Cyber Security UI / Correlation Analysis
Security Event Correlation Feed
Incident-focused correlation view for auth, network, secret, and queue signals.
Best for
incident triage, suspicious activity review, and cross-signal investigation
Explains
how auth, secret, queue, and network signals combine into a cluster instead of staying trapped in separate tools
Why it matters
Security work slows down when related evidence is split across logs, dashboards, and alert channels. Correlation brings enough context together to decide faster.
Design Intent
Give responders a compact incident board where confidence, affected surface, indicators, and recommended action stay visible in the same frame.
System Signals
- correlated sources
- confidence score
- affected surface
- recommended containment path
Use Cases
- Correlate failed auth attempts with network and device signals
- Review whether webhook, secret, or worker anomalies belong to the same incident
- Brief engineering or security stakeholders without jumping between tools
Design Notes
- Clusters should summarize evidence before analysts open raw logs
- Confidence needs context, not just a number badge
- Containment guidance should stay concrete and operational
Security Event Correlation Feed
Correlate auth, network, queue, and secret activity into incident clusters teams can review before raw logs sprawl into noise.
Failed sign-ins, ASN concentration, and repeated browser fingerprints suggest automated replay against privileged accounts.
- 18 failed logins from 3 ASNs
- shared device fingerprint across accounts
- burst traffic outside baseline hour window
Block the ASN cluster, force step-up MFA on affected accounts, and preserve the fingerprint set for follow-up review.