🧠 Emerging Technology

🎯 How Is It Used?

• Threat Detection: AI watches network traffic and user behavior around the clock, picking up on strange patterns that could mean someone's trying to break in — including zero-day exploits that rule-based tools wouldn't catch.
• Automated Incident Response: When something bad does happen, AI can jump in fast — isolating a compromised device or blocking a suspicious IP in seconds, way quicker than waiting for a human to respond.
• Phishing Prevention: Machine learning models look at emails, links, and attachments to spot phishing attempts, even the really convincing ones that are now being written by AI themselves.
• Vulnerability Management: Instead of manually scanning for every possible weakness, AI tools can comb through systems and code, then rank which vulnerabilities need to be patched first based on how dangerous they actually are.
• Predictive Analytics: By studying past attacks and current trends, AI can give security teams a heads-up about where the next threat might come from, so they can prepare instead of just reacting.

💡 How Will I Use It?

I see myself using AI tools pretty much daily once I'm in the field. If I end up in a SOC analyst role, I'd rely on AI-powered SIEM platforms to help me cut through the noise — those systems can generate thousands of alerts a day, and without AI filtering out the false positives, you'd drown in data. As a pen tester, AI-assisted vulnerability scanners would let me run deeper, more efficient assessments than I could do manually. Down the road, I also want to learn how to train and fine-tune machine learning models for threat detection. That's a skill set that not a lot of people have yet, and I think it'll give me a real edge when I'm job hunting.

🎓 How Does It Fit My Education and Career?

This technology ties directly into everything I'm studying and where I want to end up. At HCC, my Information Assurance and Security Management courses give me the foundation to understand what these AI tools are actually protecting against — you have to know the threats before you can build smart defenses. When I transfer, USF's Bellini College literally has AI baked into the cybersecurity curriculum, so I'll get hands-on experience with these tools at the academic level. And in the workforce, whether I'm working as an analyst, a pen tester, or in a SOC, AI is going to be part of the job. There's also a global shortage of about 4.8 million cybersecurity workers right now, and people who understand both security and AI are going to be especially hard to find — which is exactly where I want to position myself.

🧠 Why Is It of Interest to Me?

What hooks me about AI in cybersecurity is the arms race element. Hackers are already using AI to write better phishing emails and dodge detection systems, so defenders have no choice but to fight fire with fire. There's something really satisfying about the idea of building smarter defenses that can learn and adapt on their own. I also think it's just fascinating on a technical level — the fact that you can train a system to spot an attack it's never seen before, based purely on recognizing that something feels “off” in the data. That blows my mind. At the end of the day, I want to protect people and their information, and AI gives me a much bigger toolkit to do that with. It's not some passing trend either — this is where the whole industry is moving, and I'd rather be ahead of the curve than playing catch-up.