Articles
Insights, tutorials, and perspectives on building secure AI applications. Whether you're just getting started or looking to deepen your understanding, these articles cover practical approaches to developing with modern AI stacks.
Navigating AI Security: Essential Frameworks for Trustworthy Intelligence
Explore the top 10 AI security frameworks of 2025, provides direct links to each, and centers on a detailed OWASP LLM Top 10 to MITRE ATLAS mapping table to help developers and security teams understand, prioritize, and defend against the most critical risks in modern AI systems.
From Code to Trustworthy AI: The Complete Evolution of DevOps, DevSecOps, MLOps, and DevMLOps
Trace the evolution from DevOps (velocity) through DevSecOps (security), MLOps (reproducibility), to DevMLOps (trustworthy AI), using a unified eight-stage layered model, detailed comparisons, and production-ready diagrams to show exactly what each paradigm adds and how to adopt the full secure AI pipeline in 2025–2026.
Scaling Model Inference: When and How to Evolve Your Connection Strategy
The article explains how to start with simple, serverless model hosting (like Hugging Face) and progressively scale through dedicated endpoints, cloud-managed services, and finally high-performance or private deployments, choosing providers and protocols (REST vs gRPC) based on traffic, latency, cost, and integration paths such as Hugging Face’s native bridges into AWS SageMaker and Azure ML.
Multi-Cloud Identity Reference Architecture: AWS and Azure
Centralized multi-cloud identity reference architecture for AWS and Azure.