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.
Open Source Intelligence (OS-INT)
is a deep-web listening tool that uses machine learning and artificial intelligence to assess and prioritize risk.
OS-INT scours publicly available data across the entire Internet, correlating names entered into the system with content related to 20 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.
Internet Intelligence’s (NET-INT)
proprietary algorithms continuously identify, monitor, capture, and prioritize IP addresses exhibiting anomalous behavior across multiple risk dimensions.
The system also searches known IP addresses, producing all URLs accessed by the address. Results are nearly instantaneous, and accessed with just three clicks on the computer’s mouse.
The platform collects and stores more than 1 million interactions every day and since its inception has recorded more than 623,000 IP addresses engaged with threat-related risk topics.
Human Intelligence’s (HUM-INT) is powered by the S4 app, a crowd-sourced, mobile application that allows users to confidentially report concerns in real time. Almost 10% of the tips that have come into Lumina’s S4 platform have been related to suicide risk.
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.
OS-INT 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, OS-INT is not reliant on a single platform or social media API, allowing for the continuous ingestion of all open source data. OS-INT completes searches in an average of 4-5 minutes, pulling 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.
NET-INT monitors IP address behavior across 43 pre-categorized behavioral
dimensions, including attack planning, cyber tactics, radicalization, and insider
threat behavior. NET-INT also screens IP address associated with an entity or
person of interest against all IP addresses displaying anomalous behavior
collected over the lifespan of the system. NET-INT identifies geographic areas
where anomalous online behavior is originating. For IP addresses that can
be linked to an individual or an organization, NET-INT can provide real-time insight on what the individual or institution is researching and what data streams are informing their actions.
Radiance’s HUM-INT, or 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.
We want to partner with you.
Radiance Can Help Protect Your Campus. Sponsorships are Available.
Lumina was founded on the idea that technology is a force for good. We optimized our artificial intelligence capabilities to help keep people and places safe and secure. Protecting what matters most is more than what we do. It’s who we are.
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1440 G Street NW, Washington, DC 20005
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