Secure AI-Assisted .NET Modernisation: Move to Modern .NET Without the IP Risk

The Problem with "Public" AI Code Migration

Using public LLMs for code migration introduces three critical risks that most providers ignore:

• IP Leakage: Uploading proprietary .NET source code to public cloud models creates a permanent compliance shadow.
  

• The "False Progress" Trap: AI can generate syntactically correct code that fails at the architectural level due to context loss.
  

• The Dependency Wall: Modernisation isn’t just code; it’s an ecosystem of NuGet packages, runtimes, and security postures that public models often hallucinate.

The Artrilogic Difference: Our 3-Pillar Framework

Transform your legacy .NET apps with AI-driven migration tailored for Australia.

1. Architectural Alignment First

We believe AI helps you move confusion faster if the destination isn't defined. We begin every project by establishing a Target State Architecture.

• Intent Preservation: We don't just migrate syntax; we preserve business rules hidden in event-driven legacy behaviour.
  

• UI Intelligence: We tackle the hardest part, transitioning legacy ASP.NET Web Forms or MVC into modern Blazor or React architectures with human-in-the-loop validation.

2. Private & Air-Gapped AI Infrastructure

We don't use public APIs. We process your codebase using local, high-performance LLMs running on isolated multi-GPU infrastructure via Ollama.

• Zero Data Transit: Your code never leaves our secure environment.
  

• Zero Trust: This is key component of every security and we embrace.
  

• Sovereignty: Ideal for regulated industries (Finance, Healthcare, Government) where data residency is non-negotiable.

3. Intelligent Decomposition

Even 1M-token context windows have limits.

We use a proprietary slicing strategy to break your monolith into manageable context chunks.

This ensures the AI understands the "why" behind your code, reducing hallucination and ensuring a 100% functional dependency graph.

The Artrilogic Migration Roadmap

Phase 1: Deep Discovery & Assessment

We map your application’s dependency graph and identify "high-friction" areas like custom UI components and legacy security providers.

Phase 2: Secure Environment Setup

We spin up a dedicated, offline AI instance tailored to your codebase’s specific libraries and patterns.

Phase 3: Governed AI Execution

Our engineers guide the AI through the migration in logical slices. Every output is validated against your modern architectural goals—not just "does it compile."

Phase 4: Validation & Hardening

We perform rigorous integration testing to ensure performance, scalability, and security meet 2026 standards.

Our .NET migration was seamless and faster than expected, thanks to their experience.

J. Lee

★★★★★

Why Trust Artrilogic?

Modernisation is a craft, not a script. We combine decades of .NET experience with cutting-edge AI orchestration to turn a six-month roadmap into a matter of weeks. We don't just move code; we deliver a maintainable, high-performance future for your software.

"The biggest risk isn't that AI writes bad code; it's that businesses mistake fast output for a safe strategy." — Artrilogic Lead Architect

shared thoughts on modernisation experience

.NET Modernisation

Ready to upgrade your .NET apps with AI?

FAQs

Q: Can we migrate directly from older .NET Framework (e.g., 3.5 or 4.5) to .NET 8/10?

A: Yes, but it is rarely a "one-click" process. While AI can handle the syntactic heavy lifting, older versions often rely on deprecated libraries (like System.Web) or legacy WCF configurations that have no direct equivalent in modern .NET. Our approach uses AI to identify these "friction points" early, enabling us to architect modern alternatives such as Minimal APIs or gRPC before the migration begins.

Q: How do you prevent our source code from being used to train public AI models?

A: This is our core security advantage. Unlike tools that rely on public APIs (which can have ambiguous data-retention policies), we run local LLMs on air-gapped, private GPU infrastructure. We use the Ollama framework to serve models internally. Your code never leaves the Artrilogic secure perimeter, ensuring 100% data sovereignty and compliance with GDPR, HIPAA, or SOC2 requirements.

Q: Why not just use the Microsoft .NET Upgrade Assistant?

A: The Upgrade Assistant is a great tool for simple projects, but it often struggles with dependency hell and complex architectural patterns in enterprise monoliths. It can move the code, but it doesn't "think" about your business logic. We use AI to fill the gap—refactoring code patterns, implementing Dependency Injection, and updating Entity Framework 6 to EF Core—tasks that standard automation tools typically flag but cannot fix.

Q: How does AI handle legacy UI like Web Forms or Silverlight?

A: UI is where most automation fails because rendering logic is often tightly coupled with backend code. We don't attempt "blind" conversion. Instead, we use AI to extract the business intent from legacy components and map them to modern Blazor or React components. This preserves the user experience while completely modernising the underlying tech stack.

Q: What is the typical ROI on an AI-assisted migration?

A: Traditional manual migrations for enterprise apps can take 12–18 months. By using our secure AI orchestration, we typically see a 40-60% reduction in timeline. The ROI comes not just from the speed of delivery, but from the massive reduction in "technical debt interest" and the ability to leverage modern cloud-native performance immediately.

Q: Does your AI understand custom, in-house libraries?

A: Yes. Because we use a RAG (Retrieval-Augmented Generation) approach within our local environment, we can "feed" our models your internal documentation and library metadata. This allows the AI to understand your unique coding standards and proprietary frameworks, ensuring the migrated code feels like it was written by your own team.