Data Loss & Risk Assessment: Creating A Data Backup & Recovery Plan

October 30th, 2023

Data loss is an omnipresent risk for businesses of all sizes. When you lose access to vital data—be it your customer’s sensitive data, information about your vendors, pricing, or something else—you might not be able to operate your business.

Protecting your data means protecting your business—but when data loss comes in so many different forms, it can be hard to know which protections to put into place.

Data Loss Disasters Come In Many Forms

October 20th, 2023

Data loss is a multifaceted problem facing all modern businesses. A proper business continuity and disaster recovery (BCDR) plan can help insulate you from data loss. Let’s take a look at how data loss can occur and how you can protect yourself.
How Data Loss Can Occur
Data loss can occur in a number of different ways, some more common than others.

How To Optimize Your IT Infrastructure For Remote Work

October 3rd, 2023

Remote work and hybrid work are here to stay. This new paradigm has plenty of advantages—your remote workforce can be hired from anywhere, giving you better prospects, and your business operations can continue no matter where your team members need to be.

Don’t Let These Outsourced IT Myths Limit Your Success

September 13th, 2023

Every business needs IT support. From point-of-sales systems at local cafés to managing remote teams at a new startup, properly managed IT is just as important for small and medium-sized businesses as it is for large multinational conglomerates.

Companies are often tempted to have IT support in-house; this is, in part, because there are a lot of myths and misconceptions surrounding outsourced IT. We’re here to debunk those myths; read on to learn how outsourced IT can help you grow your business and save money.

How To Stay Ahead Of AI-Powered Cybersecurity Risks

September 13th, 2023

Artificial intelligence (AI) has been around for some time. From chess computers to expert machines, artificial intelligence has been used by hobbyists, professionals, and more.
 
For most of their existence, these AI programs were hyper-specialized—they were really only good at doing one thing.