Velocity Technology Partners Blog

Is Microsoft, the company that effectively kicked off the generative AI arms race with its multi-billion-dollar partnership with OpenAI, losing its grip on its own creation?

For decades, the cybersecurity industry has operated on a comfortable, if flawed, assumption: finding a Zero-Day vulnerability (a bug unknown to the developers) was a Herculean task. It required elite human developers and ethical hackers, months of manual code review, and high-cost developer tools. This friction gave defenders a grace period—a window of time where obscurity acted as a shield.

That era officially ended on April 6, 2026.

As we move through 2026, smartphone app production has started to feature artificial intelligence. For IT leaders and service providers, these aren't just flashy consumer upgrades, they represent a fundamental change in how businesses interact with data, security, and connectivity. Here is a look at the most modern innovations currently hitting the market. Let’s take a look at them today.

On the surface, it sounds like a great get-out-of-jail-free card: “Oh, I’m so sorry, the AI said this, and I just went with what it said.” Not so fast!

While it would be nice to have a default scapegoat like that, it didn’t work when you blamed Rover for eating your homework, and it won’t work now. Let’s discuss why AI makes mistakes, how these mistakes can trip you up, and how to avoid these pitfalls.

It’s undeniable that artificial intelligence is a big part of doing business in 2026. Given this, it is not surprising that many products are being developed to push the technology into areas of business it hasn’t touched. Today, we are going to tell you about the difference between AI models and why one man’s great idea could be the thing that set AI back.

In its current state, artificial intelligence takes whatever you tell it very literally. As such, it is very easy to misdirect it into digital rabbit holes… which is the last thing you want, when time is very much money to your business. This is precisely why it is so crucial that we become adept at properly prompting the AI models we use. Too many hallucinations (responses that share inaccurate or unreliable information) simply waste time and money, but the better the prompt, the less prone the AI will be to hallucinate.

Let’s go over some of the best practices to keep in mind as you draft your prompts.

Have you ever stopped to ask yourself if the person you’re talking to on the phone is an AI system or an actual, honest-to-goodness human? It’s expected that in 2026, you’ll be asking this question a lot more often—especially with the rise of agentic AI. This development takes the vulnerability that already exists in your human infrastructure and attempts to make it impossible to stop. Today, we’ll explore agentic AI, what it looks like, and what you can do to put a stop to it in the years to come.