← All Services
GenAI & RAG Security
Offensive audits and security verification for Retrieval-Augmented Generation (RAG) pipelines, LLM integration layers, and vector databases.
Retrieval-Augmented Generation (RAG) architectures bridge enterprise data repositories with large language models, creating critical new attack surfaces. Standard application security scanners cannot detect context poisoning, vector store isolation leaks, or multi-turn prompt injection vulnerabilities. We perform targeted, hands-on red teaming across your entire GenAI pipeline to ensure data boundaries hold, system prompts remain secure, and models operate strictly within intended parameters.
What We Test
- RAG Pipeline & Ingestion Security: Indirect prompt injection via poisoned documents (PDFs, docs, web scrapes), chunking manipulation, and embedding context hijacking.
- Vector Store & Data Isolation: Cross-tenant data leaks, vector database access control bypasses, metadata filtering flaws, and unauthorized document retrieval.
- Prompt Engineering & Guardrails: System prompt extraction, system prompt override/jailbreaking, moderation evasion, and safety guardrail bypasses.
- LLM Integration & Output Layer: Insecure output handling (XSS, SSRF, or SQLi via model-generated responses), context window exhaustion, and model denial-of-service.
Frameworks & Verification Standards
- OWASP Top 10 for LLM Applications: Direct benchmarking against Top 10 LLM vulnerability classes (LLM01 to LLM10).
- MITRE ATLAS: Threat mapping to Adversarial Threat Landscape for Artificial-Intelligence Systems.
- NIST AI RMF: Benchmarking against AI Risk Management Framework security requirements.
Deliverables
- Executive Summary & Risk Rating: Strategic risk overview tailored for CISO and engineering leadership.
- Technical Proof-of-Concept (PoC): Reproducible exploit payloads (poisoned files, prompt injections, vector queries).
- Remediation & Guardrail Architecture: Actionable guidance for system prompt hardening, context sanitization, and vector store security rules.