THE CHALLENGE: Reducing Turnover for the Staffing Industry

U.S. employers paid more than $600 billion in turnover costs in 2018, with one in four employees leaving their jobs last year; both numbers are indicative of increasing turnover in the workforce. The staffing industry is particularly impacted by this phenomenon, with a 386% turnover rate in 2017. America’s staffing companies hire 17 million temporary and contract employees every year, but the average tenure is less than 12 weeks.

As employers look at ways to reduce turnover by hiring the right people in the first place, social media has become an increasingly important tool to help screen potential candidates. More than 70% of employers now research social media sites during the screening process, and 57% have found content that has caused them not to hire a candidate. While these manual social media screens may provide meaningful insights, they have three barriers:

1. The human resources and time required to conduct these searches;

2. The incompleteness of a social media search against the sheer volume of publicly available information on the Internet;

3. Privacy concerns.

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: Revolutionizing the Screening Process through Deep Web Listening and AI

More than 2.5 quintillion bytes of data are added to the web every day. Radiance overcomes the challenge of massive unstructured data ingestion, evaluation and prioritization through machine learning and artificial intelligence.

OS-INT’s 25 BAMs include criminal conduct, alcohol consumption, drug involvement and misuse, workplace violence, sexual behavior, Islamic and right wing extremism, and financial crimes – all relevant to hiring risks. OS-INT includes more than 8,250 different terms related to these behavioral affinities. The platform conducts nearly 165,000 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.

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. A manual web search of this magnitude would take 1 year and 4 months for one person to complete.

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.

HUM-INT’s S4 app can be configured as a workplace tool, allowing employees to submit information related to potential risk behaviors exhibited by co-workers. A centralized management portal allows clients to access real-time threats to geo-fenced facility locations.

While a background check is still a necessary part of the hiring process, Radiance’s capabilities augment historical data found in background checks with real-time data available on the web that a traditional check would not uncover.

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