How to Prevent Prompt Injection in RAG Pipelines
Prevent prompt injection in RAG with ingest-time scanning, query-time checks, retrieval boundaries, and defense-in-depth — without claiming complete elimination.
Blog / Prompt Injection
Prompt Injection
Guides on detecting, preventing, and testing prompt injection in LLM applications — direct and indirect attacks, RAG risks, and production defenses.
Prompt Injection Through MCP Tool Results
Indirect prompt injection through MCP tool results — why tool output is untrusted, and how to scan before it re-enters the agent context.
What Is Prompt Injection? A Developer's Guide
Prompt injection is when untrusted text manipulates an LLM into ignoring your instructions. Learn how it works, why it matters, and what developers should do about it.
How to Detect Prompt Injection in LLM Applications
Practical methods to detect prompt injection before it reaches your model — heuristics, structural analysis, classification, and API-based screening.
How to Prevent Prompt Injection in Production AI Apps
Architectural controls, input validation, retrieval hardening, and layered defenses to reduce prompt injection risk in production LLM applications.
Direct vs Indirect Prompt Injection: What's the Difference?
Direct injection targets the user prompt. Indirect injection hides instructions in retrieved content, documents, or web pages. Compare both attack paths and defenses.
Prompt Injection Examples Every AI Developer Should Recognize
Recognizable prompt injection patterns — instruction overrides, role manipulation, system prompt extraction, and hidden instructions in retrieved text.
Prompt Injection vs Jailbreak: Key Differences
Prompt injection and jailbreaking overlap but are not identical. Learn how they differ, where they intersect, and how to defend against both.
Indirect Prompt Injection in RAG Applications
RAG pipelines ingest untrusted documents and web content. Learn how indirect injection enters retrieval context and how to harden RAG applications.
System Prompt Extraction Attacks Explained
Attackers try to leak system prompts, hidden instructions, and tool definitions. Understand extraction techniques and how to reduce exposure.
Prompt Injection Through Web Pages: How Agent Browsing Gets Attacked
AI agents that browse the web can ingest malicious instructions embedded in page content. Learn how web-based indirect injection works and how to control agent actions.
Prompt Injection Through Documents and PDFs
Documents and PDFs can contain hidden instructions aimed at the model. Learn how document-based indirect injection works in ingestion and RAG pipelines.
Prompt Injection Testing: How to Test Your LLM Application
Build a practical prompt injection test plan — test cases, regression fixtures, CI integration, and red-team scenarios for LLM applications.
Why Keyword Filters Are Not Enough for Prompt Injection Detection
Keyword blocklists miss paraphrased attacks, encoded payloads, and indirect injection. Learn why layered detection beats simple filters.
Prompt Injection Security Checklist for Production LLM Apps
A production-ready checklist for prompt injection defenses — input screening, retrieval hardening, output handling, monitoring, and testing.