Article January 18, 2025
Patient Data Analytics in Healthcare IT
Building analytics systems for healthcare data that provide insights while protecting patient privacy: anonymization, aggregation, and secure analytics patterns.
Isaac Emmanuel Our Blog
Articles, technical guides, and security research from Nsisong Labs on product development, automation engineering, AI safety, and the infrastructure that supports them.
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Architecture, delivery, and technical strategy for serious products.
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Practical guides to scaling, observability, and keeping costs under control.
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Code review, threat modeling, and practical security for modern products.
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APIs, data, and platforms for modern finance, banking, and insurance.
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Digital front doors, portals, and data for healthcare organizations.
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Showing 1 to 6 of 33 articles
Isaac Emmanuel 
Article January 15, 2025
Telemedicine Platform Architecture: Scaling Virtual Care
Architecture patterns for telemedicine platforms: video conferencing, scheduling, EHR integration, and scaling to handle demand spikes.
Victor Edidiong 
Article January 12, 2025
EHR Integration Patterns: Connecting Healthcare Systems Safely
Practical patterns for integrating with Electronic Health Records (EHR) systems: HL7, FHIR, security, and real-world implementation approaches.
Ayodeji Godblessing 
Tutorial January 10, 2025
Open Banking Implementation: APIs, Security, and Regulatory Compliance
Practical guide to implementing open banking: PSD2, API design, consent management, and third-party integration patterns.
Victor Edidiong 
Article January 8, 2025
Fraud Detection Systems for Banking IT: Balancing Security and Experience
Building fraud detection systems that catch real threats without creating friction for legitimate customers: ML models, rules engines, and real-time processing.
Isaac Emmanuel Article January 5, 2025
Core Banking System Modernization: Replacing the Engine While Flying
Strategies for modernizing core banking systems without disrupting operations: incremental approaches, API layers, and data migration.
Ayodeji Godblessing Whitepapers & Research
In-depth research from our security, AI, and automation work, including the Koreshield threat intelligence framework.
LLM-Firewall: A Lightweight Middleware Architecture for Real-Time Detection of Indirect Prompt Injection in Enterprise RAG Systems
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.
Middleware ArchitectureReal-Time DetectionProduction AI
LLM-Firewall: A Novel Taxonomy of Indirect Prompt Injection Attacks in Enterprise RAG Systems
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.
Prompt InjectionRAG SecurityTaxonomy
Tool Call Hijacking in Agentic Pipelines: A Practical Demonstration
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.
Agentic AITool SecurityLLM Agents
The State of Prompt Injection in Production LLM Systems
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.
Threat IntelligencePrompt InjectionRAG
Indirect Prompt Injection via Retrieved Documents: Attack Taxonomy and Mitigations
Structured taxonomy of indirect prompt injection attacks targeting RAG pipelines across four classes: instruction embedding, role impersonation, context poisoning, and cross-document chaining.
RAG SecurityAttack TaxonomyMitigation
Smart Contract Security: Patterns, Anti-Patterns, and Automated Auditing
A comprehensive review of smart contract vulnerabilities, common attack vectors (reentrancy, integer overflow, access control), and how automated tools can detect them before deployment.
BlockchainSmart ContractsSecurity Auditing
AI-Assisted Medical Imaging: Deploying Deep Learning for Clinical Decision Support
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.
AI/MLHealthcareDeep Learning
Laboratory Result Automation: Hardware-Software Integration for Healthcare
Design and implementation of the eClinic LRAS hardware system for direct HL7-based lab result transmission to hospital information management systems.
IoTHealthcareHL7Automation
Technical Guides
Practical development guides drawn from our project work and published articles.
Setting Up a Production-Ready Node.js API
Step-by-step guide covering project structure, authentication, error handling, logging, rate limiting, and deployment best practices.
Node.jsAPIBackend
Read guide
React Component Architecture for Scale
Patterns for organizing React applications: compound components, render props, custom hooks, and state management strategies that scale with your team.
ReactArchitectureFrontend
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Blockchain Development Fundamentals
From Solidity basics to deploying and verifying smart contracts on Ethereum and Polygon. Includes testing with Hardhat and security considerations.
BlockchainSolidityWeb3
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Automation Engineering Best Practices
How to analyze processes, choose the right tools, and implement workflow automation that delivers measurable ROI.
AutomationRPAEngineering
Read guide
Practical Information Security Basics
Foundational security practices for software teams: threat modeling, secure defaults, and code review habits that scale.
SecurityDevOpsEngineering
Read guide
Cloud Strategy for Growing Teams
Practical guidance on observability, cost control, and infrastructure choices as your product and team grow.
CloudDevOpsInfrastructure
Read guide
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