Prompt Injection Defense: Protect Your RAG and Tools from ... - Medium
...The Three Rules That Stop Most Attacks Treat retrieved text as untrusted. Your RAG context is data, not instructions. Separate instructions from content. Put policies in the system message. Put ......
https://medium.com/@deolesopan/prompt-injection-defense-protect-your-rag-and-tools-from-malicious-inputs-ae034f3c6650
RAG Security - OWASP Cheat Sheet Series
...Do Vet all third-party connectors and integrations feeding the ingestion pipeline. Review their security posture, data handling practices, and update cadence. Validate data from external APIs before ingestion. Do not trust that the API response is clean -- scan for injection patterns, verify document integrity, check content type....
https://cheatsheetseries.owasp.org/cheatsheets/RAG_Security_Cheat_Sheet.html
LLM Prompt Injection Prevention - OWASP Cheat Sheet Series
...LLM Prompt Injection Prevention Cheat Sheet Introduction Prompt injection is a vulnerability in Large Language Model (LLM) applications that allows attackers to manipulate the model's behavior by injecting malicious input that changes its intended output. Unlike traditional injection attacks, prompt injection exploits the common design of most LLMs where natural language instructions and data ......
https://cheatsheetseries.owasp.org/cheatsheets/LLM_Prompt_Injection_Prevention_Cheat_Sheet.html
Securing the RAG ingestion pipeline: Filtering mechanisms
...Retrieval-Augmented Generative (RAG) applications enhance the responses retrieved from large language models (LLMs) by integrating external data such as downloaded files, web scrapings, and user-contributed data pools. This integration improves the models? performance by adding relevant context to the prompt. While RAG applications are a powerful way to dynamically add additional context to ......
https://aws.amazon.com/blogs/security/securing-the-rag-ingestion-pipeline-filtering-mechanisms/
GitHub - taladari/rag-firewall: Client-side retrieval firewall for RAG ...
...Client-side retrieval firewall for RAG systems ? blocks prompt injection and secret leaks, re-ranks stale or untrusted content, and keeps all data inside your environment. - taladari/rag-firewall...
https://github.com/taladari/rag-firewall
Prevent Agent Data Breaches: Treat Retrieved Text as Untrusted Input
...What to do instead: ? Treat all retrieved text as untrusted input ? Force ?read? to output quotes + citations, not commands ? Put a policy gate before any tool call ? Human-confirm ......
https://www.linkedin.com/posts/abhijoy-sarkar_your-agent-doesnt-need-hacking-to-betray-activity-7413210371462864896-N8qS
RAG Security Fundamentals ? A Complete Walkthrough
...RAG systems often ingest data from shared drives, wikis, or automated feeds. If validation is weak, untrusted or malicious documents enter the knowledge base and become treated as trusted information....
https://medium.com/@0xuki/rag-security-fundamentals-a-complete-walkthrough-5137b0d22779
Securing RAG Pipelines Against Prompt Injection | Artinoid
...Learn how to secure RAG pipelines against prompt injection and data poisoning with a four-layer defense architecture built for production AI systems....
https://artinoid.com/blog/rag-pipeline-security
Securing RAG: A Risk Assessment and Mitigation Framework
...This paper first reviews the vulnerabilities of RAG pipelines, and outlines the attack surface from data pre-processing and data storage management to integration with LLMs. The identified risks are then paired with corresponding mitigations in a structured overview....
https://arxiv.org/html/2505.08728v1
Securing your RAG application: A comprehensive guide
...A step-by-step tutorial on how to build a secure RAG application that is resilient against malicious threats, from best practices to pseudocode examples....
https://www.pluralsight.com/resources/blog/ai-and-data/how-to-secure-rag-applications-AI