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AB
Akash Bishnoi
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Security · Case Study

Sentinel — Cyber Security Dashboard

Realtime threat intelligence command center.

A SOC-grade dashboard fusing live SIEM feeds, attacker geolocation, and AI-assisted triage into a single cinematic command surface.

Next.jsWebSocketsSIEMAI Triage

Product Demo

Interactive workspace

Explore the product workflow with a fixed local dataset. Controls and state changes are functional; the demo makes no external requests and requires no account or API key.

SentinelAlert investigation
Detection healthy
AB
Open alerts
2
Across monitored estate
Acknowledged
1
Under active review
Median triage
6m 12s
Within 10m objective
Coverage
98.7%
1,842 reporting assets

Alert queue

4 matching investigations

AlertSeverityAssetStatusDetected
Suspicious identity token replay
ALT-24091 · Identity Analytics
Criticalidp-prod-02Open09:42 UTC
Unusual archive created on finance share
ALT-24087 · Endpoint Detection
Highfs-fin-01Acknowledged09:18 UTC
Administrative group membership changed
ALT-24082 · Directory Audit
Highdc-eu-03Open08:56 UTC
Outbound connection to newly registered domain
ALT-24074 · Network Detection
Mediumwkstn-1842Closed08:31 UTC

ALT-24091

idp-prod-02 · Unassigned

Open

Suspicious identity token replay

The same privileged session token was observed from two autonomous systems within four minutes.

Account
svc-deploy@corp.example
Source addresses
198.51.100.24, 203.0.113.61
Correlation rule
ID-118 / Token replay across ASN
Confidence
96% / 14 linked events
Evidence retained 180 days

The Problem

Security teams are buried in noise — disparate consoles, alert fatigue, and slow human triage. Decisions that should take seconds take hours.

The Solution

A unified, opinionated dashboard that ingests SIEM streams, enriches every event with threat intel, and uses an LLM-powered triage layer to rank, cluster, and explain incidents in plain English — so analysts focus on response, not parsing.

Key Features

Live Threat Stream

Sub-second ingestion via WebSockets with on-the-fly correlation across log sources.

AI Triage Layer

An LLM scoring model that ranks alerts, clusters duplicates, and writes a one-line summary per incident.

Geo Attack Map

Animated globe pinpointing attacker origins, with great-circle arcs showing campaign spread.

Playbook Runner

One-click response actions — quarantine host, rotate keys, open ticket — with audit trail.

Forensic Timeline

Reconstructs the kill-chain for any incident with packet, log, and process evidence side-by-side.

Role-Aware Views

Tailored surfaces for analysts, IR leads, and executives — same data, three altitudes.

Architecture

  1. 1Edge gateway authenticates clients and fans out a single WebSocket multiplex per analyst.
  2. 2Stream processors enrich raw SIEM events with threat-intel feeds (MISP, AbuseIPDB) before persisting to ClickHouse.
  3. 3An async LLM worker scores and summarizes events; results cached in Redis to avoid recomputation.
  4. 4React Server Components handle the heavy historical views; live tiles hydrate over the WS multiplex.

Outcomes

−72%
Mean Time to Triage
84%
Alert Volume Suppressed
12M
Daily Events Processed
180ms
P95 Latency

Highlights

  • Zero-trust auth across the entire surface
  • Air-gapped deployment supported
  • Replayable forensic timelines
  • Cinematic UI built for 24/7 SOC walls