AI-Powered Log Analysis
Every security event enriched, classified, and explained
What it does
Every security event collected by AlertMonitor — Windows event logs, Linux syslog, network device logs, firewall traffic — passes through the AI enrichment pipeline before a human analyst sees it. Each event gets severity classification, full infrastructure context, and a plain-English explanation of what happened and why it matters. Your analyst arrives at every alert already briefed.
Context turns logs into answers: Raw logs require domain expertise to interpret. AI Log Analysis removes that dependency — every event arrives with context pre-attached. Junior analysts perform at senior level. Experienced analysts work faster. Everyone spends time on decisions, not data assembly.
Capabilities
- Windows Event Log enrichment: 4625 becomes "7 failed logins in 3 minutes from external IP — possible brute force"
- Linux syslog analysis: auth failures, sudo abuse, cron changes, SSH key modification
- Firewall log normalization: blocked connections contextualized against the source's risk profile
- Network device logs: config changes, authentication events, interface state changes classified
- CVE correlation: observed service versions matched against current vulnerability databases
- Threat intel overlay: source IPs and domains cross-referenced against live threat feeds
How it works
Log ingestion uses a multi-protocol collector supporting syslog (UDP/TCP), Windows Event Forwarding, and agent-based collection. Collected logs are normalized to a unified event schema and processed through a classification pipeline: rule-based enrichment first for speed, then transformer-model classification for context generation. The plain-English explanation uses retrieval-augmented generation drawing from AlertMonitor's threat intelligence knowledge base.