Tools · Adversarial assessment
PROBE
PROBE is adversarial assessment research for AI systems, with a public workbench you can step through.
Research prototype. The demo uses fictional scenarios and fixed responses.
What it is
PROBE is adversarial assessment research for AI systems, with a public workbench you can step through.
The workbench walks through attack scenarios one step at a time: the input, the system’s response and the finding. Drafts stay in the page’s memory and are left out of exports.
Why it exists
Built to find out how your system behaves before someone else does.
The prepared assessment workflow has passed a code review. The report it is being built toward maps findings to the OWASP GenAI and Agentic Top 10.
Intended flow, not results
How it works
What the workbench steps through, and the report it is being built toward.
- Step 1
Scenario
A fictional attack scenario is selected.
- Step 2
Input
The input sent to the system under test.
- Step 3
Response
The system’s response. In the demo it is fixed.
- Step 4
Finding
The finding drawn from the response, with its evidence.
- Step 5
Report
Intended: a scored report designed for an outside reader to check. Not built yet.
In the public workbench, scenarios are fictional and responses are fixed.
Real pixels, dated
Inside PROBE

What you can check
A dash means not measured, not zero.
- Public workbench
- OpenFictional scenarios, fixed responses
- Live-assessment report
- —None yet
- Probe set and scoring method
- —Not published
What’s real, and what isn’t claimed
Real today
- The public workbench: example scenarios, responses and findings you can open and inspect.
Not claimed
- The demo does not score your system, run live AI or evaluate a prompt you type.
- A passed code review is not live-assessment acceptance. No live-assessment report, customer or date yet.
- The probe set and scoring method are not published.
Questions
What is the intended deliverable?
A scored report designed for an outside reader to check. The public workbench shows what example findings look like.
Is it available?
The demo is open to anyone. Live assessment is still in research; you can ask about its scope through Contact.
How does it relate to JCR?
They are related independent tools. PROBE looks at how an AI system behaves under adversarial input; JCR is a checkpoint, in active development, that allows or denies what an agent may do, or holds it for a person to approve, and records a receipt for each decision.
Other tools
JCR
Checkpoint and receipts for agent actions
Explore JCR BetaRADAR
AI platform changes, explained, with corrections
Explore RADAR Public alphaCCP Study Lab
Learn to investigate a security claim
Explore CCP Study LabDiscuss the evidence you need.
The same discipline behind these tools, applied to your systems.