THE CHALLENGE: Keeping Airlines and Airports Safe and Secure

While terrorist groups, criminals and hostile nation states have long been a threat to the aviation industry, the 2018 National Strategy for Aviation Security (NSAS) broadened this risk profile to include insiders, foreign intelligence activities, and the spread of infectious disease via air travel. With more than 4.5 billion passengers and 60 million tons of cargo flying last year, safety and security challenges are greater than ever.

NSAS highlights the importance of strengthening aviation domain awareness through integration of open-source data into existing air surveillance and law enforcement intelligence, collection and analysis of advanced and anticipatory information, and layered and risk-based security measures. These recommendations come in response to recent terrorist attacks on airlines and airports perpetrated by radicalized insiders and homegrown violent extremists.

Artificial intelligence will play an important role in the future of aviation
security. Research shows that 66% of airlines and 79% of airports plan to
implement these capabilities across a wide variety of use cases by 2021. In fact, AI in aviation was valued at $152 million in 2018 and expected to increase to $2.2 billion by 2025.

airport challenge


is a deep-web listening tool that uses machine learning and artificial intelligence to assess and prioritize risk.

Radiance scours publicly available data across the entire Internet, correlating names entered into the system with content related to 25 different risk factors, known as Behavioral Affinity Models  (BAMs), and cross-referenced with more than 1 million queries into Lumina’s proprietary databases of risk.

Searches provide near-instant results, delivering meaningful, actionable intelligence to identify and prevent risk.


The S4 app is a crowd-sourced, mobile application that allows users to confidentially report concerns in real time. 

THE SOLUTION: Radiance Transforms Security Screening with Early Detection, 360-degree Behavior Analysis

Radiance moves security screening from the current single point in time
analysis to a 360-degree view of a person’s behavior over a broader time range. The platform integrates and analyzes open-source data gathered from across the web, and can correlate it against historical behaviors such as passenger bookings and travel history or HR-related data sets for employees.

Radiance includes more than 6,500 different terms related to aviation security. The platform conducts nearly 135,000 searches across all publicly-available data on the web, correlating names with these terms and cross-referencing over 1 million queries into Lumina’s proprietary databases of risk. Unlike social media monitoring, Radiance is not reliant on a single platform or social media API, allowing for the continuous ingestion of all open source data. Radiance pulls all applicable content into a comprehensive report. The results are prioritized, making it easy to further analyze the findings and determine potential risk. A manual web search of this magnitude would take 1 year and 2 months for one person to complete.

S4 app can be configured as a workplace tool, allowing employees to report suspicious behavior in real time. A centralized management portal allows clients to access real-time threats to geo-fenced facility locations.

airport the solution