# Research on enterprise architecture, cybersecurity risk, and AI governance.

> Ideas built to be examined through published work on algorithmic innovation, AI performance, and the collaboration required to secure connected infrastructure.

[Canonical HTML page](https://trustcyber.ca/research/)

- Author: Junior Williams

## Publications

- [Defining Williams' Law: The Power of Algorithmic Innovation](https://doi.org/10.5281/zenodo.14946951): Performance gains come from disciplined algorithmic innovation, not only larger models.
  - Audience: Enterprise architects, AI strategy leaders, and transformation teams.
- [Think Smarter, Not Harder: Algorithmic Innovation as the Key to Exponential AI Performance](https://doi.org/10.5281/zenodo.14957577): Practical pathways to increase AI efficiency and performance through structured design choices.
  - Audience: Platform teams, CIO/CTO offices, and applied AI leaders.
- [IT/OT Collaboration in Securing Canada's Energy Sector](https://doi.org/10.5281/zenodo.14915306): Operational guidance for aligning strategy and standards with control implementation.
  - Audience: Public-sector security leaders, energy operators, and governance teams.