Here at AT&T Cybersecurity, we believe cyber protection should include multiple layers and cover as much ground as possible. Having full visibility into threats on the network and being able to automate actions against them not only reduces an organization’s risk but also frees up time for security teams to focus on other high-value security tasks.

Financial services have developed at a breakneck pace, resulting in fierce competition among financial technologies. These services in the digital age must be characterized by three words: rapid, efficient, and intuitive. It is no longer necessary to wait in queues to speak with a bank teller. Consumers today want to manage their accounts using their smartphones, and banks want to earn their loyalty. What is the common ground? Using modern technologies to find new methods of doing things.

With the rise in popularity of technologies such as HashiCorp Terraform, Docker, and Kubernetes, developers are writing and maintaining more and more configurations in addition to building the application itself. The growing use of infrastructure as code presents security complexity and the potential for risk that developers often struggle with as their workloads increase and more advanced skills are required.

September confirmed some things we already knew about the current state of cybercrime: While undersecured corporate targets remain tempting targets for hackers, the situation is increasingly worse for data-rich organizations such as governments, schools, and healthcare facilities. All of those sectors had cause for concern as the month drew to a close.

When we discuss cybersecurity and the threat of cyber attacks, many may conjure up the image of skillful hackers launching their attacks by way of undiscovered vulnerabilities or using cutting-edge technology. While this may be the case for some attacks, more often than not, vulnerabilities are revealed as a result of careless configuration and inattention to detail. Doors are left open and provide opportunities for attacks.

This is the age-old question faced by so many tech teams: do we build or buy a system we need? TL:DR, Buying can save your engineer time for building the core stack and for the fun experiments needed to determine when to shake up the core stack.