Alert fatigue is a security risk.
Not just an inconvenience.
SOC analysts are buried in Wazuh alerts. The majority are false positives - but every one requires manual review, external lookups across VirusTotal, Shodan, and other tools, and a judgment call. For smaller teams or teams with mixed experience levels, this volume is unsustainable. Analysts burn out. Real threats get missed. Response times slow. And because every IOC investigation happens manually, institutional knowledge never scales. The AI SOC Analyst was built to remove the manual triage burden entirely - so analysts spend their time on confirmed threats, not on noise management.
AI that works the alert queue.
So your team doesn't have to.
The AI SOC Analyst ingests Wazuh alerts in near real-time, analyzes each event against contextual and historical data, investigates all extracted indicators of compromise against threat intelligence and reputation sources, and delivers a plain-language summary with a true/false positive classification and a complete investigation plan - all automatically. Analysts no longer start an investigation from scratch. They start from a structured, evidence-backed brief that tells them exactly what happened, what the AI found, and what to do next. A continuously updated internal threat intelligence database ensures the platform stays current without manual feed management.
Every alert. Investigated. Automatically.
Near Real-Time Wazuh Alert Ingestion
Continuously ingests alerts from Wazuh as they fire - no batch delays, no manual exports. The pipeline processes events as they arrive so analysts always have the freshest picture of the environment.
Automated True / False Positive Triage
The AI evaluates each alert against event context, historical patterns, and threat intelligence data to determine true positive vs. false positive likelihood - eliminating the need for manual first-pass review.
IOC Investigation & Reputation Analysis
Indicators of compromise are automatically investigated against threat intelligence sources and online reputation platforms. IP addresses, domains, file hashes, and URLs are analyzed without the analyst leaving the platform.
Automated Investigation Plan Generation
For true positive alerts, the platform generates a structured, analyst-ready investigation plan with prioritized action steps - so even junior analysts know exactly where to start and what to do.
Live-Updated Threat Intelligence Database
A continuously refreshed internal threat intelligence database built from live internet sources. Threat data stays current without relying on analysts to manually check external feeds.
Wazuh Environment Health Monitoring
Automated monitoring of the Wazuh deployment itself - agent connectivity, log ingestion rates, rule coverage gaps - with proactive alerting when the environment health degrades.
Single-Dashboard Analyst Workspace
All alerts, triage results, IOC lookups, threat intelligence, and investigation plans surface in one dashboard - replacing the need to switch between Wazuh, VirusTotal, Shodan, and other external tools.
Analyst-Ready Alert Summaries
Each processed alert includes a plain-language summary written by the AI - what happened, why it matters, what the likely classification is, and what the next steps are. Designed for speed, not technical jargon.
From alert to action. Five steps.
Ingest
Wazuh alerts stream into the platform in near real-time via the integration layer. Every alert is captured, normalized, and queued for AI analysis - nothing is dropped or delayed.
Analyze
The AI engine evaluates the alert against event context, historical baselines, and correlated signals. Pattern recognition identifies whether this alert type has historically produced true threats or noise in this environment.
Investigate
Indicators of compromise extracted from the alert are automatically checked against the internal threat intelligence database and external reputation sources. Results are aggregated into a single evidence record.
Summarize
The platform generates a human-readable alert summary: what triggered it, the AI classification (true/false positive), confidence score, and supporting evidence from the IOC investigation.
Act
True positive alerts receive a complete, prioritized investigation plan. Analysts see exactly what to do, in what order, with all supporting context - dramatically reducing time from alert to response.