  The cybersecurity technological landscape is a complex ecosystem in which
entities -- such as companies and technologies -- influence each other in a
non-trivial manner. Measuring the influence between entities is a tenet for
informed technological investments in critical infrastructure. To study the
mutual influence of companies and technologies from the cybersecurity field, we
consider a bi-partite graph that links both sets of entities. Each node in this
graph is weighted by applying a recursive algorithm based on the method of
reflection. This endeavor helps to measure the impact of an entity on the
cybersecurity market. Our results help researchers measure more precisely the
magnitude of influence of each entity, and allows decision-makers to devise
more informed investment strategies, according to their portfolio preferences.
Finally, a research agenda is suggested, with the aim of allowing tailor-made
investments by arbitrarily calibrating specific features of both types of
entities.
