KALI LINUX LLMs SECURITY: Desarrolle Métodos de Seguridad en Modelos de IA con Herramientas de Alto Rendimiento
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KALI LINUX LLMs SECURITY: Desarrolle M�todos de Seguridad en Modelos de IA con Herramientas de Alto Rendimiento
Este libro presenta un enfoque pr�ctico para auditor�a, defensa y validaci�n de seguridad en aplicaciones con LLMs utilizando Kali Linux como plataforma central de laboratorio, automatizaci�n y producci�n de evidencias. Orientado a profesionales, estudiantes y operadores de ciberseguridad, el contenido demuestra c�mo analizar modelos de lenguaje, pipelines de inferencia, RAG, bases vectoriales, agentes aut�nomos, plugins, herramientas externas, logs y sistemas downstream en escenarios autorizados de AI Security.
La obra explora riesgos actuales en IA generativa con base en OWASP Top 10 for LLM Applications 2025 y OWASP Top 10 for Agentic Applications 2026, conectando prompt injection, jailbreaks, fuga de datos, insecure output handling, excessive agency, data poisoning, fallas en embeddings, supply chain, consumo no controlado y ataques contra agentes. Tambi�n se abordan workflows con Python, Bash, Docker, curl, jq, grep, FastAPI, Pydantic, ChromaDB, Garak, PyRIT, Wireshark, tcpdump, logs JSONL, canarios sint�ticos, schemas, allowlists, AI Gateways, validaci�n de salida, hardening, monitoreo y respuesta a incidentes en aplicaciones con LLMs.
Aprender� a:
- Montar laboratorios de LLM Security en Kali Linux con aislamiento, evidencias y automatizaci�n - Analizar pipelines de inferencia, prompts, contexto, RAG, embeddings y bases vectoriales - Probar prompt injection, jailbreaks, fuga de datos y output handling inseguro - Validar agentes aut�nomos, plugins, herramientas, APIs externas y sistemas downstream - Aplicar OWASP LLM 2025 y OWASP Agentic 2026 en modelos de amenaza reales - Usar Python, Docker, curl, jq, grep, Garak y PyRIT en auditor�as autorizadas - Construir controles de hardening, observabilidad, respuesta a incidentes y madurez en seguridad de IA
Al final, estar� apto para ejecutar rutinas completas de LLM Security con Kali Linux, integrando reconocimiento t�cnico, pruebas adversariales controladas, validaci�n de RAG, an�lisis de agentes, hardening, monitoreo, recolecci�n de evidencias, respuesta a incidentes y producci�n de informes profesionales para auditor�as, AI red teaming autorizado y defensa de aplicaciones con IA generativa.
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