🧠 Day 40: The Struggle of Consistency & The Fear of a “Dumber” Future 🤖📉

It’s come to my attention, again, that I don’t always come across as consistent. My mind jumps from one idea to the next, I don’t always follow through on projects, and I let my thoughts run wild. Part of creating this blog was to confront this head-on.

I realize this isn’t a personal struggle, it’s a human struggle. In cybersecurity, tech, and AI, there’s always something new, and sometimes I wonder: Am I adapting fast enough?

🎭 The Weight of Conversations & Impostor Syndrome in Tech 🔄

Recently, I had a conversation with a few software engineers. I walked away feeling like the things I had to say were either unimpressive or uninformed. I don’t take those moments personally, I try to learn from them, but it does make me reflect on how I communicate.

🔹 Was I asking the right questions?
🔹 Did I unintentionally come across as trying to sound “in the know”?
🔹 Was I pushing too much speculative thought over technical understanding?

I’m not a software engineer, but I love hearing different perspectives. My goal isn’t to sound like an expert on topics that aren’t my field, I just want to understand impact, potential, and possibility. I get that for some, AI and automation might be a sensitive topic. And maybe I should have read the room better.

That conversation took an interesting turn toward the idea that AI will make us dumber. I understood the argument, but for some reason, it just doesn’t add up that way for me. I could be wrong, but I hope they are.

🚨 The Risks Within: Malicious Employees & AI Threats 🕵🏾‍♂️

As much as we discuss external cyber threats, insider threats remain one of the biggest risks to organizations. According to Cyber Defense Magazine, businesses need to monitor employee behaviors, not just for productivity but for potential malicious intent.

Similarly, AI and machine learning are becoming attack surfaces of their own. A report from The Hacker News reveals that malicious ML models were found on Hugging Face, one of the largest repositories for AI and machine learning models. Attackers are now poisoning AI models to spread malware, extract sensitive data, or manipulate outcomes.

This highlights the growing security risks in AI-powered ecosystems. We’re no longer just securing networks and endpoints, we’re securing the very intelligence that drives our systems.

🔑 The Evolution of Cryptology in IoT 🛜🔒

We often talk about how AI is changing cybersecurity, but cryptology and encryption in IoT are undergoing a shift as well. Cyber Defense Magazine dives into how binary cryptology is evolving to support secure IoT communications.

The security of IoT devices has always been a nightmare, many of these devices have weak encryption (if any) and are constantly targeted for botnets and DDoS attacks. As we gamify security, automate responses, and integrate AI into these processes, it’s important to remember: security fundamentals still matter.

🔮 Final Thoughts: Navigating Growth & The Unknown 🚀

🔹 I may struggle with consistency, but that doesn’t mean I’m not progressing. 🔹 Impostor syndrome in tech is real, but every conversation is a chance to learn. 🔹 AI security is evolving, and so is the way we need to defend against threats. 🔹 We don’t just secure devices anymore, we secure intelligence.

Every day, I try to build a better roadmap for myself. Maybe that roadmap isn’t perfect, but it’s mine. And maybe that’s all that matters.