Notes from the edge of secure systems.
Essays and paper digests by Shane Trimbur: security engineering, applied AI, and the occasional detour into physics and biology. Written by a network architect who reads outside his lane on purpose.
Security engineering, applied AI, and reading notes from adjacent fields — papers worth your time, translated without the hype.
Two papers, worlds apart—one mapping disease from cell-free DNA, the other decoding carbon ratios in the Milky Way—both arrive at similar methods. The real insight? Read beyond your field.
A new paper introduces a model predictive control (MPC) framework that guarantees real-time docking maneuvers for spacecraft, even under tight compute constraints. Here's how time-bounded optimization unlocks autonomy in orbit.
A new approach to vehicle-to-everything (V2X) networks fuses RF, vision, and LiDAR while compressing AI models for edge deployment. Here's how modality generation and lightweight design will shape 6G communications.
A new study reveals how GPTs can leak sensitive file data through five distinct vectors. Here's how experts in DSPM, SaaS security, and data governance can apply their skills to mitigate real-world LLM risks.
When customer success transcends mere relationship management and becomes a practice of mutual flourishing, it can provide deep satisfaction and meaning for the practitioner.
Template strings represent a significant evolution in how we can build secure, maintainable query automation tools. For security professionals working with KQL, SQL, and other query languages, this feature will eliminate many current pain points while opening up new possibilities for sophisticated security tooling.
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