There's a lot of cyber babble out there that creates AI confusion, drives poor cybersecurity decision-making and kills key safety initiatives. Part of the issue is that we assume we all speak the same language and thus are in alignment. On the other side of the coin, we sometimes feel foolish because we don\u2019t understand the language being spoken and assume it\u2019s our fault (see video below). (Test your assumptions. Click on the video above) The reality is that the language of AI and cybersecurity is both in its infancy and ever changing. For example, when people use the term \u201ccybersecurity,\u201d there is an assumption that we\u2019re all talking about the same thing. However, this is not true. Case in point, even the experts can\u2019t agree if cybersecurity is spelled as one word or two.Or consider this: A chief marketing officer thinks of AI as chatbots to promote a brand, a business manager considers AI as a system for cutting overhead, a CSO thinks of AI as a defensive tool against malicious attacks, and the public sees it as Google Duplex.Nevertheless, infosecurity-speak that was once confined within the tech world is making its way into everyone\u2019s world because in the digital age, security is everyone\u2019s concern. Business executives have to make budgeting decisions affecting cybersecurity projects. Boards of directors are now accountable for privacy guidelines. Consumers need to create strategies for protecting their IoT from hacking.This means that the CSO\u2019s role is expanding to include helping people throughout the organization speak the same language. When done successfully, this will drive alignment in thinking with management while minimizing dangerous assumptions that weaken security efforts. Here are three things you can do to enhance this type of alignment:1. Try to see the situation through the other person\u2019s eyesWe assume the world thinks just like us. Everyone thinks this way. This means that the more you can see the world through another person\u2019s eyes, the better you can understand where that person is coming from. For example, one cybersecurity instructor tests future analysts on how well they cheat. The theory is that the best way to defeat the enemy is to think like them.When you deal with management, understanding his or her thinking helps you speak in in their terms and increase the chances of getting a sign off for your budgets. This can be a frustrating process because you\u2019d rather have others see the world through your lens. But the odds of this happening outside your immediate team are slim.2. Think conceptual but talk concreteAs a CSO you get the big picture, but most non-techies don\u2019t (and even some techies don\u2019t). The \u201cno-brainer\u201d terms you use more often than not need to be spelled out in simpler terms. People don\u2019t like to admit they don\u2019t understand as the video above demonstrates, so don\u2019t assume a shake of the head means they\u2019re getting what you are saying.3. Verify understandingPart of your job is to verify key data, such as the stats on website breaches. Communication among people is a form of data that often goes unverified or tested. Instead of assuming that everyone understands what is being said, verify it. Ask them to share their thoughts on what you just said. Or, better yet, ask them to repeat what you just said but in their own words. Warning: People will get irritated having to clarify their thoughts, but they will eventually get used to it if it becomes your practice. The price you pay for a little irritation is a lot less than moving forward without verifying assumptions.It\u2019s safe to say that when speaking in binary code, the chances of misunderstanding a zero from a one is nil. But once you step outside these digits, language gets more confusing. In today\u2019s digital age, assuming everyone speaks the same language will leave everyone frustrated and babbling, including you.