Intelligence on potential threats and terrorist attacks can often be found online hours, or days, before an actual event, particularly in obscure chat rooms or areas of the "dark web". However, mining information from these sources is resource intensive, and challenging given the number of languages that can be involved when dealing with global sites. One company, Babel Street, claims to address this problem, with an advanced linguistic parsing engine processing feeds from hundreds of information sources.
Babel Street's founder and CEO met with IPVM at the NCS4 conference, where their product won a "Golden Eagle" award, to provide details on his company, and their approach to processing big data feeds to generate alerts of potential security threats. In this report we analyze Babel Street's platform and applications in the security industry.