RAG & Agentic AI Guardrails Interview Mastery — 2026: 220 Interview Questions and Answers on AI Security, Prompt Injection, RAG Safety, Agent Governance, Evaluation, and Production-Ready AI Systems
Language: English
Published by Independently published, 2026
- Softcover
- New
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- Title
- RAG & Agentic AI Guardrails Interview Mastery — 2026: 220 Interview Questions and Answers on AI Security, Prompt Injection, RAG Safety, Agent Governance, Evaluation, and Production-Ready AI Systems
- Author
- Kumar, Dr. Sanjay Nakharu Prasad
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798161673010
220 Interview Questions and Answers on AI Security, Prompt Injection, RAG Safety, Agent Governance, Evaluation, and Production-Ready AI Systems
Master the security, safety, and governance challenges of production-ready RAG and Agentic AI systems.
As organizations move from AI prototypes to enterprise-scale deployments, securing Retrieval-Augmented Generation (RAG) applications and autonomous AI agents has become a critical engineering priority.
RAG & Agentic AI Guardrails Interview Mastery — 2026 is a practical interview preparation guide featuring 220 technical, architectural, and scenario-based questions and answers designed for AI Engineers, GenAI Developers, AI Architects, AI Product Managers, and technical leaders.
Written by Dr. Sanjay Nakharu Prasad Kumar, this book bridges foundational AI security concepts with real-world implementation challenges, helping readers prepare for technical interviews while developing the knowledge needed to build reliable, secure, and governed AI systems.
What You'll Learn-
RAG Security & Guardrails: Secure retrieval pipelines, tenant isolation, document validation, source trust, and grounding.
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Prompt Injection Defense: Understand direct and indirect prompt injection, malicious retrieved content, and adversarial attack mitigation.
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AI Agent Security: Implement tool authorization, least-privilege access, action validation, human approvals, and execution boundaries.
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LLM Safety & Output Validation: Apply PII protection, structured output validation, hallucination detection, and citation verification.
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Agentic AI Reliability: Manage execution loops, token budgets, rate limits, timeouts, and failure handling.
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Evaluation & Red Teaming: Design adversarial tests, automated evaluation pipelines, and continuous security validation.
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Enterprise AI Governance: Explore auditability, monitoring, risk management, compliance considerations, and responsible AI practices.
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Production System Design: Prepare for architecture and troubleshooting questions involving secure, scalable RAG and agentic applications.
Unlike traditional interview guides focused primarily on theoretical concepts, this book emphasizes practical engineering decisions, system architecture, security trade-offs, and production scenarios.
Its 220 interview questions help readers explain not only what guardrails are, but also where to implement them, how to evaluate their effectiveness, and why they matter in enterprise environments.
Who Should Read This Book?Ideal for AI Engineers, LLM Engineers, GenAI Developers, Agentic AI Architects, Machine Learning Engineers, AI Product Managers, Security Engineers, and professionals preparing for senior technical interviews.
Build secure AI systems. Master production-grade guardrails. Prepare confidently for your next AI engineering interview.
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