KalioTek Blog

Artificial intelligence systems require massive amounts of information to operate effectively. When employees begin utilizing these tools, the volume of data moving across a network increases rapidly. This surge creates operational challenges, security vulnerabilities, and system inaccuracies if it is not managed correctly from the start.

For decades, Google was synonymous with online search, so much so that it became the accepted verb for that very activity. Modern search engine optimization practices are—for the most part—intended to rank you higher on Google’s results page, simply because it holds such a high market share amongst search engines.

However, the advent of AI has changed things. Your results page is now populated by AI-produced overviews of your search results, blended with advertisements and links to other services Google owns. In short, Google is changing, potentially enough for you to consider an alternative search engine as your go-to resource.

Is AI good for productivity? Of course… but, like most things, there are two sides to consider. Since artificial intelligence is so good for productivity, many employees (perhaps even some of yours) are turning to public AI tools without authorization or oversight, exposing summarized meetings, written code, entire spreadsheets, and other proprietary and sensitive data to a public database.

In short, they’re using a specific form of shadow IT… shadow AI.

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.

We’ve seen a huge explosion in AI-generated content. From AI-generated artwork to convincing but fake videos of famous people, AI has quickly become an interesting enigma with a lot of apparent applications.

In today’s rapidly evolving tech landscape, artificial intelligence companies are at the forefront of innovation. They play a pivotal role in transforming industries. But with this growth comes the challenge of managing critical IT, security, and compliance functions effectively. As your AI company continues to expand, partnering with the right outsourcing provider becomes crucial to ensure seamless operations and regulatory compliance. What criteria should you consider when selecting an outsourcing partner for these critical functions within your organization?

Your Pain: As cloud accounts proliferate in growing companies, the tasks of managing these services get more complex and time-consuming just when you need your full attention on product development.

When it comes to selecting an IT service provider for your company, a key question to ask is, “Are their business incentives aligned with yours?” This blog highlights the importance of selecting a provider whose business model complements your company’s vision. We’ll examine three IT service provider types, each with a unique business approach, and how their alignment with your goals can boost the success of your IT infrastructure.

Artificial intelligence (AI) is becoming an integral tool for many businesses, offering capabilities that streamline operations and improve efficiency. However, with these benefits come significant risks, particularly for companies that rely on proprietary information. Shadow AI refers to the use of AI applications, often without proper oversight, which can lead to the unintentional exposure of sensitive company data and intellectual property.

Emerging companies today rapidly collect a jumbled basket of cloud applications and services. Employees pull out their credit cards and sign up for all kinds of subscription services in a decentralized and disorganized free for all.  These will soon be upgraded to AI agents performing all manner of functions to make employees more productive.