Offensive security for the AI systems you ship

Ghost is Prancer's offensive AI-attack line, applying the same proof-first doctrine to prompts, retrieval, agents and tools. The AI-system-attack engine behind Ghost is in development, not shipping — this is an early-access, design-partner offering.

The problem

Every organization is shipping AI features. Almost none can answer a simple question: can an attacker make our AI system do something it shouldn't? Traditional pentests don't cover the model layer. Guardrail vendors test their own products. The AI application — the prompt, the RAG retrieval, the agent's tools, the data it can reach — sits in a validation gap. Ghost is built for that gap.

What Ghost is being built to do

• Prompt and instruction attacks — direct and indirect prompt injection, jailbreak and guardrail-bypass testing, and system-prompt extraction.
• RAG and data-boundary attacks — retrieval poisoning, context-boundary violations, and exfiltration of data the model can reach but the user should never see.
• Agent and tool abuse — manipulating autonomous agents into unauthorized tool calls, testing the blast radius of an agent's permissions, and probing multi-step workflows for unsafe action chains.
• Model-surface exposure — training-data and system-prompt leakage, and abuse of model-connected integrations.

The Prancer difference applied to AI

Findings are graded for authenticity — Exploited means a real, reproduced attack, never a theoretical one. Every engagement runs inside a signed authorization envelope, on your infrastructure, with findings delivered to you. For pre-production AI behavioral certification and assurance, ask us about Gadriel — the two are designed to work together.

Get in early

We're onboarding a small group of design partners to shape Ghost against real AI systems in production. Early partners help define the capability set and get first access when the engine ships. Apply to be a Ghost design partner.