Edward Wu thinks so! Understandably so, as his startup, Dropzone.ai is making a big bet on generative AI to change the face (and pace) of security operations.
We'll talk about what has changed here, and I have so many questions:
- after many generations of AI/ML technology in security, is the current gen really that dramatically different?
- Dropzone is far from the only startup with the same idea here, how will they differentiate?
- Is the problem that we need more help than we can possibly hire, or are we fundamentally doing something wrong in security operations?
- Specifically, what is this tech doing to help?
Finally, we'll wrap by talking about where this tech goes next, and can we get there with current technology, or are we dependent on more breakthroughs from companies like OpenAI, Anthropic, and Meta?
Edward is an AI/ML tech leader and has built and commercialized cutting-edge AI products end-to-end from scratch. He is also an expert in applied AI/ML for cybersecurity and next-gen cyber defense, including behavioral attack detection, automated security operation, network/application monitoring, and cloud workload security. Edward holds over 30 patents in ML and cybersecurity and is a contributor to the MITRE ATT&CK framework. He previously worked on attack detection using wire data at ExtraHop Networks, and automated binary analysis and software defenses at University of Washington Seattle and UC Berkeley.
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