Classified Investigation Workspace
Enterprise AI Data Intelligence Console. Autonomous anomaly discovery, deterministic forensic evidence chains, topological knowledge graphs, and grounded LLM reasoning.
NEURAL CORE v3.0
99.8% PRECISION
EVIDENCE LOCKED
Data Hygiene Score
6 anomalies flagged. Cleanliness 84%.
Sales Trend
Top Products
Regional Share
Recent Investigation Findings
| ID | Title | Category | Severity | Affected |
|---|
Issue Breakdown
Quick Actions
Upload Dataset
Upload any CSV dataset to run automated anomaly detection, forensic audits, and AI querying.
Drop CSV file here
or click to browse your computer (.csv format, up to 25MB)
One-Click Sample Datasets
Sales Dataset (Planted Issues)
51 records containing null prices, duplicates, formula drift, and statistical outliers.
Clean Baseline Dataset
50 records with 100% verified mathematics, complete fields, and zero anomalies.
Financial Ledger Anomaly Set
Enterprise transactions with negative quantities, currency outliers, and audit flags.
Data Profile
Comprehensive schema audit, column statistics, null distributions, and preview.
Investigation Findings
All anomalous events detected by AEGIS X with deterministic methods and proof.
| ID | Title | Category | Severity | Affected | Method & Rule | Action |
|---|
Evidence Explorer
Trace every detected finding directly to its forensic calculation, underlying rows, and proof.
Select Finding to Audit
Forensic Chain Pipeline
100% Deterministic TrailMathematical & Algorithmic Proof
Forensic Details
Raw Evidence Row Inspection
Investigation Graph
Interactive topology mapping relationships across Datasets, Columns, Findings, and Records.
Investigation Topology
Click any node on the graph to inspect connected components and properties.
Entity Relationship Register
| Origin | Relationship | Target | Evidence |
|---|
AI Copilot — Investigation Console
Natural language query engine grounded strictly in active dataset evidence and findings.
Investigation Report
Formal compliance, audit, and data quality investigation dossier.
Executive Summary
Severity Risk Distribution
Applied Audit Methodologies
Comprehensive Findings Register
| ID | Title | Category | Severity | Affected | Methodology | Remediation Advice |
|---|
Regulatory & Compliance Disclaimer
AEGIS X investigation reports apply automated deterministic tests, interquartile range (IQR 3×) fencing, and relational algebraic constraints. All findings must be reviewed by the designated data controller or lead auditor before taking remediation actions in production systems.
Dataset Comparison
Side-by-side comparative diff: detect data drift, schema shifts, and anomaly delta across versions.
Dataset A (Primary Active)
Sales_Analysis_Dataset.csvDataset B (Comparison Benchmark)
Clean_Sales_Baseline.csvColumn Drift & Value Variance
| Column | Type | Missing in A | Missing in B | Mean (Dataset A) | Mean (Dataset B) | Drift Status |
|---|
Admin & Platform Settings
Manage admin clearance, security credentials, neural intelligence engine, and import live web datasets.
Restore Default State
Re-load original baseline dataset and reset cached settings