Prompt Injection Testing
We attack your AI agents the way a real adversary would — prompt injection, jailbreaks, tool-access abuse and data exfiltration — and give you the findings, repros and fixes before someone else finds them.
- 01
Direct & indirect injection
Attempts to override instructions — through user input, and through poisoned documents, tools and retrieved content the agent trusts.
- 02
Jailbreaks & guardrail bypass
Probes that push the model past its safety and policy boundaries, mapped to the OWASP LLM Top 10.
- 03
Tool-access & data exfiltration
Tests that an injected instruction can't make an agent misuse a tool, leak secrets, or exfiltrate data it can reach.
- 04
Mapped to the OWASP LLM Top 10
Every probe is mapped to the OWASP LLM Top 10 — the public standard for large language model application risks — so findings speak a language your security team and auditors already recognise, from prompt injection (LLM01) to sensitive-information disclosure.
- 05
Threat model & scope
We start by mapping what the agent can actually reach — its tools, data sources and downstream actions — so testing targets real blast radius, not generic payloads.
- 06
Findings, fixes & regression tests
You get a severity-ranked report with reproduction steps and concrete fixes, plus regression tests wired into CI so a patched hole stays closed on the next change.
Prompt injection testing, answered
What is prompt injection testing?
Adversarial testing of an AI system against attacks that hijack its instructions — directly via input, or indirectly via content it retrieves — plus jailbreaks and tool abuse.
What do we get?
A findings report with severity, reproduction steps and concrete fixes, plus regression tests so a patched hole stays closed.
Does this apply to agents with tools and MCP?
Especially those. Tool-using and MCP agents have the largest blast radius, so we focus on what an injected instruction can actually reach.
How long does a prompt injection assessment take?
Most assessments run one to two weeks, depending on how many tools, data sources and entry points the agent exposes. We scope it after a short call.
Which agents and models can you test?
Any — agents on OpenAI, Anthropic, Azure AI or open models, with or without Model Context Protocol (MCP) tools. We test from the attacker's side, so the underlying framework doesn't limit coverage.
Do we own the findings and regression tests?
Yes. The findings report, reproduction steps and regression tests are yours, delivered in your repository so a fixed vulnerability stays fixed.
Ship the next release without holding your breath.
Tell us what you're building — or what's breaking. We reply within one business day with a concrete plan, not a sales deck.