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Maritime Sanctions Evasion Pattern Data
Vessel tracking with AIS gaps, flag-hopping, and deceptive shipping indicators
Publisher: Alerterra Intelligence | Version: 1.0 | Updated: March 2026
Overview
This dataset is part of the Alerterra Synthetic Intelligence Data Suite — 100 records across 39 fields, generated using domain-specific AI models trained on patterns from Alerterra's enterprise intelligence platform.
100% synthetic — zero PII, zero real entity data. Safe for AI/ML model training, system testing, compliance demonstrations, and analyst training.
Use Cases
- Train vessel risk scoring models for sanctions evasion detection
- Test AIS anomaly detection systems
- Validate maritime compliance screening platforms
- Build deceptive shipping practice identification models
- Support maritime insurance risk assessment
Dataset Structure
| Metric | Value |
|---|---|
| Records | 100 |
| Fields | 39 |
| Formats | CSV, JSON, Parquet |
| Update Frequency | Monthly |
Fields
| Field | Type | Description |
|---|---|---|
vessel_id |
object | Vessel Id |
vessel_name |
object | Vessel Name |
imo_number |
int64 | Imo Number |
mmsi |
int64 | Mmsi |
flag_state |
object | Flag State |
vessel_type |
object | Vessel Type |
dwt_tonnes |
int64 | Dwt Tonnes |
build_year |
int64 | Build Year |
owner_name |
object | Owner Name |
owner_country |
object | Owner Country |
operator_name |
object | Operator Name |
beneficial_owner |
object | Beneficial Owner |
beneficial_owner_country |
object | Beneficial Owner Country |
is_sanctioned |
bool | Is Sanctioned |
sanctions_list |
object | Sanctions List |
risk_score |
float64 | Risk Score |
evasion_indicators |
object | Evasion Indicators |
ais_gaps_count |
int64 | Ais Gaps Count |
ais_gap_total_hours |
float64 | Ais Gap Total Hours |
flag_changes_12m |
int64 | Flag Changes 12M |
name_changes_12m |
int64 | Name Changes 12M |
sts_transfers_count |
int64 | Sts Transfers Count |
sts_locations |
object | Sts Locations |
port_calls_sanctioned_countries |
object | Port Calls Sanctioned Countries |
last_port |
object | Last Port |
last_port_country |
object | Last Port Country |
destination_port |
object | Destination Port |
destination_country |
object | Destination Country |
cargo_type |
object | Cargo Type |
cargo_origin_country |
object | Cargo Origin Country |
Sample Data
This repository contains a free sample (100 records). The full dataset and monthly refresh subscriptions are available at alerterra.com.
Pricing
| Tier | Details |
|---|---|
| Sample | Free (100 records) |
| Standard | $5,000 (5K vessels, one-time) |
| Professional | $15,000/year (quarterly refresh) |
| Enterprise | $20,000-$100,000/year (custom, real-time API) |
Methodology
Generated using Claude AI with domain-specific context injection encoding Alerterra's intelligence platform expertise (Vigila, Tradana, Gradara, Condura, Scrutera, RegSeal). Every dataset undergoes automated statistical validation, correlation analysis, and domain-specific business rule checks.
Citation
@dataset{alerterra_maritime_sanctions_evasion_2026,
title = {Maritime Sanctions Evasion Pattern Data},
author = {Alerterra Intelligence},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/alerterra/maritime_sanctions_evasion}
}
Contact
- Website: alerterra.com
- Data inquiries: data@alerterra.com
- Enterprise: enterprise@alerterra.com
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