Articles

Cybersecurity threats are abundant and ever-changing. That’s why threat modeling, diagramming various threats and impacts, is a critical and necessary practice to prepare for whatever threats come your way.

Cybersecurity systems involve many technologies and can be built with various options, but large companies should implement a security information and event management (SIEM) solution to increase overall system security. 

Artificial intelligence and machine learning are trending terms in the tech sphere that are often – and incorrectly – used interchangeably.

Most tasks we do at work are either process or project-based. Processes are made of repetitive tasks that we do repeatedly, with little to no variation. Project work can vary significantly from one project to another and can change based on internal or customer requirements. 

We’ve all heard “correlation doesn’t imply causation,” but what does it really mean?

What is PCI compliance? Payment card industry (PCI) compliance, originally known as payment card industry data security standard (PCI DSS) compliance, is a self-regulatory industry code of conduct administered by the Payment Card Industry Security Standards Council.

Data analysis is broad, exploratory, and downright complex.

As companies become more comfortable using chatbots on their websites, even those without in-house developers might want to adopt the trend.

What is data modeling? Data modeling is the process of visualizing complex software systems using simple diagrams, including text and symbols, to depict how data will flow within enterprise information systems. It helps illustrate the types of data stored and used within the system, how the data can be organized or grouped, and the relationships among different data types.

No matter how many presentations you’ve led, it’s normal to have butterflies.