KALI LINUX LLMs SECURITY (Paperback)
Language: Spanish
Published by Independently Published, 2026
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 22.49
Quantity: 1 available
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Paperback. KALI LINUX LLMs SECURITY: Desarrolle Metodos de Seguridad en Modelos de IA con Herramientas de Alto RendimientoEste libro presenta un enfoque practico para auditoria, defensa y validacion de seguridad en aplicaciones con LLMs utilizando Kali Linux como plataforma central de laboratorio, automatizacion y produccion de evidencias. Orientado a profesionales, estudiantes y operadores de ciberseguridad, el contenido demuestra como analizar modelos de lenguaje, pipelines de inferencia, RAG, bases vectoriales, agentes autonomos, 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. Tambien se abordan workflows con Python, Bash, Docker, curl, jq, grep, FastAPI, Pydantic, ChromaDB, Garak, PyRIT, Wireshark, tcpdump, logs JSONL, canarios sinteticos, schemas, allowlists, AI Gateways, validacion de salida, hardening, monitoreo y respuesta a incidentes en aplicaciones con LLMs.Aprendera a: - Montar laboratorios de LLM Security en Kali Linux con aislamiento, evidencias y automatizacion - Analizar pipelines de inferencia, prompts, contexto, RAG, embeddings y bases vectoriales - Probar prompt injection, jailbreaks, fuga de datos y output handling inseguro - Validar agentes autonomos, 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 auditorias autorizadas - Construir controles de hardening, observabilidad, respuesta a incidentes y madurez en seguridad de IAAl final, estara apto para ejecutar rutinas completas de LLM Security con Kali Linux, integrando reconocimiento tecnico, pruebas adversariales controladas, validacion de RAG, analisis de agentes, hardening, monitoreo, recoleccion de evidencias, respuesta a incidentes y produccion de informes profesionales para auditorias, AI red teaming autorizado y defensa de aplicaciones con IA generativa. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9798196005121
- Title
- KALI LINUX LLMs SECURITY (Paperback)
- Author
- Studiod21 Smart Tech Content
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- Spanish
- ISBN 13
- 9798196005121
- Series
- Book 4 of 21: KALI LINUX & FRAMEWORKS España
KALI LINUX LLMs SECURITY: Desarrolle Métodos de Seguridad en Modelos de IA con Herramientas de Alto Rendimiento
Este libro presenta un enfoque práctico para auditoría, defensa y validación de seguridad en aplicaciones con LLMs utilizando Kali Linux como plataforma central de laboratorio, automatización y producción de evidencias. Orientado a profesionales, estudiantes y operadores de ciberseguridad, el contenido demuestra cómo analizar modelos de lenguaje, pipelines de inferencia, RAG, bases vectoriales, agentes autónomos, 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. También se abordan workflows con Python, Bash, Docker, curl, jq, grep, FastAPI, Pydantic, ChromaDB, Garak, PyRIT, Wireshark, tcpdump, logs JSONL, canarios sintéticos, schemas, allowlists, AI Gateways, validación de salida, hardening, monitoreo y respuesta a incidentes en aplicaciones con LLMs.
Aprenderá a:
• Montar laboratorios de LLM Security en Kali Linux con aislamiento, evidencias y automatización • Analizar pipelines de inferencia, prompts, contexto, RAG, embeddings y bases vectoriales • Probar prompt injection, jailbreaks, fuga de datos y output handling inseguro • Validar agentes autónomos, 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 auditorías autorizadas • Construir controles de hardening, observabilidad, respuesta a incidentes y madurez en seguridad de IA
Al final, estará apto para ejecutar rutinas completas de LLM Security con Kali Linux, integrando reconocimiento técnico, pruebas adversariales controladas, validación de RAG, análisis de agentes, hardening, monitoreo, recolección de evidencias, respuesta a incidentes y producción de informes profesionales para auditorías, AI red teaming autorizado y defensa de aplicaciones con IA generativa.
"Synopsis" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
Shipping rates from United Kingdom to U.S.A.
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