AI Red Teaming for
Production AI Systems.
Subject your production LLM, RAG application, autonomous agent, or MCP integration to controlled adversarial testing. We test the entire execution chain: prompts, retrieval, model inference, agent memory, tool calling, cloud permissions, and backend APIs.
"What can an adversary actually force this AI system to execute, disclose, or bypass?"
What We Test in an AI Red Team Engagement
Testing extends far beyond single prompt injection strings. We test the entire stateful chain of execution:
Direct and Indirect Prompt Injection (including multi-modal & token smuggling)
RAG & Vector Retrieval Attacks (Document poisoning, cross-tenant extraction)
Agent Goal Hijacking & Excessive Agency exploitation
Unchecked Tool Misuse & Parameter Injection (SQL, shell, API actions)
Model & System Prompt Extraction and memory state poisoning
Model Context Protocol (MCP) server trust & tool poisoning
Traditional AppSec & Cloud IAM Intersections (API tokens, SSRF, credential leak)
What You Receive
Every engagement produces definitive technical proof, executive context, and engineering remediation artifacts.
Engagement Details & Parameters
Related Technical Research
Explore research and reference labs connected to this security discipline:
Scope Your AI Security Engagement
Configure your production AI architecture to calculate recommended testing depth, duration, and Founding Deal pricing.