RAG Pipelines

RAG (Retrieval-Augmented Generation) pipelines combine information retrieval with generative AI models to fetch relevant documents or data before generating responses, reducing hallucinations and improving factual accuracy. In enterprise governance, RAG systems present distinct compliance challenges around data source verification, access control, and audit trails since they interact with multiple knowledge bases and databases. Organizations must monitor the quality and provenance of retrieved information to ensure generated outputs remain trustworthy and compliant with regulatory requirements across industries.

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ResearchGlobal2026-09-01

CSA/OWASP Agentic AI Maturity Model Exposes Systemic Prompt Injection Risk

Cloud Security Alliance Labs has published a CISO-focused maturity guide analyzing the OWASP Agentic AI governance model. The guide identifies prompt injection as a central and systemic failure mode across agentic AI deployments, arising because current models cannot reliably separate system instructions, user input, and retrieved content. It calls for stronger input sanitization, enforced privilege boundaries, and rigorous testing of retrieval-to-execution pathways.

OWASP Cloud Security Alliance prompt injection agentic AI least privilege governance maturity RAG pipelines agent security