Running, OSINT, and AI: Exploring Cybersecurity and Personal Growth

Pushing limits is key in both cybersecurity and fitness. Today, I trained on the Star Trac treadmill at EoS Fitness, completing 2.03 miles in 20 minutes and 42 seconds at an average speed of 5.88 mph, followed by a 10 to 20-minute walk before another 0.81-mile sprint in 8 minutes and 21 seconds at 5.82 mph. It wasn’t easy—at times, I felt like I might slip, collapse, or give up, but I kept pushing. My goal is to hit 3.10 miles in 30 minutes, and I’m getting closer. Just like in cybersecurity, resilience and persistence define progress. Whether it’s defending networks against evolving threats or improving endurance through training, growth comes from consistency, learning, and adaptation.

Beyond fitness, I recently conducted an AI-powered OSINT experiment using PimEyes, a facial recognition tool. I was surprised to find old photos of myself across multiple platforms, proving how easily digital footprints can be traced.

This aligns with my work in cybersecurity and OSINT—understanding how data is exposed and how privacy can be managed. I also used ChatGPT to research my own history, uncovering details about my cybersecurity background, programming projects, and past experience running Quendor BBS. This highlights an important cybersecurity lesson: AI and OSINT are powerful tools, and privacy awareness is crucial in today’s digital world. Tomorrow, I plan to research SEO strategies to expand my cybersecurity blog’s reach and apply for C# programming positions, leveraging my experience working on a kiosk program at Rosa Parks Elementary. As I strengthen both my physical endurance and cybersecurity expertise, I continue proving that success is built through effort, strategy, and a passion for improvement.