Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Data science used to happen on clunky, beige towers hidden away in server rooms. Today, data teams are building massive machine learning models and processing giant pools of information right from their desks. That shift requires serious computing horsepower. When you are buying hardware that handles proprietary algorithms and sensitive customer databases, raw performance is only part of the equation.

Cybersecurity sounds exciting from the outside. Hackers, breaches, investigations, digital evidence, red teams, blue teams, threat intelligence. Some of that is real. Most of the work isn't. Security professionals spend their days reviewing access logs, patching systems, writing reports, testing backups, explaining risks to people who don't want to hear them, and figuring out why a process broke down before pointing fingers. It's technical, often repetitive, occasionally urgent, and genuinely satisfying when you're good at it.