Written by: Waylon Krush
Artificial Intelligence (AI) is arguably the most transformative tool of our time, driving efficiency, saving money, and unlocking unparalleled potential for businesses. Yet, like any powerful innovation, it comes with its risks—and that’s why I’m writing this article. As a cybersecurity professional with a military background, I’m passionate about AI’s possibilities but remain grounded in a “trust but verify” approach.
Let’s dive into why we should be excited about AI, but also why we must tread carefully.
AI: A Force for Good and Evil
AI has the potential to revolutionize industries and change how we live and work. But, as with any powerful technology, it can also be misused. From my military days, I learned that we often don’t address issues until disaster strikes—what we call “right of boom.” The same mindset applied when I started my cybersecurity firm in 2004.
Back then, many companies didn’t think they needed cybersecurity. Some even told me outright that investing in protection wasn’t worth the cost. It wasn’t until high-profile hacks began making headlines that these same organizations called in a panic, trying to mitigate years of unnoticed breaches. Fast forward to today, and cybersecurity is a priority in every business conversation.
The lesson? Reacting late is expensive. And we’re at the brink of repeating this cycle—this time with AI.
The AI Trust Problem
Businesses are rushing to adopt AI for competitive advantage, but many are doing so without considering security, privacy, or ethics. Worse, some AI providers ask for blind trust while using our data to train their future models. History has shown that “trust us” is often followed by apologies after something goes wrong. As I’ve learned, trust must be earned.
Three Critical AI Risks to Address
AI adoption is inevitable, but organizations must protect themselves by proactively addressing these risks:
1. Your Data May Already Be in AI Models
AI companies often train their models on publicly available data…
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