Network Integration Specialists, Inc. Blog

With the rise of generative AI infiltrating pretty much every sector of society, it’s no wonder that businesses are finding creative new ways to use it for their gain. However, you need to be especially careful when using generative AI in the workplace. Today, we want to cover three common no-no’s that your business should keep in mind as it navigates the wild landscape that is AI.

We all know companies collect a lot of data. After all, your business is no exception to this rule, and you likely collect significant consumer data to facilitate operations. But if you get the itch to protect your personal privacy (and you should), there are ways to limit how much advertisers, criminals, and other companies can gain access to. Here are just a couple of ways.

You don’t want to get spammed; nobody does. Unfortunately, it happens to EVERYONE, and it’s just getting worse. All this unwelcome correspondence happens over the phone, through email, and especially on social media. In today’s blog, we’ll talk a little bit about how social media puts users at risk and what you can do to keep that risk from becoming a problem for you. 

When hackers steal data, they don't just sit on it. Sometimes they delete it, but most of the time, they sell it or use it for illegal activities. A lot of this stolen data ends up on the Dark Web, a hidden part of the Internet where people do shady things. That's why it's so important to keep an eye on the Dark Web to protect your business.

Would you be concerned if someone, with only an image, could infer things about you with better-than-expected accuracy? I don’t mean snippets, either—we’re talking about entire paragraphs of context.

Probably, right?

How concerned would you be if I told you that’s precisely what Google Photos does?

As technology continues to gain prominence in healthcare, it plays an increasingly vital role. Advancements in technology have allowed the healthcare industry to stabilize costs, improve access, and personalize care delivery—objectives that were challenging in the past. These benefits come with a potential downside: data privacy issues, which are becoming more concerning as technology advances.