Break any AI system before an attacker does
Your assessment lands when every test proves a real control gap. 150 modular attack plays turn a folder of jailbreaks into a defensible engagement. These cards show you how.
Same rigor practiced by teams securing frontier AI
Organizations represented among contributors to and users of the open AI Red Teaming Guide. No sponsorship or endorsement implied.
Grounded in the open AI Red Teaming Guide
You collect jailbreaks for inspiration — yet the report still feels thin.
Prompts in a spreadsheet don't prove impact. You need coverage tied to the system's real architecture, evidence that reproduces, and findings an executive can act on. That's the difference between "we tried some attacks" and a defensible assessment.
Each card shows you how to break one part of an AI system
Grouped into stacks by attack surface — each play maps to a real control, with expected safe behavior and the evidence you need to capture.
Good tests find bugs. The best find the ones that end the engagement.
Turn plays into findings that hold up in the room
Attack play library
Every play maps to a control, with safe behavior and evidence defined — with 20 interactive starter plays that run in the hosted dashboard.
Editable templates
RoE, intake, threat model, finding report, executive readout, release gates.
Live risk tracker
Score findings across 16 modules and watch severity classify automatically.
Worked example
A completed fictional assessment showing how every asset fits together.
Every card is built to be executed, not just read.
Five fields on every play tell you exactly what to run, why it matters, and what proves it — so you spend time testing, not deciding what to test.
From a pile of prompts to a program
Without the kit
With the kit
Six stacks. Seven stages. One system.
Not a linear PDF — a working deck to shuffle, combine, and remix around your target.
The unfair advantage, in their words
I pull this out at the start of every engagement. It helped me think beyond prompts — and charge more for the work.
The way the plays link to controls is my favourite part. I started spotting coverage gaps in our copilot immediately.
Refreshing to use a resource that's actually practical and not full of nothing. Experienced-level depth.
We ran our first governed LLM assessment in a week instead of a quarter. It's an operating system, not a checklist.
Most resources are written around tooling. This one ties tests to evidence and controls — what I need to sell findings upward.
Easy to skim, but a surprising amount of depth once you connect the plays into a full attack tree.
Choose your level of access
Dashboard access plus the full downloadable files. Twelve months of updates included.
Questions?
Ship assessments teams trust
150 plays, 12 templates, a live risk tracker, and a worked example — delivered through the hosted dashboard, yours to keep.