In this high‑stakes virtual session for ISACA Central Ohio, Hunter Storm draws on real‑world whistleblowing experience, hybrid‑threat analysis, and cross‑domain governance work to reveal what truly happens inside institutions when truth collides with power. Attendees learn how insider‑threat signals emerge, why governance failures escalate, and how cyber‑physical‑psychological vectors shape decision‑making under pressure. Storm’s mission‑driven approach—focused on eliminating retaliation pathways and building systems that surface issues early—offers practitioners actionable strategies for strengthening institutional integrity and resilience. This presentation delivers sharp, memorable insights designed to help organizations operate more ethically, transparently, and effectively.
Event: Live Panel | Live for the Synthetic Swarm: The Science of Drones — Phoenix Fan Fusion
A grounded look at how real‑world drone systems behave — from battlefield deployment to cinematic use — and what emerging swarm technologies may mean for the future. Hunter Storm joins the panel to bring lived insight into biomimetic systems and autonomous behavior.
Recipe for Disaster | A Structured and Humorous Breakdown of Avoidable Chaos
A tongue‑in‑cheek breakdown of how everyday misalignments, unclear requirements, and one overlooked dependency can quietly snowball into a perfectly avoidable catastrophe. Framed as a conceptual “recipe,” this piece turns organizational failure modes into ingredients and steps, offering a dry, structured look at how disasters are engineered long before anyone notices something’s wrong. It’s not food — but it’s absolutely something you’ve tasted before.
Artificial Intelligence, My Favorite Evil Machine
A sharp, memorable explainer that uses the dry humor of “my favorite evil machine” to cut through AI hype and fear. This piece reframes AI not as an autonomous threat, but as a powerful tool that amplifies human choices, incentives, and governance. Through humor, clarity, and structural precision, it teaches the core truth: AI has no intent — humans do — and accountability always lives with the people and institutions behind the system.
Codifying the Unwritten Rules
A definitive blueprint for neutral, low‑noise technical communities — the first public codification of the unwritten norms that make high‑performance environments functional, predictable, and safe. This essay explains why SDSUG formalized the expectations elite fields have relied on for decades: clarity, courtesy, neutrality, and no ideological tilt. It’s a manifesto for stewards who want to build rooms where people stop bracing, start collaborating, and finally breathe again — small, well‑run spaces where the work comes first and repair becomes possible.
Why So Many Websites Read Like War and Peace
Many modern websites read like long-form essays not because writers have become verbose, but because search engines increasingly penalize concise, high‑quality pages as “thin content.” This article explains how the Hunter Storm Official Site evolved from minimalist pages to deeper, more comprehensive pieces in order to remain visible without sacrificing clarity. It explores the tension between human reading behavior and platform evaluation systems, and why some topics require real depth to avoid distortion. The goal remains the same: say something real, say it accurately, and make it understandable.
StormWatch | Lessons from the CISA ChatGPT Incident
A detailed StormWatch analysis of the CISA ChatGPT incident, where the agency’s acting director uploaded sensitive “for official use only” documents into a public AI system, triggering internal security alerts and a DHS review. Hunter Storm breaks down why this misstep matters: how public AI tools retain data, why deletion is complex, and what happens when government information leaves controlled networks. The article examines the governance failures, access‑privilege concerns, and long‑standing risks of mixing public AI with federal workflows. It also explains how AI systems store, cache, and replicate data, and why even non‑classified materials can create lasting exposure once uploaded. A clear, structured advisory on the operational, legal, and trust implications when public AI intersects with government security.







