ResEthiq Data Governance
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ResEthiq Data Governance Platform — real-time overview

New here? Take the interactive tour

3 minutes · Walk through every module · No data required

Datasets Analysed
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all time
Pass Rate
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last 30 runs
Active Alerts
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require attention
Compliance Score
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avg across frameworks
Data Governance Framework
Tier 1 · Discover
Data Quality
Profile, score & certify dataset quality before analysis
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Avg score
0
Runs
1 module →
Tier 2 · Verify
Integrity · Grounding · Provenance
Cryptographic verification, plausibility checks & lineage tracking
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Trust score
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Status
3 modules →
Tier 3 · Monitor
Drift · Bias · Telemetry · Synthetic
Continuous statistical monitoring & representativeness checks
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Drift PSI
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Bias flags
4 modules →
Tier 4 · Audit & Comply
Audit · Compliance · Forensics
Regulatory mapping, full audit trails & forensic analysis
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Compliance %
9
Frameworks
3 modules →
Recent Activity
ResEthiq AI
Data Governance Assistant
Online
Hello! I'm your Data Governance Assistant. Ask me about your datasets, compliance requirements, or how to interpret analysis results.
Getting Started
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Quick Actions
Active Alerts
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Data Library

Upload datasets once — recall for any module. Centralized governance of all your data assets.

Drop datasets here or click to browse
CSV · XLSX · JSON · Parquet · Multiple files supported
Dataset Library
No datasets uploaded yet. Drop a file above to get started.
Tier 1 · Discover

Discover

Profile and certify your dataset quality before deeper analysis

QA
Data Quality
16 automated checks: completeness, validity, consistency, uniqueness, timeliness. Produces a quality score with column-level diagnostics.
Ready Open module →
Tier 2 · Verify

Verify

Cryptographic verification, plausibility checks & data lineage tracking

INT
Data Integrity
Cryptographic fingerprint & Ed25519 signature verification. Detect tampering, version drift, and chain-of-custody breaks.
Ready Open module →
RG
Reality Grounding
5-layer plausibility engine: domain constraints, causal consistency, reference distributions, entity coherence & LLM sanity check.
Ready Open module →
PROV
Data Provenance
Full 14-point provenance analysis: origin tracing, transformation history, source credibility, collection ethics & legal basis.
Ready Open module →
Tier 3 · Monitor

Monitor

Continuous statistical monitoring, representativeness checks & anomaly detection

DRIFT
Drift Detection
Statistical distribution shift between reference and current datasets. PSI, KL-divergence, Kolmogorov-Smirnov tests per column.
Ready Open module →
BIAS
Bias Analysis
Representation, label, selection & measurement bias analysis. Protected attribute detection across 15 demographic dimensions.
Ready Open module →
TEL
Real-Time Telemetry
SPC monitoring & anomaly scoring on all passed datasets. Automatic continuous monitoring with configurable alert thresholds.
Ready Open module →
SYN
Synthetic Detection
Detect synthetic or fabricated data using statistical fingerprinting, entropy analysis & distributional anomaly scoring.
Ready Open module →
Tier 4 · Audit & Comply

Audit & Comply

Regulatory mapping, full audit trails & forensic statistical analysis

AUD
Data Audit
Generate a complete audit trail with timestamps, checksums, access log & 20-point data governance certificate.
Ready Open module →
COMP
Compliance Mapping
Article-level analysis across EU AI Act, GDPR, HIPAA, FDA 21 CFR Part 11, ISO 42001, NIST AI RMF, EEOC/ECOA, NIH & IMDRF.
Ready Open module →
FOR
Forensic Analysis
GRIM test, Caliper test, Terminal Digit analysis, Correlation analysis & Error-Level Analysis (ELA) for research integrity.
Ready Open module →

Model Configuration

Module thresholds, AI/ML model registry & dataset-to-model linking

Module Thresholds
Model Registry
Analysis Thresholds & Sensitivity
Configure pass/fail thresholds for each module. Changes apply to future analysis runs.
Data Quality — minimum score to pass (%)
Drift Detection — PSI alert threshold
Bias Analysis — imbalance ratio alert (%)
Reality Grounding — minimum plausibility (%)
Telemetry — anomaly score alert level
Compliance — minimum section pass rate (%)
Module Settings
Enable LLM-assisted explanations
Auto-save results to history
Send alerts on module failures
Chunked upload for files > 10 MB
AI/ML Model Registry
Register models and link them to datasets in the Data Library for governance tracking.
No models registered yet. Add a model below.
Register New Model

