Articles, technical guides, and security research from Nsisong Labs on product development, automation engineering, AI safety, and the infrastructure that supports them.
Architecture, delivery, and technical strategy for serious products.
View articlesPractical guides to scaling, observability, and keeping costs under control.
View articlesCode review, threat modeling, and practical security for modern products.
View articlesAPIs, data, and platforms for modern finance, banking, and insurance.
View articlesDigital front doors, portals, and data for healthcare organizations.
View articlesFoundations and patterns for early-stage engineering teams.
View articlesShowing 1 to 6 of 44 articles
Your product gets tested on fast office Wi-Fi and used on a patchy mobile connection. Here is how we design for the second one, and why it makes the product better for everyone.
Isaac Emmanuel 
Most first versions fail because they try to do too much, not too little. Here is how we cut an MVP down to the part that proves the business.
Isaac Emmanuel 
Early products rarely get hurt by clever attacks. They get hurt by an open admin route, a leaked key or a missing access check. Here is the short list we run before anything ships.
Isaac Emmanuel 
If someone on your team copies data between two tabs every morning, that is a job for software. Here is how we pick the first workflow to automate and how we keep it from breaking.
Isaac Emmanuel 
A working AI demo is easy. A feature that holds up against real users, bad inputs and prompt injection takes more planning. Here is what we put in place before an LLM feature goes live.
Isaac Emmanuel 
Most healthcare software problems are handoff problems. Before building anything new, we map where information drops between systems and people.
Isaac Emmanuel In-depth research from our security, AI, and automation work, including the Koreshield threat intelligence framework.
Presents a middleware architecture for real-time detection of indirect prompt injection in enterprise RAG systems. Introduces a cross-document correlation engine that identifies fragmented attack payloads distributed across multiple retrieved chunks. Evaluated across 5,000 adversarial scenarios.
Introduces a five-dimensional taxonomy for classifying indirect prompt injection attacks against enterprise RAG deployments, covering injection vector, operational target, persistence mechanism, enterprise context, and detection complexity.
Demonstrates attacks where malicious instructions in tool outputs redirect autonomous LLM agents. Proof-of-concept across LangChain, AutoGen, and Claude Tools confirms the weakness is architectural rather than framework-specific.
Threat report analysing prompt injection activity across production LLM deployments, drawing on over two million intercepted requests. Documents the shift toward indirect injection via RAG pipelines as the dominant enterprise attack vector.
Structured taxonomy of indirect prompt injection attacks targeting RAG pipelines across four classes: instruction embedding, role impersonation, context poisoning, and cross-document chaining.
A comprehensive review of smart contract vulnerabilities, common attack vectors (reentrancy, integer overflow, access control), and how automated tools can detect them before deployment.
Technical deep-dive into building and deploying convolutional neural networks for medical image classification. Covers dataset preparation, model architecture choices, validation methodology, and responsible deployment in healthcare settings.
Design and implementation of the eClinic LRAS hardware system for direct HL7-based lab result transmission to hospital information management systems.
Practical development guides drawn from our project work and published articles.
Step-by-step guide covering project structure, authentication, error handling, logging, rate limiting, and deployment best practices.
Patterns for organizing React applications: compound components, render props, custom hooks, and state management strategies that scale with your team.
From Solidity basics to deploying and verifying smart contracts on Ethereum and Polygon. Includes testing with Hardhat and security considerations.
How to analyze processes, choose the right tools, and implement workflow automation that delivers measurable ROI.
Foundational security practices for software teams: threat modeling, secure defaults, and code review habits that scale.
Practical guidance on observability, cost control, and infrastructure choices as your product and team grow.
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