We all agree that public AI tools are fantastic for general tasks such as brainstorming ideas and working with non-sensitive customer data. They help us draft quick emails, write marketing copy, and even summarize complex reports in seconds. However, despite the efficiency gains, these digital assistants pose serious risks to businesses handling customer Personally Identifiable Information (PII). Most public AI tools use the data you provide to train and improve their models.

Authored by Summit Systems in Calgary, Alberta Read in about 8–10 minutes When most Calgary businesses think about IT problems, they picture something obvious: a server goes down; employees can’t log in; email stops working; ransomware locks files; phones start ringing; But by the time those things happen, the real problem starts weeks or even months earlier. In our experience supporting Calgary businesses, the most expensive IT issues rarely come out of nowhere. They build s

The cloud makes it easy to create virtual machines, databases, and storage accounts with just a few clicks. The problem is, these resources are often left running long after they’re needed. This “cloud sprawl,” the unmanaged growth of cloud resources, can quietly drain your budget every month. According to Hashi Corp’s State of Cloud Strategy Survey 2024 , the top reasons for this waste are lack of skills, idle or underused resources, and overprovisioning, which together driv

Modern businesses depend on third-party apps for everything from customer service and analytics to cloud storage and security. But this convenience comes with risk, every integration introduces a potential vulnerability. In fact, 35.5% of all recorded breaches in 2024  were linked to third-party vulnerabilities. The good news? These risks can be managed. This article highlights the hidden dangers of third-party API integrations and provides a practical checklist to help you e

ChatGPT and other generative AI tools, such as DALL-E, offer significant benefits for businesses. However, without proper governance, these tools can quickly become a liability rather than an asset. Unfortunately, many companies adopt AI without clear policies or oversight. Only 5% of U.S. executives surveyed by KPMG  have a mature, responsible AI governance program. Another 49% plan to establish one in the future but have not yet done so. Based on these statistics, while man

Most organizations have realized that AI is not a sentient system looking to take over the world, but rather an invaluable tool. They have come to utilize it to improve their productivity and efficiency. AI solutions have been installed at an astounding rate. Some are used to automate repetitive tasks and to provide enriched data analysis on a previously unrealized level. While this can certainly boost productivity, it is also troubling from a data security, privacy, and cybe

Do you ever open a report, scroll through for a few seconds, and think, “Where do I even start?” If you run a small or midsize business, you’ve likely been there. The sales numbers are buried under marketing analytics, operational stats, and a dozen other data points you didn’t even ask for. It’s all “important” information, but somewhere between downloading the report and making a decision, your brain taps out. You’re not alone. One study found that the average person proces

Walk into almost any IT department right now, and you’ll hear the same conversation at least once a week: “Have you tried that new AI tool yet? I heard it’s a game-changer.” The truth is that the market is buzzing with promise and noise. A recent McKinsey survey  shows that 78% of companies now use AI in some form, and that number is climbing. Plenty of software promises to slash workloads, automate everything, and make teams ‘future-proof.’ Some deliver on that promise. Othe

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The pace of technological advancement is accelerating. This is not news to anyone wading through the ChatGPT craze. Artificial...