp; FIM<\/span><\/span><\/strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">\u00a0: choose\u00a0<\/span><\/span><strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">Wazuh<\/span><\/span><\/strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">\u00a0. If your priorities are\u00a0<\/span><\/span><strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">ad-hoc threat hunting, ML anomaly detection, &amp; query flexibility<\/span><\/span><\/strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">\u00a0: choose\u00a0<\/span><\/span><strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">Elastic Stack (Basic)<\/span><\/span><\/strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">\u00a0. If your team is small, has minimal infrastructure, and wants instant\u00a0<\/span><\/span><strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">managed EDR+SIEM+SOAR<\/span><\/span><\/strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">\u00a0: choose\u00a0<\/span><\/span><strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">LimaCharlie Free Tier<\/span><\/span><\/strong><span dir=\"auto\"><span class=\"\" dir=\"auto\">\u00a0. Start small, normalize data first, automate triage, then containment, and always measure\u00a0<\/span><\/span><em><span dir=\"auto\"><span class=\"\" dir=\"auto\">Mean Time to Acknowledge (MTTA)<\/span><\/span><\/em><span dir=\"auto\"><span class=\"\" dir=\"auto\">\u00a0as the main KPI.<\/span><\/span><\/p>\n<h2>Related Reading<\/h2>\n<p>For more context, see also: <a href=\"\/10-siem-use-cases-every-security-team-should-implement\/\" title=\"Related article\">SIEM use cases<\/a>.<\/p>\n<h2>Related Reading<\/h2>\n<p>For deeper context on free siem and soar, see also: <a href=\"\/10-siem-use-cases-every-security-team-should-implement\/\" title=\"See SIEM use cases\">SIEM use cases<\/a> and <a href=\"\/optimizing-siem-and-soar-for-better-cybersecurity-defense\/\" title=\"See SOAR automation\">SOAR automation<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Choosing a free\u00a0SIEM (Security Information and Event Management)\u00a0and\u00a0SOAR (Security Orchestration, Automation, and Response)\u00a0solution requires a thorough understanding of log scale requirements, team capabilities, and hidden operational costs. This article discusses the best recommendations for cybersecurity teams on a budget, examining core feature comparisons, deployment architectures, and implementation strategies to ensure the team&#8217;s time investment is [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":500,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22,27],"tags":[97,122,144,145],"class_list":["post-99","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cybersecurity","category-incident-response","tag-free-security-tools","tag-open-source-security","tag-siem","tag-soar"],"_links":{"self":[{"href":"https:\/\/segoromulyo.com\/index.php?rest_route=\/wp\/v2\/posts\/99","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/segoromulyo.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/segoromulyo.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/segoromulyo.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/segoromulyo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=99"}],"version-history":[{"count":0,"href":"https:\/\/segoromulyo.com\/index.php?rest_route=\/wp\/v2\/posts\/99\/revisions"}],"wp:attachment":[{"href":"https:\/\/segoromulyo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=99"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/segoromulyo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=99"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/segoromulyo.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=99"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}