LEASH — Lightweight Encrypted Agent Secret Handling. A proposed companion standard to MCP for secure, auditable, human-controlled secret access by AI agents.
Code for constructing and evaluating neuro-symbolic prompting methods. Used for experiments in "The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models."
This repository conducts security audits on digital identity verification systems, identifies vulnerabilities through whitepapers and technical POCs, and offers decentralized, privacy-preserving solutions.
Position paper: The Pre-Articulation Observability Boundary - A Structural Constraint on Language-Based AI Systems (December 2025)
Paper submitted to ECIS workshop on Surveillance in Digital Society
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