KALI LINUX LLMs SECURITY: Desenvolva Métodos de Segurança em Modelos de IA com Ferramentas de Alta Performance
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KALI LINUX LLMs SECURITY: Desenvolva M�todos de Seguran�a em Modelos de IA com Ferramentas de Alta Performance
Este livro apresenta uma abordagem pr�tica para auditoria, defesa e valida��o de seguran�a em aplica��es com LLMs utilizando Kali Linux como plataforma central de laborat�rio, automa��o e produ��o de evid�ncias. Voltado a profissionais, estudantes e operadores de ciberseguran�a, o conte�do demonstra como analisar modelos de linguagem, pipelines de infer�ncia, RAG, bancos vetoriais, agentes aut�nomos, plugins, ferramentas externas, logs e sistemas downstream em cen�rios autorizados de AI Security.
A obra explora riscos atuais em IA generativa com base em OWASP Top 10 for LLM Applications 2025 e OWASP Top 10 for Agentic Applications 2026, conectando prompt injection, jailbreaks, vazamento de dados, insecure output handling, excessive agency, data poisoning, falhas em embeddings, supply chain, consumo n�o controlado e ataques contra agentes. Tamb�m s�o abordados workflows com Python, Bash, Docker, curl, jq, grep, FastAPI, Pydantic, ChromaDB, Garak, PyRIT, Wireshark, tcpdump, logs JSONL, can�rios sint�ticos, schemas, allowlists, AI Gateways, valida��o de sa�da, hardening, monitoramento e resposta a incidentes em aplica��es com LLMs.
Voc� aprender� a:
- Montar laborat�rios de LLM Security no Kali Linux com isolamento, evid�ncias e automa��o - Analisar pipelines de infer�ncia, prompts, contexto, RAG, embeddings e bancos vetoriais - Testar prompt injection, jailbreaks, vazamento de dados e output handling inseguro - Validar agentes aut�nomos, plugins, ferramentas, APIs externas e sistemas downstream - Aplicar OWASP LLM 2025 e OWASP Agentic 2026 em modelos de amea�a reais - Usar Python, Docker, curl, jq, grep, Garak e PyRIT em auditorias autorizadas - Construir controles de hardening, observabilidade, resposta a incidentes e maturidade em seguran�a de IA
Ao final, estar� apto a executar rotinas completas de LLM Security com Kali Linux, integrando reconhecimento t�cnico, testes adversariais controlados, valida��o de RAG, an�lise de agentes, hardening, monitoramento, coleta de evid�ncias, resposta a incidentes e produ��o de relat�rios profissionais para auditorias, AI red teaming autorizado e defesa de aplica��es com IA generativa.
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