Summary
Alex Gatz is a Staff Security Architect with eight years of cross-domain experience building offensive security architectures for agentic AI systems and cloud-native infrastructure. A founding team member at Ziosec, he researches emergent AI attack surfaces and automates adversarial scenarios to validate and harden agent safety, pairing deep offensive expertise with systems-level defenses. Proficient in Rust, Go, C, and Python, he designs scalable tooling (including eBPF-based detection work that produced patent-pending innovations) and operationalizes them across Kubernetes and major cloud platforms. His background spans hands-on SOC leadership, threat hunting, and solutions architecture—skills he used to both stop large-scale credential stuffing/DDOS campaigns and to streamline customer deployments. Unusually, Alex transitioned from clinical nursing into security and data work, bringing rigorous incident-driven decision-making and empathy for operational teams to high-stakes cyber research. Based in Michigan, he blends research, engineering, and product instincts to make adversarial testing repeatable, measurable, and production-ready.
8 years of coding experience
4 years of employment as a software developer
Associate of Science Nursing, Associate of Science Nursing at Mid Michigan Community College