Prompt Injection Defense Python by Calado Leandro (5 results)
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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£ 38.06
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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£ 34.71
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by Independently Published Mai 2026, 2026
Series: Book 4 of 4 - AI & Law Series
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
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Taschenbuch. Condition: Neu. Neuware - Protect your AI systems from prompt injection attacks before they reach production. Most developers are building LLM apps, RAG pipelines, and AI agents without a real security layer. This book shows you how to fix that with practical Python projects you can build, test, deploy, and turn int…o paid services. Prompt Injection Defense with Python is a hands-on guide for developers, AI engineers, freelancers, and technical founders who want to secure modern LLM applications using Python 3.11, FastAPI, ChromaDB, SQLite, and Docker. Inside, you will build practical AI security projects such as: - Prompt Firewall API - a FastAPI middleware that detects risky prompts, blocks malicious inputs, and assigns threat scores.- Secure RAG Pipeline - document ingestion with malicious content detection, retrieval validation, and safer context handling.- Agent Approval Gateway - a permission and audit system for AI agents that call sensitive tools and APIs.- Prompt Injection Scanner - a testing library with attack payloads and JSON vulnerability reports.- Security Dashboard - a lightweight monitoring system for attacks, logs, metrics, and incidents using SQLite.This book focuses on real implementation, not theory. You will learn how to design defensive layers around LLM applications, audit vulnerable workflows, monitor suspicious behavior, and create reusable tools that can become portfolio projects, consulting offers, or MicroSaaS products. You will also learn how to package your skills into paid AI security services, including LLM app audits, RAG security reviews, agent risk assessments, and subscription-based security tooling. If you want to build safer AI applications and turn LLM security into a practical business opportunity, this book gives you the projects, architecture, and code patterns to start.
- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 38.49
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. Protect your AI systems from prompt injection attacks before they reach production. Most developers are building LLM apps, RAG pipelines, and AI agents without a real security layer. This book shows you how to fix that with practical Python projects you can build, test, deploy, and turn into… paid services. Prompt Injection Defense with Python is a hands-on guide for developers, AI engineers, freelancers, and technical founders who want to secure modern LLM applications using Python 3.11, FastAPI, ChromaDB, SQLite, and Docker. Inside, you will build practical AI security projects such as: Prompt Firewall API - a FastAPI middleware that detects risky prompts, blocks malicious inputs, and assigns threat scores.Secure RAG Pipeline - document ingestion with malicious content detection, retrieval validation, and safer context handling.Agent Approval Gateway - a permission and audit system for AI agents that call sensitive tools and APIs.Prompt Injection Scanner - a testing library with attack payloads and JSON vulnerability reports.Security Dashboard - a lightweight monitoring system for attacks, logs, metrics, and incidents using SQLite.This book focuses on real implementation, not theory. You will learn how to design defensive layers around LLM applications, audit vulnerable workflows, monitor suspicious behavior, and create reusable tools that can become portfolio projects, consulting offers, or MicroSaaS products. You will also learn how to package your skills into paid AI security services, including LLM app audits, RAG security reviews, agent risk assessments, and subscription-based security tooling. If you want to build safer AI applications and turn LLM security into a practical business opportunity, this book gives you the projects, architecture, and code patterns to start. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
