Articles

The golden age of DevOps software best practices has settled upon us like a cozy blanket of consistency. Within this utopia of perfect change management and well-oiled industry standards, a natural progression toward airtight cybersecurity called DevSecOps emerged. 

Miscommunication, mutual frustrations, under-deliverability.

Getting a customer to buy your solution is only half the battle. 

A picture is worth more than a thousand words — sometimes, it’s worth a billion dollar company.

The explosive growth of data and the demand for public cloud offerings have contributed to several new large data centers being planned or constructed across the globe. The onset of the COVID-19 pandemic has coerced numerous companies to look for options to ensure business continuity, leading to data centers growing faster than ever. 

Fileless malware attacks are on the rise as more hackers use it to disguise their nefarious activities. These threats leverage a computer’s existing, whitelisted applications and computing power against itself. This is what security professionals refer to as “live off the land” threats. 

I’ll let you in on a (poorly kept) secret: The use of advanced analytics and other AI-powered capabilities that help users manage and interrogate data isn't new. The practice has been around far longer than the current bubble of hype surrounding AI has been inflating.

Governments tout the use of fintech sandboxes as an excellent method of fostering innovative financial services technologies. Inclusion in these sandboxes gives fintechs a PR gold star along with a governmental stamp of approval. 

Data is a critical asset to organizations today and the growing volume of diverse data generation is making data management and governance increasingly important and challenging. Managing the ever-increasing complexity in data sets has given rise to the concept of big data, but what exactly is big data, and why is it important for businesses?

The class erupted in cheers and groans.