RightITnow ECM vs UTMStack

RightITnow ECM turns events from monitoring tools into root-cause incidents and gives NOC operators and managers a shared view. Configurable rules deduplicate, suppress, and group related alerts. A live dependency graph combines discovered topology with a CMDB and highlights critical paths to show cause and impact. Historical Trends tracks alert volume over 7-day, 30-day, 90-day, and one-year periods, with REST API export. The platform lists 50+ connectors, including SolarWinds, Nagios, Zabbix, Dynatrace, Datadog, AWS, Azure, Google Cloud, and ServiceNow. It supports bidirectional ticket integration with ServiceNow, Jira Software 9.x and Cloud, and BMC. Workflows can trigger remediation scripts, acknowledgements, or escalations when incidents open or clear; AI Incident Narrator creates plain-language summaries. ECM runs as a cloud service or on premises, with dedicated nodes available across Azure, AWS, and Google Cloud. Its iOS app lets on-call engineers receive and manage incidents. The free tier costs nothing for up to 100 managed entities; paid pricing is quote based on entity count, with no per-event licensing. A 45-day trial is listed.

UTMStack is an open-source unified threat management platform that combines SIEM and XDR. It provides log management and correlation, threat detection and response, threat intelligence, alert investigation, file classification, SOC AI-powered analysis, and compliance capabilities. Its modules include vulnerability management, access-rights auditing, automated incident response, endpoint protection, dark-web monitoring, and file tracking. The platform correlates data during ingestion before indexing to support real-time detection and reduce alert noise. Deployment options include an ISO, Ubuntu installer, cloud SaaS tenant, virtualized environments, physical servers, and public-cloud virtual machines. Its v11 guide is designed for Ubuntu 24.04 LTS and also notes Red Hat support. The free trial is free; Essential costs $238.80 a month, billed monthly, and supports 25–50 devices on average with 150 GB HOT storage. Deployments above 500 data sources or devices require secondary worker nodes for horizontal scaling.