The cybersecurity threat landscape is constantly changing with organizations of all sizes struggling to keep pace with increasingly complex and sophisticated cyber threats. Currently, there is a staggering $2 trillion market opportunity between cybersecurity technology and service providers, making it a prime area for managed service providers (MSPs) to explore and seize.

Here are the top 10 applications of deep learning in cybersecurity for the year 2023 In today’s digital landscape, cybersecurity is of paramount importance. With the constant evolution of cyber threats, more than traditional security measures are required to protect sensitive information and systems. This is where deep learning, a subset of artificial intelligence, comes

Advanced planning, training and simulation, and understanding organizational risk will go a long way to avoid rookie mistakes when a cybersecurity team meets its first critical incident. Responding to a security crisis can be a challenge for most cybersecurity teams. It can be doubly so for a team with relatively

The advent of the digital era has seen a progressive escalation of cyber threats targeting the global supply chain — a matrix-like network composed of manufacturers, suppliers, distributors and retailers. A single vulnerability within this intricate network can provide a gateway for adversaries to infiltrate and compromise the entire supply chain. Of

Cybersecurity risks are so pervasive that every organization has a few skeletons in the closet. There is little remedy for the most severe examples—such as sweeping a data breach under the rug—since these stem from a culture of avoidance at the highest level. There are, however, solutions for many other