Analysis History

Complete log of all analysis runs with results and downloadable reports

ModuleDatasetRunScoreStatusActions

Data Integrity

Tier 2 · Verify — Schema Drift · Constraints · Version History · Integrity Score · FK Graph

Analysis
Constraints
Schema History
Integrity Score
FK Graph
Tier 2 · Verify — Upload a CSV to run schema drift detection, constraint validation, and integrity scoring. Results are saved to version history automatically.
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Integrity Score
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Schema Drift
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Constraints
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Columns

Data Quality

Tier 1 · Discover — Analysis · Custom Rules · SLA Tracking · Trends · Relationship Validation

Analysis
Custom Rules
SLA Tracking
Quality Trends
Relationships
Fix Suggestions
Tier 1 · Discover — 16 automated quality checks across schema, completeness, consistency, uniqueness and statistical properties. Custom rules run automatically if configured.
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Checks
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QI Score
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Issues
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Grade
Schema Validation
Column types, null constraints, primary key uniqueness
Completeness
Missing values per column, imputable vs critical nulls
Outlier Detection
Z-score, IQR and modified Z-score across numeric columns
Uniqueness
Duplicate rows, near-duplicates, cardinality analysis
Statistical Profile
Mean, std, skewness, kurtosis per column
Referential Integrity
Cross-column consistency and relationship checks
Temporal Consistency
Date range validity, chronological ordering
Custom Rules
Your business rules run automatically on every analysis

Representativeness

Representation, label, selection & measurement bias analysis

Tier 3 · Monitor — 7-dimension bias and representativeness analysis. Flags demographic imbalances, label skew, selection artifacts and measurement bias that could invalidate ML models.
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Bias Flags
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Columns Scanned
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Max Severity
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Representativeness
Representation Bias
Class imbalance and demographic under-representation
Label Bias
Skewed target distributions and annotation inconsistency
Selection Bias
Non-random sampling artifacts and survivorship effects
Measurement Bias
Systematic errors in feature construction or collection
Temporal Bias
Time-period sampling artifacts and recency imbalance
Confirmation Bias
Filters and exclusion criteria that skew conclusions

Drift & Bias Detection

Tier 2 · Monitor — Analysis · Baselines · Alerts · Fairness · Trends

Analysis
Baselines
Alerts
Fairness
Trends
Tier 2 · Monitor — Upload a CSV and select a saved baseline to detect statistical drift via PSI, KS test, and Jensen-Shannon divergence per column. Triggered alerts are shown inline.
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Overall PSI
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Drifted Cols
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Drift Status
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Alerts

Synthetic Detection

Tier 2 · Detect — Analyze · Batch Scan · Heatmap · Compare · Audit Trail

Analysis
Batch Scan
Heatmap
Compare
Audit Trail
Tier 2 · Detect — 19-method synthetic data detection using entropy analysis, Benford's Law, GAN artifacts, SMOTE fingerprints and LLM generation signatures.
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Authenticity
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Entropy Score
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Verdict
19
Fingerprints

Active Alerts

All alerts generated this session

ALT
No alerts yet. Run an analysis to generate alerts.

Risk Register

Consolidated risk view across all analysed datasets

RISK
Run an analysis to populate the risk register.

Executive Reports

Download signed analysis packages

Executive Summary
High-level risk overview for leadership
Technical Report
Full statistical analysis & diagnostics
REG
Regulatory Report
GDPR, EU AI Act, ISO 25012 ready
AUD
Audit Trail Export
Signed JSON bundle for auditors

Data Provenance

14-point provenance analysis: source tracking, lineage, custody, PII, freshness & more

Tier 2 · Verify — 14-point data lineage and chain-of-custody analysis. Tracks source attribution, consent, transformation history, PII exposure, freshness and ownership across the data lifecycle.
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Trust Score
14
Checks
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PII Columns
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Freshness
Source Attribution
Origin system, collection method, API vs manual
Data Lineage
Transformation chain from raw to analysed form
Consent Verification
Data use rights, consent flags, license compliance
PII Detection
Email, SSN, phone, address, ID field identification
Freshness Analysis
Collection date, staleness risk, time-to-live
Ownership Chain
Steward, custodian, GDPR data controller identification
Jurisdiction Flags
Cross-border transfer risk, residency requirements
Transformation Log
ETL steps, joins, aggregations, derived columns

