Category: RAG Security
-

73% of Enterprise RAG Fails Audit: NIST’s 4-Step Fix
The morning dump from a Fortune 500 security scan lands in a CISO’s inbox. Red rows stretch screen after screen: payload injection into vector search, illegal memory access from a co-pilot plug-in, retrieval-augmented generation pipelines spilling PII like a cracked fire hydrant. The team thought RAG was firewalled behind model serving, but the attack didn’t…
-

OWASP LLM Top 10 Adds 3 RAG Threats: 89% of Orgs Exposed
When a Fortune 500 healthcare provider’s retrieval-augmented chatbot started injecting fake drug dosing data into clinical responses last month, patient safety alarms went off. It wasn’t a model hallucination. An attacker had poisoned the vector database with adversarial passages. The incident triggered an SEC investigation and a quiet scramble across enterprise security teams. The root…
-

9 Context Poisoning Attacks That Are Breaching Enterprise RAG Defenses
Imagine deploying a retrieval-augmented generation system that performs flawlessly during eight months of rigorous testing. Your legal team signs off, IT security clears the integration, and the system goes live across three departments. Then one Tuesday morning, your CFO asks the internal chatbot about Q3 revenue projections. Instead of retrieving the verified financial report, the…
-

5 RAG Security Threats in OWASP’s LLM Top 10
It was a Tuesday morning when a Fortune 500 energy company found out their internal knowledge assistant had been feeding executives fabricated safety protocols. The culprit wasn’t a hallucination. An attacker had slipped malicious documents into the retrieval pipeline, bypassing all the existing LLM guardrails. The incident sent shockwaves through the AI security community and…
-

Is Your RAG System a Security Risk? What Recent Research Means for You
Introduction: The Double-Edged Sword of RAG Innovation Retrieval Augmented Generation (RAG) is rapidly transforming the enterprise AI landscape. We’re no longer just talking about Large Language Models (LLMs) that can write poetry or summarize articles; we’re deploying sophisticated systems that tap into vast private knowledge bases, providing nuanced, context-aware answers that drive real business value.…
