Secure the surface
scanners do not understand.
LLMs, guardrails, and agent orchestration are a live attack surface that traditional tools cannot read. SpartanX attacks them with prompt injection, guardrail bypass, agent manipulation, and data exfiltration, and proves each one.
Your AI stack is an attack surface your scanners cannot read
LLMs, guardrails, and agent orchestration behave nothing like the apps your existing tools understand. A model can be coaxed past its guardrails, an agent can be manipulated into taking actions it should refuse, and sensitive data can be exfiltrated through a prompt. None of this shows up in a traditional scan.
SpartanX attacks AI systems as part of one connected surface. A prompt injection that manipulates an agent can reach the credentials and tools behind it, then chain into cloud, identity, and internal systems. The adversary proves how an AI weakness becomes a path through the rest of your environment, not an isolated model quirk.
How it works
Map the AI surface
SpartanX models your LLMs, guardrails, and agent orchestration, including the tools and data they can reach, in the environment graph (OKEG).
Attack the model and the agent
The adversary runs prompt injection, guardrail bypass, agent manipulation, and data exfiltration against your AI systems.
Chain through the tools
An exploited agent becomes a pivot. SpartanX follows the credentials and permissions it holds into cloud, identity, and internal paths.
Prove and rank
Each AI finding ships with a working exploit and a PESS score by business impact, so you see real consequence, not a theoretical risk.
What you get
AI risk you can act on
Exfiltration paths exposed
One connected view
Stop guessing whether your LLMs and AI agents can be manipulated into reaching the systems behind them.
Attack your AI before they do
Run a scoped campaign against your LLMs and agents and see what holds.