Data Audit

12-point audit: hash-chained event log, Ed25519 certificate, regulatory mapping & anomaly timeline

Tier 4 · Audit — 12-point audit trail including immutable hash-chained event log, Ed25519 chain-of-custody certificate, user attribution, snapshot diff, export tracking, exception log, regulatory events and whistleblower flags.
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Audit Score
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Grade
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Exceptions
12
Audit Checks
Hash-Chained Events
Immutable log with each event hash-linked to previous
User Attribution
Actor, role, session ID and authorized action log
Certification History
Full cert chain with grades, scores and events
Snapshot Diff
Column-level V1 vs V2 comparison — detect silent edits
Access Anomalies
Unusual access patterns, off-hours reads, mass exports
Export Tracking
Every download/export with actor, timestamp, authorization
Exception Log
Critical, high, moderate exceptions with resolution paths
Regulatory Events
EU AI Act, FDA, NIST, ISO article-level compliance events
Whistleblower Flags
Ethics-sensitive columns flagged with recommended actions
Chain-of-Custody Cert
Ed25519-signed certificate with SHA-256 dataset hash

Compliance Intelligence

Article-level analysis · 9 frameworks · RAG-powered regulatory assistant

Regulatory Frameworks
Tier 4 · Comply — Article-level compliance mapping against 9 regulatory frameworks. Select which laws to test, then upload your dataset for automated gap analysis and remediation guidance.
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Compliance Score
9
Frameworks
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Gaps Found
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Articles Tested
Compliance Assistant
RAG · AI-powered · Live regulatory KB
RAG
Filter by law
⚖
Regulatory Intelligence Ready
Ask anything about compliance requirements, article obligations, or your dataset results.
Shift+Enter for new line · Results context auto-attached after analysis

Reality Grounding

5-layer plausibility engine: domain constraints · causal consistency · reference distributions · entity coherence · LLM sanity check

Tier 2 · Verify — 9-layer plausibility engine that checks whether your data makes physical, causal and statistical sense. Goes beyond schema validation to detect impossible values, broken correlations and domain violations.
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Layers Passed
9
Total Layers
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Violations
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Domain
Layer 1: Range Constraints
Domain-specific min/max limits (e.g. age 0–130, prob 0–1)
Layer 2: Causal Consistency
Child born before parent, end before start — physical laws
Layer 3: Reference Distributions
Compare to real-world population baselines
Layer 4: Entity Coherence
Cross-row consistency for same entity/ID
Layer 5: LLM Sanity Check
AI-powered plausibility scan of random samples
Layer 6: Correlation Structure
Expected correlations absent or impossible ones present
Layer 7: Statistical Moments
Mean/std/skew within domain-plausible ranges
Layer 8: Geospatial Validity
Lat/lon bounds, country-code consistency
Layer 9: Semantic Coherence
Text/categorical fields match expected vocabulary

Real-Time Telemetry

Continuous SPC monitoring · PSI drift detection · anomaly scoring — all passed datasets auto-monitored

User Management

Create and manage user accounts. Admins can access server-path analysis; users get upload access.

Roles & Permissions

Manage users, roles, and access levels across your governance workspace

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Total Users
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Admins
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Analysts
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Viewers
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Invited
Admin
✓ All modules
✓ User management
✓ Invite & impersonate
✓ Integration config
✓ Server path analysis
Analyst
✓ All analysis modules
✓ Upload & run checks
✓ View reports & lineage
✗ User management
✗ Integration config
Viewer
✓ View all reports
✓ Browse data library
✗ Upload or run checks
✗ Modify settings
✗ Manage users
Team Members
Name / Username
Role
Status
Last Login
Actions
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Incident Management

Track data integrity incidents from detection through resolution with SLA monitoring.

Coming Soon

Technical Reports

Deep-dive technical reports with per-column statistics and model diagnostics.

Coming Soon

Regulatory Reports

Audit-ready reports mapped to GDPR Article 22, EU AI Act Annex IV, ISO/IEC 25012.

