Some thoughts about building and learning in our our AI era:
AI has made building things ridiculously easy.
You can build a website in minutes, connect a few APIs, add an AI layer, and have a product for sale before the end of the day.
But building the thing and understanding the problem are still very different skills.
Here are some good infosec examples this applies to:
1. You can build an alerting product. Do you understand alert fatigue well enough to know which alerts deserve attention and what context an analyst actually needs?
2. You can build a threat intel platform collecting millions of IOCs. Do you understand what makes intelligence actionable for a SOC, threat hunter, or IR team?
3. You can build an “AI SOC analyst” (I hate this 😅) that summarizes logs and take action. Do you understand how investigations actually develop, what evidence matters, what analysts ask next, and where telemetry can mislead you?
4. You can build an EDR dashboard around process, file, and network events. Do you understand endpoint telemetry well enough to know which events matter and how they fit together during an intrusion?
5. You can build a cybersecurity training platform and generate labs, questions, and explanations with AI. Do you understand what people actually need to learn to do the job and how to create realistic problems that develop those skills?
AI made building easier. It did not make understanding easier.
The barrier to building a product is disappearing. The barrier to building the right product is not!
Keep learning the craft, will help you build more effectively after you understand the problem.