Nathan E.

About Nathan E.

I understand AI, or today\'s iteration: LLMs, agents, and the tools built around them. I\'ve learned how to build meaningful tools and insights using them, and most importantly, how to secure them. Builder, adversary researcher, and I ship things that matter.Over a decade in the Microsoft ecosystem; Azure, Entra ID, M365. Admin, secure, break, repeat. AWS came naturally and I am equally fluent in both cloud worlds. Identity is where I have breadth; Entra ID, Okta, PingOne, etc; hardened, configured, and stress-tested from the inside out. I\'ve written technical blogs on these topics at Permiso.io.Python and TypeScript are how I typically build, with AI assistance to best manage time. Automating, exploring, turning threat research into detection. Cloud security, detection engineering, data loss prevention, governance, cybersecurity risk assessments. From systems to people, I evaluate threat exposure with clarity and precision.And I know to keep learning. If you\'re working on something that requires critical thinking, technical depth, and someone who isn\'t fooled by hype, let\'s talk.

Experience

1. Director of Adversary Detection

   Permiso Security

   Feb 2025 — Present

   Expanding detection coverage into AI-specific attack surfaces, leveraging AI to enhance internal detection processes such as log analysis, and building detection systems focused on AI- Lead the Adversary Detection function, including a small team, driving strategy and execution of Permiso\'s ITDR detection capabilities across many integrations.

Education

• Robert Morris University

  Bachelor of Science (B.S.), Computer Information Systems

  2011 — 2015

• Robert Morris University

  Master of Science (M.S.), Information Security and Assurance

  2011 — 2015