Using Content Intelligence to Determine Who is on Your “Naughty and Nice” List


Companies across the world are constantly monitoring their watchlists — but working with a list of people you already know are “bad actors” is just one part of the process. How can organizations get ahead of the game and effectively identify who should be added to their “naughty lists” with confidence before they create chaos? 

Santa doesn’t make his “naughty list” manually

To discover people or organizations of interest that should be monitored, analysts are manually combing through the masses of data to detect certain patterns. They are looking for information indicating who has been conducting themselves in questionable ways, who is sending out information they shouldn’t, and who has been accessing data they shouldn’t. A single piece of content may even get passed around to 12 or more subject matter experts and senior people to apply a variety of perspectives. With a growing number of documents involving critical data around certain individuals, this process is not the most efficient or scalable. 

We don’t have magic, but we have AI

Forward-thinking organizations are seeking out AI-powered solutions for content intelligence to increase the effectiveness of every analyst in their organization. The experienced analysts with the most institutional knowledge can understand and utilize data from a variety of sources and even across multiple languages, but even they can miss key bits of information that may indicate potential risks.

When every analyst has a different skill set, which must be applied over a wide variety of information, content intelligence solutions empower senior analysts and newbies alike to have confidence in their data analysis, no matter their level of experience or language ability.  

These AI-driven solutions comb through all your intelligence quickly, deliver insights like your best analysts, and are self-learning so they’re constantly improving. These systems help provide a more comprehensive data search and capture and consistently apply the institutional knowledge and subject matter expertise so your analysts can curate the data and connect the dots. 

Analysts no longer have to spend time sifting through massive collections — they have critical information ready at their fingertips and can uncover the known and unknown threats with confidence.  

Making your list and checking it twice

We hope everyone makes the “Nice List” but when determining who might make the “Naughty List,” accuracy, scalability, and efficiency are vital. A content intelligence solution’s ability to transform data into actionable knowledge has never been so useful and important as it is now.

Basis Technology’s Rosette is a self-learning entity knowledge base system that identifies how different entities are related to each other using named entity recognition to identify mentions of people, places, and organizations in documents. This takes away a large portion of the manual approach by scanning through masses of documents all at once, so analysts can easily find what they are looking for in one simple step. As a result, analysts understand exactly what’s happening or going to happen, while also being exposed to information that they should know and don’t know about.

If you want to leave routine data gathering to AI, then sign up for your free demo of Rosette today.