Coming Soon

Batch Analysis

Upload multiple files and run each through any module simultaneously

⇧
Drop files here or click to browse
CSV, XLSX, JSON, Parquet · Multiple files supported

Data Lineage Map

Compliance mapping · data flow visualization · impact analysis

Node Types
⬡ Source
⚙ Transform
⊟ Dataset
↗ Output
✓ Compliance
Filter
Stats
Node Detail
Enterprise Integrations
Connect data warehouses, model registries, ticketing & notification platforms
0Connected
0Healthy
0Failed
0Alert Rules
Data Warehouses & AI Platforms
Snowflake
Snowflake
Cloud Data Warehouse
Not configured
Connect to Snowflake to scan tables, import datasets for quality checks, and auto-catalog schemas.
BigQuery
BigQuery
Google Cloud Analytics
Not configured
Query BigQuery datasets directly, run governance checks on live tables, and sync metadata to ResEthiq lineage.
Databricks
Databricks
Unified Analytics & MLflow
Not configured
Sync MLflow model registry to AI Governance, browse Delta tables, and trigger governance checks on Spark pipelines.
Integration Assistant
Guides you through setup

AI Governance

Model registry · EU AI Act classification · Bias certificates · Explainability reports

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Models
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High Risk
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Bias Certified
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Compliance Score
Model Registry
EU AI Act
Bias Certificate
Explainability
Audit Trail

Settings

Configure analysis parameters, modules, integrations and reporting

Analysis
Modules
Industry
Sampling
Report Branding
Alerts
API & Keys
Data Retention
Appearance
Integrity Thresholds
Quality Thresholds
Bias & Fairness
Provenance & Drift
Confidence Intervals

My Organization

Company profile, AI system claims, training data protocols & governance documents

Company Profile
AI System Claims
Data Protocols
Governance Documents
Claims Registry
Organization Details
Compliance Contact
Regulatory Memberships & Frameworks
NIST AI RMF
ISO 42001
EU AI Act
GDPR
HIPAA
FDA 21 CFR
SOX
Basel III
EEOC
FERPA

Scheduled Scans

Automate quality, drift, bias and integrity checks on your datasets

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Total
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Active
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Ran today
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Errors

Scan Results History

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ScanTypeScoreStatusTriggerWhen
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SQL Editor Enterprise Data Gateway

Connect to your data warehouse · Run queries · Profile tables · Governance gate

Schema Browser
Select a connection to browse tables

Add a connection and run a query to see results

Add Data Connection

DAIG Governance AI

Evidence retrieval · Risk assessment · Incident response · Remediation planning

Assessing: –
Quick Actions
Risk Assessment
Assess regulatory risk for a model or agent
Evidence Retrieval
Find compliance evidence for an audit
Gap Analysis
Identify missing controls for EU AI Act
Incident Response
Bias detected or model drift — what to do
Conformity Assessment
Draft EU AI Act Annex IV documentation
Remediation Plan
Get a step-by-step fix for governance gaps
DAIG uses your Knowledge Graph + regulatory database to provide context-aware governance guidance.

Hi, I'm DAIG

Your Governance AI Assistant. Ask me anything about regulatory risk, compliance evidence, or how to govern your AI systems.

Try: "What regulations apply to a credit scoring model deployed in the EU?"

Governance Knowledge Graph

Connecting regulations, models, agents, datasets, and controls — context-aware by geography & industry

Filter:
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Node Types
Regulation
Model
Dataset
Agent
Control
Team
Custom
0 nodes
0 edges

AI Registry

Unified inventory of all AI models, agents, and applications — with shadow AI discovery

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Models
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Agents
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Applications
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High Risk
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Coverage
Models
Agents
Applications
Shadow AI
Click "Scan for Shadow AI" to discover unregistered AI in connected integrations.

Register AI

New Scheduled Scan

Fire alert if score drops below this

Nice work! Moving on…

Upload Dataset

Large files are automatically sampled for fast analysis. Drift detection requires both files.

Large file detected — will be sampled to 50,000 rows for fast analysis while preserving statistical distribution.
Current Dataset *
Drop CSV here or click to browse
CSV · Parquet · JSON — any size
Reference Dataset (optional — auto-split if omitted)
Drop CSV here or click to browse
Optional — enables drift detection
Modules to Run
Analysis Progress
Use Dataset in Module
Select which analysis module to send this dataset to:
Account Settings
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ResEthiq Platform
Welcome to ResEthiq.
Your AI data governance platform is ready. Learn how to analyse datasets, verify integrity, detect bias, and map regulatory compliance — all in one place.
ResEthiq Data Assistant
AI-powered guidance · Always online