Why Dark Watch™ Data
How Is Dark Watch™ Data Collected
Zero Trafficking developed a four-step intelligence cycle to discover, explore, and monitor active human trafficking networks through their necessary business processes. Our team of full-time analysts apply this methodology on a daily basis to find previously undiscovered human trafficking networks and add their findings to our threat database. Every row of Dark Watch data passes analytic review before it heads to our customers’ data warehouses.
Where web scrapes are likely to pick up the activity of independent and trafficked sex workers alike, Zero Trafficking’s intelligence cycle helps us sort data into categories: independent, scam, organized prostitution, and human trafficking. Our hands-on approach to data collection and evaluation gives us high confidence in the networks we discover.
How Is Dark Watch™ Data Used
Dark Watch data is designed with two goals in mind: to disrupt human trafficking rings and to stop human traffickers from abusing the financial system. We have clients in the public and private sector, ranging from financial and corporate threat investigation units to human trafficking task forces and public investigations teams.
Whether your team wants to do more from a humanitarian perspective, you’ve been tasked to investigate human trafficking, or you simply have an interest in preventing criminal abuse of your company, Dark Watch data can give you unique insight into otherwise undiscovered risk. Our records consist of names, phone numbers, email addresses, physical addresses, and corporations, which can be ingested into your native data warehouses for further analysis. By fusing Dark Watch data with their own holdings, our corporate customers are able to see where known or suspected traffickers are using their services. They can then evaluate those accounts to ensure their activity does not implicate the company in any trafficking activity. Meanwhile, public service teams can use our data to help prioritize human trafficking investigations in their jurisdiction based on those most likely to significantly disrupt the market.