CAISI / Research + Operating Notes

Centre for AI Security and Integrity

We publish independent, reproducible research on AI agent governance and write practical operating notes for teams trying to ship agentic systems without losing control.

Control before execution Deterministic validation Proof over narrative

About

Research that can be checked

We at CAISI publish independent, reproducible research on AI agent governance. Every headline claim is backed by machine-generated artifacts, deterministic queries, and open methodology. The point is not to add more rhetoric to the market. The point is to make the control problem visible and measurable.

Use the research hub when you want the primary artifact, the claims, and the study framing. Use the blog when you want the operating implications: repo contracts, orchestration, isolation, evaluation, discovery, policy, and proof of work for AI-generated change.

Research

Published reports and live builds

The research hub is the canonical entry point for report pages, methodology, and artifact-backed findings.

Blog

Collection-based operating notes

The blog is organized as a set of collections with clear jobs: one framework series, one executive adoption series, two report interpretation series, one benchmark series, two implementation series, plus a field guide and glossary.

Executive adoption series

From AI Pilots to Governed Adoption

Five posts on platform standards, sanctioned pathways, approval discipline, and how leaders move from AI pilots to governed use.

Benchmark series

How to Evaluate Agentic Control

Five posts on risk scenarios, control efficacy, proof completeness, and pilot evaluation language for buyers.

Implementation series

Invisible Write Paths

Discovery across local setup, repos, MCP configs, CI workflows, and the evidence layer security can defend.

Implementation series

Policy Before Action

Tool-boundary policy, MCP enforcement, signed traces, and deterministic regressions in CI.

Reference

Field guide, glossary, and author profile

These reference pages are separate from the series collections. Use them when you want one entry point to the CAISI vocabulary, the core governance concepts, or the author context behind the essays.

Team

CAISI contributors

Contact

Get in touch

For research questions, publication inquiries, or collaboration around reproducible AI governance work: research@caisi.dev