Data science and machine learning models can assess large groups of cyber threats to find the subtle traits they have in common to better protect organizations.

There are many contextual details that differentiate cyber threat information from threat intelligence. Only with the proper context can data be considered intelligence, rather than simply information.

When vendors and individuals attempt to keep threat intelligence private, they limit the ability of the entire group to identify and mitigate new threats as they are developed and launched against organizations.

Today’s network perimeter is increasingly not a single physical or virtual place, yet much of the industry debate is still focused on the perimeter.