Items related to Prompt Injection Defense with Python: Protect LLM Apps,...
Prompt Injection Defense with Python: Protect LLM Apps, RAG Pipelines, AI Agents, and Tool-Calling Workflows from Real-World Prompt Attacks (AI & Law Series) - Softcover
Book 4 of 4: AI & Law Series
Synopsis
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.
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.
"synopsis" may belong to another edition of this title.
Search results for Prompt Injection Defense with Python: Protect LLM Apps,...
Stock Image
Prompt Injection Defense with Python
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798196154553
Stock Image
Prompt Injection Defense with Python
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798196154553
Buy New
US$ 48.36
US$ 5.63 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Prompt Injection Defense with Python: Protect LLM Apps, RAG Pipelines, AI Agents, and Tool-Calling Workflows from Real-World Prompt Attacks (AI & Law Series)
Print on DemandSeller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # I-9798196154553
Stock Image
Prompt Injection Defense with Python (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
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. Seller Inventory # 9798196154553
Buy New
US$ 53.63
US$ 50.06 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
Prompt Injection Defense with Python : Protect LLM Apps, RAG Pipelines, AI Agents, and Tool-Calling Workflows from Real-World Prompt Attacks
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
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 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. Seller Inventory # 9798196154553
Buy New
US$ 99.39
US$ 35.47 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available