Passenger Assessment System - Global Vigilance

Data Fusion
Automatically fuses pre-arrival, arrival and post-arrival passenger; and pre-departure and departure passenger and flight data to present a single, holistic profile.
Configurable Risk Framework
Customize the default risk assessment framework by creating or updating rules and adjust scoring thresholds to address your unique passenger requirements.
Data Analysis
Analyze passenger and flight data to identify hidden and anomalous relationships based on current and historic information.
Passenger Profiling
Build passenger profiles to identify illegal travelers, criminals and terrorists for triage.

Automated Reports & Emails
Set alerts to receive notifications when high risk passengers are arriving or departing.
Watchlist Management
Create and update watchlists to identify high risk passengers or facilitate low risk passengers.
Selective Information Sharing
Share local knowledge and information across agencies, organizations and borders in real-time.
Monitor Compliance
Address compliance requirements with local, economic and international regulations.

Identify high risk passengers faster and more accurately to strengthen border control, detect criminal activity and prevent terrorist threats.

Assessing passenger data for high risk passengers with the Global Vigilance PAS provides you with continuous monitoring and evaluation of all passengers – inbound or outbound. It integrates and then fuses passenger data, including PNR and API, to present a single, holistic passenger profile that is automatically analyzed for high risk individuals, relationships, characteristics and behaviors. This facilitates the triage of passengers by Immigration, Border Security, Customs and Police authorities.

Global Vigilance’s PAS screens passengers using a powerful risk analysis engine to provide you with greater control and more advanced intelligence to ensure the right people have the right information at the right time.

DRIVE DECISION MAKING ON INTELLIGENCE

Learn how to uncover a passenger’s true identity by analyzing disparate data sources against a customizable risk assessment framework to make real-time decisions.

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