Building autonomous agent workflows or deploying Model Context Protocol (MCP) servers in production without rigorous security abstractions is a major liability.
To help the SecOps and AI engineering community mitigate modern attack vectors, I have open-sourced a suite of enterprise-grade security tools and diagnostic frameworks.
Here is the architectural breakdown of the core repositories available at my public hub:
https://github.com/amurlaniakea?tab=repositories
🛡️ 1. MCP Core Defense: 7-Phase Security Proxy
A robust proxy layer engineered to secure LLM agents interacting with MCP tools. This repository focuses on deterministic input-output validation and behavioral enforcement.
- Key Mitigations: Defends against tool poisoning, malicious payload delivery, description-code inconsistencies, path traversal vulnerabilities, and unauthorized API execution.
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Engineering Standards: Implemented with over 115+ automated unit and integration tests, modular architecture, and static code analysis telemetry (
sonar-project.properties) integrated via active GitHub Actions CI/CD workflows. - Core Technology Matrix: #python, #model-context-protocol, #mcp-server, #ai-security, #tool-poisoning, #proxy, #pytest, #sonarqube.
- Source: amurlaniakea/mcp-core-defense
🤖 2. Hermes Crew Hybrid: Multi-Agent Orchestration Gateway
An advanced, production-oriented hybrid architecture designed for orchestrated task execution under strict security boundaries.
- Architecture: Utilizes Hermes as a centralized orchestration layer managing decentralized, micro-crews powered by CrewAI.
- Isolation Mechanics: Every agent execution environment is completely sandboxed using isolated Docker containers. Output verification is enforced at the network perimeter via an active Agent Fixer Stage gateway to neutralize dynamic prompt-injection attacks.
- Core Technology Matrix: #crewai, #docker, #multi-agent-systems, #ollama, #litellm, #sandbox-execution, #ai-agent-security.
- Source: amurlaniakea/hermes-crew-hybrid
⚙️ 3. RepoMapper: High-Efficiency Context Optimizer
A utility designed to drastically scale down infrastructure and prompt token costs when operating with coding agents like Cline or Aider.
- Mechanics: Automatically maps deep software architectures, subsystem cross-references, test configurations, and active workflows.
- Business Impact: Achieves a proven >95% reduction in token consumption per conversation context window, enabling long-context stability.
- Core Technology Matrix: #context-window, #token-optimization, #llm-context, #cline, #aider, #code-analysis, #ast.
- Source: amurlaniakea/repomapper
🔒 4. Advanced Threat Mitigation Repositories
The portfolio includes specialized security implementations targeting edge-case vulnerabilities in federated learning and adversarial manipulation:
- Misdirection-Proxy: Implements defensive misdirection architectures against automated, multi-turn LLM jailbreak patterns (CMPE framework).
- NeuroImprint-Detector: Framework designed to audit Parameter-Efficient Fine-Tuning (PEFT) adapters for privacy backdoors and training data memorization leaks.
- NRT-Defense: Adaptive defense mechanisms for safety-critical agent execution, driving attack success rates down from 12% to <1%.
- Core Technology Matrix: #jailbreak-defense, #peft-security, #federated-learning, #adversarial-robustness, #red-teaming.
🌐 Corporate & Technical Collaboration
I am an AI Security Architect focused on building hardened, autonomous backend infrastructures. I design systems where security is embedded into the core runtime, not patched as an afterthought.
🛡️ 1. Ciberseguridad Aplicada a Inteligencia Artificial (AI Security)
Los de empresas de defensa, banca y tecnológicas buscan estos términos de forma masiva:
ai-security (Seguridad en IA)llm-security (Seguridad en Modelos de Lenguaje)agent-security (Seguridad en Agentes)tool-poisoning (Envenenamiento de Herramientas)prompt-injection-defense (Defensa contra Inyección de Prompts)jailbreak-mitigation (Mitigación de Evasión de Seguridad)adversarial-robustness (Robustez Adversarial)red-teaming-ai (Auditoría Ofensiva de IA)owasp-top-10-llm (Estándar OWASP para LLMs)input-validation (Validación de Entradas)output-guardrails (Sistemas de Control de Salida)data-leak-prevention (Prevención de Fuga de Datos)peft-security (Seguridad en Ajuste Fino de Modelos)
🤖 2. Model Context Protocol (MCP) y Ecosistema AgénticoEste es el ecosistema moderno donde te diferencias del programador común:
model-context-protocol (Protocolo de Contexto de Modelos)mcp (Siglas oficiales de búsqueda rápida)mcp-server (Servidores MCP)mcp-proxy (Proxies de Seguridad para MCP)multi-agent-systems (Sistemas Multi-Agente)agent-orchestration (Orquestación de Agentes)crewai (Framework CrewAI)hermes-agent (Agentes basados en Hermes)autonomous-agents (Agentes Autónomos)tool-calling (Ejecución de Herramientas por IA)function-calling (Llamadas a Funciones Seguras)
⚙️ 3. Infraestructura, Aislamiento y DevSecOpsLas etiquetas que demuestran que tu software está listo para entornos reales y corporativos:
devsecops (Seguridad Integrada en Desarrollo)docker-sandbox (Aislamiento mediante Contenedores)secure-sandbox (Entornos de Ejecución Seguros)runtime-security (Seguridad en Tiempo de Ejecución)ci-cd-pipelines (Automatización de Despliegues)github-actions (Automatización nativa de GitHub)sonarqube-analysis (Análisis Estático de Código)static-code-analysis (Auditoría de Código Automatizada)pytest (Testing Avanzado en Python)automated-testing (Pruebas Automatizadas)code-coverage (Cobertura de Código)infrastructure-as-code (Infraestructura como Código)📈 4. Optimización de Contexto, Costes y Arquitectura BackendTérminos financieros e ingenieriles muy atractivos para directores de tecnología (CTOs):token-optimization (Optimización de Consumo de Tokens)context-window-management (Gestión de Ventanas de Contexto)cost-efficiency (Reducción de Costes en Infraestructura IA)python-backend (Desarrollo Backend Avanzado con Python)secure-api (Diseño de APIs Seguras)ast-analysis (Análisis de Árbol de Sintaxis Abstracta)repository-mapping (Mapeo Estructurado de Repositorios)cline-extension / aider-chat (Integración con Asistentes de Código)
Gracias,Xie xie. (8) AUM,MagoPredator SPAIN.
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