200+ paid vulnerability findings across frontier AI models and major technology companies. Now that same offensive research is pointed at your chatbot, your LLM app, and your AI agents.
Findings were paid for by the companies and programs involved. As is standard in responsible disclosure, we don't name them or publish unfixed details.
The same techniques that earn payouts against frontier models, applied to the AI you actually deploy.
Direct and indirect injection through user input, documents, web pages, and emails that hijack your model's instructions.
Multi-turn, role-play, encoding, and translation attacks that get past your safety guardrails and content policies.
Leaking system prompts, hidden instructions, retrieval data, and other customers' information through the model.
Tricking autonomous agents into taking unauthorized actions, escalating privileges, or chaining tools in ways you never intended.
Confused-deputy, credential-theft, and protocol-level attacks against Model Context Protocol servers and tool integrations.
Poisoned documents and manipulated retrieval that quietly change what your assistant tells customers.
We agree on targets, rules of engagement, and what's off limits, in writing, before anything is tested.
Fingerprint the model, guardrails, tools, and data sources your AI can reach.
Hands-on adversarial testing across injection, jailbreak, extraction, and abuse paths.
Risk-rated findings, reproduction steps, and a prioritized fix list in plain English.
After you fix, we attack again to confirm the holes are actually closed.
Executive summary · risk-rated findings · step-by-step reproduction · prioritized remediation plan · one retest of the fixes included within 60 days.
Businesses running AI chatbots, teams shipping LLM features or agents, and anyone who has to show a customer, auditor, or insurer that their AI was tested.
Adversarial security testing of AI systems. A red team attacks your chatbot, LLM application, or AI agent the way a real attacker would, using prompt injection, jailbreaks, data extraction, and tool abuse, to find weaknesses before someone else does.
Yes. Our team has been paid for more than 200 vulnerability findings across frontier AI models and products from major technology companies. We don't name the companies or publish unfixed details, which is standard responsible-disclosure practice.
Customer-facing chatbots, LLM-powered applications, RAG and knowledge-base assistants, autonomous agents, and MCP or tool-calling integrations, whether built on a hosted frontier model or one you run yourself.
Every engagement is quoted by scope. Small-business assessments are priced well below enterprise red team firms, and veterans and first responders receive a discount.
A plain-English report with an executive summary, risk-rated findings, reproduction steps, and a prioritized remediation list, plus one retest of your fixes, included within 60 days of the report.
Testing runs under a written scope and rules of engagement that you approve first. We can test a staging copy, or limit production testing to agreed windows and non-destructive techniques.
Tell our AI what you're running and what worries you. We'll scope it and send a quote, with no pressure and no pitch.
Or email info@ghostveil.ai · See all GhostVeil services & pricing