Kali linux & frameworks usa - 9798195878467 - kali linux llms security: develop security methods in ai models with high-performance tools: 3 di rodrigues, diego (6 risultati)
Lingua: Inglese
Editore: Independently Published, 2026
- Brossura
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 24,52
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently Published, 2026
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 20,83
EUR 5,84 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently Published Mai 2026, 2026
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 30,98
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - KALI LINUX LLMs SECURITY: Develop Security Methods in AI Models with High-Performance ToolsThis book presents a practical approach to auditing, defense, and security validation in applications with LLMs using Kali Linux as the central platform for laboratory, automation, and evidence produ…ction. Aimed at professionals, students, and cybersecurity operators, the content demonstrates how to analyze language models, inference pipelines, RAG, vector databases, autonomous agents, plugins, external tools, logs, and downstream systems in authorized AI Security scenarios.The work explores current risks in generative AI based on OWASP Top 10 for LLM Applications 2025 and OWASP Top 10 for Agentic Applications 2026, connecting prompt injection, jailbreaks, data leakage, insecure output handling, excessive agency, data poisoning, failures in embeddings, supply chain, uncontrolled consumption, and attacks against agents. Workflows with Python, Bash, Docker, curl, jq, grep, FastAPI, Pydantic, ChromaDB, Garak, PyRIT, Wireshark, tcpdump, JSONL logs, synthetic canaries, schemas, allowlists, AI Gateways, output validation, hardening, monitoring, and incident response in applications with LLMs are also covered.You will learn to: \* Build LLM Security laboratories in Kali Linux with isolation, evidence, and automation \* Analyze inference pipelines, prompts, context, RAG, embeddings, and vector databases \* Test prompt injection, jailbreaks, data leakage, and insecure output handling \* Validate autonomous agents, plugins, tools, external APIs, and downstream systems \* Apply OWASP LLM 2025 and OWASP Agentic 2026 to real threat models \* Use Python, Docker, curl, jq, grep, Garak, and PyRIT in authorized audits \* Build hardening, observability, incident response, and maturity controls in AI securityBy the end, you will be able to execute complete LLM Security routines with Kali Linux, integrating technical reconnaissance, controlled adversarial tests, RAG validation, agent analysis, hardening, monitoring, evidence collection, incident response, and production of professional reports for audits, authorized AI red teaming, and defense of applications with generative AI.
Lingua: Inglese
Editore: Independently Published, 2026
- Brossura
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 21,28
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. KALI LINUX LLMs SECURITY: Develop Security Methods in AI Models with High-Performance ToolsThis book presents a practical approach to auditing, defense, and security validation in applications with LLMs using Kali Linux as the central platform for laboratory, automation, and evidence produc…tion. Aimed at professionals, students, and cybersecurity operators, the content demonstrates how to analyze language models, inference pipelines, RAG, vector databases, autonomous agents, plugins, external tools, logs, and downstream systems in authorized AI Security scenarios.The work explores current risks in generative AI based on OWASP Top 10 for LLM Applications 2025 and OWASP Top 10 for Agentic Applications 2026, connecting prompt injection, jailbreaks, data leakage, insecure output handling, excessive agency, data poisoning, failures in embeddings, supply chain, uncontrolled consumption, and attacks against agents. Workflows with Python, Bash, Docker, curl, jq, grep, FastAPI, Pydantic, ChromaDB, Garak, PyRIT, Wireshark, tcpdump, JSONL logs, synthetic canaries, schemas, allowlists, AI Gateways, output validation, hardening, monitoring, and incident response in applications with LLMs are also covered.You will learn to: * Build LLM Security laboratories in Kali Linux with isolation, evidence, and automation * Analyze inference pipelines, prompts, context, RAG, embeddings, and vector databases * Test prompt injection, jailbreaks, data leakage, and insecure output handling * Validate autonomous agents, plugins, tools, external APIs, and downstream systems * Apply OWASP LLM 2025 and OWASP Agentic 2026 to real threat models * Use Python, Docker, curl, jq, grep, Garak, and PyRIT in authorized audits * Build hardening, observability, incident response, and maturity controls in AI securityBy the end, you will be able to execute complete LLM Security routines with Kali Linux, integrating technical reconnaissance, controlled adversarial tests, RAG validation, agent analysis, hardening, monitoring, evidence collection, incident response, and production of professional reports for audits, authorized AI red teaming, and defense of applications with generative AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Independently published, 2026
- Brossura
- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 21,29
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Independently Published, 2026
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 24,56
EUR 43,06 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. KALI LINUX LLMs SECURITY: Develop Security Methods in AI Models with High-Performance ToolsThis book presents a practical approach to auditing, defense, and security validation in applications with LLMs using Kali Linux as the central platform for laboratory, automation, and evidence produc…tion. Aimed at professionals, students, and cybersecurity operators, the content demonstrates how to analyze language models, inference pipelines, RAG, vector databases, autonomous agents, plugins, external tools, logs, and downstream systems in authorized AI Security scenarios.The work explores current risks in generative AI based on OWASP Top 10 for LLM Applications 2025 and OWASP Top 10 for Agentic Applications 2026, connecting prompt injection, jailbreaks, data leakage, insecure output handling, excessive agency, data poisoning, failures in embeddings, supply chain, uncontrolled consumption, and attacks against agents. Workflows with Python, Bash, Docker, curl, jq, grep, FastAPI, Pydantic, ChromaDB, Garak, PyRIT, Wireshark, tcpdump, JSONL logs, synthetic canaries, schemas, allowlists, AI Gateways, output validation, hardening, monitoring, and incident response in applications with LLMs are also covered.You will learn to: * Build LLM Security laboratories in Kali Linux with isolation, evidence, and automation * Analyze inference pipelines, prompts, context, RAG, embeddings, and vector databases * Test prompt injection, jailbreaks, data leakage, and insecure output handling * Validate autonomous agents, plugins, tools, external APIs, and downstream systems * Apply OWASP LLM 2025 and OWASP Agentic 2026 to real threat models * Use Python, Docker, curl, jq, grep, Garak, and PyRIT in authorized audits * Build hardening, observability, incident response, and maturity controls in AI securityBy the end, you will be able to execute complete LLM Security routines with Kali Linux, integrating technical reconnaissance, controlled adversarial tests, RAG validation, agent analysis, hardening, monitoring, evidence collection, incident response, and production of professional reports for audits, authorized AI red teaming, and defense of applications with generative AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
