TRACK 01
Generative AI in a regulated financial institution
Six parts on adopting generative AI where the standard is demonstrability: regulation, frameworks, architecture, development workflow and harness.
6 articles- 01
Generative AI in regulated environments
In a regulated financial institution, the criterion is not speed: it is demonstrability. This introduction establishes the thesis, the Product ≠ Provider principle, and the map of the next five parts.
· 7 min read - 02
The Brazilian Regulatory Maze: What BACEN, CVM, ANBIMA, and the LGPD Require Before the First Prompt
Part 2 of 6 in the series Generative AI in a Regulated Financial Institution.
· 13 min read - 03
Frameworks in practice: NIST AI RMF, ISO 42001, OWASP, and GAIG translated into controls and evidence
There is a crucial difference between citing a framework in a Board presentation (or merely putting it in a policy) and implementing it so that an external auditor can verify it. The first is easy and fits on a slide; the second…
· 9 min read - 04
Architecture: where policy becomes technical control and why data residency defines the design
From policy to technical control - Part 4 of "Generative AI in a Regulated Financial Institution".
· 14 min read - 05
Spec-Driven Development with AI: Five Anti-Patterns and the Workflow That Makes Responses Traceable
Part 5 of 6 — Series: Generative AI in a Regulated Financial Institution
· 16 min read - 06