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Collects machine-generated logs and events from cloud infrastructure and applications, then uses AI to detect security threats, investigate incidents, and troubleshoot operational problems.

Provides an AI-powered observability platform that unifies logs, metrics, and traces, with AI agents designed to automate incident response and reduce manual troubleshooting.

LogRythm provides Security Information and Event Management (SIEM) and user behavior analytics software for detecting, investigating, and responding to security threats.

AI-powered platform for monitoring and managing IT infrastructure across on-premises, cloud, and hybrid environments, with automated workflows and alert correlation.

Splunk provides a software platform that collects, indexes, and analyzes machine-generated data from IT systems, security devices, and business applications to help organizations monitor, investigate, and respond to operational and security issues.

Sematext provides a SaaS observability platform that collects, correlates, and alerts on logs, metrics, and traces from applications and infrastructure.

Unified cloud monitoring, observability, and security platform that aggregates metrics, logs, traces, and security signals from infrastructure, applications, and data pipelines.

Observe sells a SaaS platform that ingests, correlates, and analyzes logs, metrics, traces, and other telemetry data to help engineering teams monitor and troubleshoot software in production.

Coralogix is an observability platform that ingests, stores, and analyzes logs, metrics, traces, and AI system data without sampling or retention limits, helping engineering teams identify and fix production issues faster.

Mezmo ingests raw telemetry data (logs, metrics, traces) from production systems, deduplicates and curates it into a small set of context-rich signals, and feeds those signals to AI agents that triage, investigate, and remediate incidents autonomously.