Investigation for cyber attacks, data breaches, and more becomes complex when data sources are not connected on a single platform.
FREMONT, CA: In any operation center, the data sources will be in silos, disparate and separate databases or intelligence tools. To obtain a meaningful insight, this data had to be combined and packaged manually by the analysts. However, the data existing today are massive, which makes the task harder. But the analysts are managing the data to maintain efficiency. In this process, they miss out on some valuable pieces of information that could be a vital part of national security objectives. The same problem arises with the private sector when it comes to investigations as they use investigative techniques in various aspects of a business.
The private sectors investigate multiple data sets, including internal and external feeds such as threat intelligence for cyber attacks, data breaches, fraud and financial crimes, physical security matters, and more. Organizations contain too many data feeds and struggle to integrate those feeds on a single platform. This can be quickly addressed by putting all the information into a spreadsheet or by finding an alternative way to connect and view the APIs. The data-agnostic system makes it easier to process data in real-time and provide context about specific threat identifiers.
Although external data sets can be easily connected via APIs or other ways, it is challenging to connect internal sources such as spreadsheets and databases that have different schemas and formats. Thus private organizations adopt link analysis to investigate threats across multiple data sources and feeds. Recently, technology has paved the way for organizations to connect all the intelligence sources together in the link analysis tools. The potential of this technology on the investigative and intelligence process is enormous as it changes the way analysts investigate threats. This technology includes a vast amount of data to be analyzed while creating the time they need to actually study the data in spite of merely collecting and cleaning it. Further, it provides options to share data with other departments or even external analysts.