Detector

Risk & Anomaly Monitor

active

Input Contract

User Id user_001
Signal Source live_stream
Time Range 24h
Risk Rules standard_resilience_rules

State

Loading false
Health operational
Last Updated live
endpoint: /api/detector/live
Risk Score 72
medium

Output

Live result surface

High Risk3
Medium Risk7
Low Risk12
Entities1842

Review Required

3 high-risk anomalies require human review. Current pattern suggests medium-level instability across monitored signals.

Core System

Detector Studio: Anomaly and Pattern Detection

Detector Studio is where ZIBADIS looks for things that do not fit. Feed it signals or data and it highlights anomalies and repeating patterns, then scores the risk of each finding so you can decide what deserves a closer look.

What you can do with Detector Studio

  • Flag unusual values and sudden changes in signals
  • Find patterns that repeat across time or sources
  • Prioritise findings by their risk score

How it runs

Detector Studio runs through the ZIBADIS AI OS gateway, which sends each request to AI models hosted on ZIBADIS's own GPU servers rather than a third-party AI cloud. It opens in any modern browser with nothing to install.

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