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Insights, research, and analysis on AI-assisted software development governance.

Featured Articles

Why AI Governance Must Integrate with Your Existing EA Framework

January 2026 • 12 min read

Organizations treating AI governance as separate from enterprise architecture create governance gaps and duplicate efforts. This article explains why AI governance must integrate with TOGAF, Zachman, and SAFe—and how LocalM™ AiD principles enable this integration.

The Hidden Compliance Crisis: Why AI-Generated Code Demands Enterprise Architecture Governance

January 2026 • 15 min read

A comprehensive analysis of compliance risks posed by AI coding agents across regulated industries. Covers PCI-DSS, SOX, HIPAA, GDPR, ISO 27001, FDA, DORA, EU AI Act, and international requirements for AI-generated code validation.

About This Blog

The LocalM™ AiD Blog publishes in-depth research and analysis on the intersection of enterprise architecture principles and AI-assisted software development. Our articles are designed for:

• Chief Information Security Officers (CISOs) evaluating AI coding tool risks
• Chief Technology Officers (CTOs) building AI governance strategies
• Enterprise Architects designing frameworks for AI tool adoption
• Compliance Officers navigating regulatory requirements
• Development Leaders implementing secure AI-assisted workflows

All articles cite reputable sources including peer-reviewed research, official regulatory guidance, and enterprise reports from organizations such as McKinsey, Gartner, PwC, Deloitte, NIST, OWASP, Microsoft Azure, Google Cloud, AWS, and the PCI Security Standards Council.

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Disclaimer: Content is provided "as is" without warranty of any kind. Information is for general purposes only and does not constitute legal or professional advice. License: MPL 2.0 + Attribution or Enterprise.