THE CHALLENGE: Keeping Campuses and Students Safe

More than 108,000 reports of criminal offenses, hate crimes, violence against women and arrests were reported to the Department of Education’s Campus Safety and Security Department in 2017. A study by the Citizen’s Crime Commission found 30 incidents of shootings on college campuses for the 2015-2016 school year. And, suicide is the second leading cause of death for college age students, according to the Centers for Disease Control.

Keeping campuses and students safe is a monumental task for administration, faculty and security personnel. And, while the Internet, social media and online activities are often cited as a challenge in this endeavor, they also can be a critical tool in predicting and preventing risk, especially for college-age students who publicly share significant amounts of personal information online.

For instance, studies show that eight out of ten people considering suicide give some sign of their intentions. And, according to research published in the journals Crisis and The American Journal of Public Health, real-time monitoring of online behavior can be a viable tool for assessing suicide risk factors on a large scale. This research also concludes that social media provides a channel that may allow others to intervene following an expression of suicidal thoughts online.

The statistics are similar for school-based violence. The Secret Service and the Department of Education, found that in school-based violence, concerning behavior was exhibited prior to the attack 93% of the time. Even more alarming, the study found that in 80% of the incidents at least one other person had prior knowledge, and more than one person had prior knowledge almost 60% of the time.

Radiance (OS-INT)SM

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 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.

Radiance (NET-INT)SM

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 838,000 IP addresses engaged with threat-related risk topics.

Radiance (HUM-INT)SM

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.

THE SOLUTION: Radiance as a Tool for Risk Assessment, Early Identification and Prevention

 OS-INT, NET-INT and HUM-INT are a powerful tools that work in combination to help schools predict and prevent tragedy on campus.

OS-INT’s education bundles includes almost 10,000 terms related to campus safety. OS-INT performs more than 200,000 searches across the entire web, correlating names with these terms. A manual web search of this magnitude would take just over 1 1/2 years for one person to complete.

Radiance OS-INT pulls all applicable content into a comprehensive report. The results are prioritized, making it easy to further analyze the findings and determine potential risk. The system allows for continuous monitoring and evaluation, mapping previous results against results from more recent queries.

NET-INT’s massive system of data ingestion has the capability to catalog, index and redeploy Internet content related to risk dimensions. The system captures an IP addresses’ pattern of life data, prioritizing anomalous behavior. NET-INT also screens IP addresses associated with an entity or person of interest against all IP addresses displaying anomalous behavior collected over the system’s lifespan. NET-INT’s continuous monitoring of a POI’s Internet research behavior helps predict emergent behavior.

Radiance’s HUM-INT, or S4 app, can be configured as a campus-wide tool, allowing students to submit information related to potential suicidal or other behaviors exhibited by friends and classmates. A centralized management portal allows clients to access real-time threats to geo-fenced facility locations, allowing for timely intervention.

Learn how we can help protect your organization.

Learn how we can help protect your organization.

Try Radiance Today

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

Email us at support@luminaanalytics.com