The conversation around AI security has shifted—from protecting data to governing model behavior. Part 1 of this Stravoris series explains how to embed security, privacy, and responsible-AI controls at the design layer of LLM applications.

Most AI initiatives die between proof-of-concept and production. Learn how to design PoCs that retire real uncertainty, prove value, and lead to production-grade AI systems that scale safely and profitably.

Practical guidance for .NET teams adopting AI. Part 2 of the Stravoris AI Practice Playbook explores the cultural, technical, and organizational challenges of AI-infused .NET apps — and how to overcome them.

Discover how .NET teams can evolve from building enterprise systems to creating intelligent applications powered by AI. This first part of a two-part series explores the vision, opportunity, and key moves that turn C#/.NET into the backbone of AI-infused enterprise solutions.

AI pilots are easy. Real business impact isn’t. This article shows why organizations must treat AI as a core engineering discipline -complete with strategy, governance, and delivery muscle - to achieve measurable ROI.