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Prompt Injection Defense with Python: Protect LLM Apps, RAG Pipelines, AI Agents, and Tool-Calling Workflows from Real-World Prompt Attacks
Paperback
Series: AI & Law
Please select the version of book you would like to purchase.
ISBN13: 9798196154553
Publisher: Independently Published
Published: May 8 2026
Pages: 318
Weight: 0.94
Height: 0.67 Width: 6.00 Depth: 9.00
Language: English
Publisher: Independently Published
Published: May 8 2026
Pages: 318
Weight: 0.94
Height: 0.67 Width: 6.00 Depth: 9.00
Language: English
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.
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