Expert investigation track

Keep the three VaultBot challenges. For each: state a hypothesis, run a benign control, change one input property, inspect the observed outcome, then propose a defence and a counterexample. Missions 2 and 3 include a session notebook and JSON evidence export; use the worksheet for Mission 1.

All outcomes come from deterministic rules, not model inference. Treat them as observations about this simulator. A proposed defence has not been validated until tested separately.

Download participant worksheet
CONFERENCE EDITIONINTERACTIVE AI SECURITY LAB

Prompt Injection Lab

A hands-on educational environment for experiencing prompt injection, instruction manipulation, encoded instructions, and string reconstruction through controlled local simulations.

Offline ReadyNo API RequiredSynthetic Data OnlyEducational Simulation
Start Conference Lab →

01 · EXPERIENCE

Interact with VaultBot and try to expose its synthetic canary using your own wording.

02 · UNDERSTAND

Review the prompt analysis after every turn to understand which attack concepts were detected.

03 · DEFEND

Continue through the missions, then open the Defense Lab to compare mitigation strategies.

TRAINING MISSIONS

Conference Learning Path

ADVANCED PRACTICE

Prompt Injection Defense Lab

After experiencing the attacks, compare defense strategies and inspect a labeled evaluation suite. This section is intentionally separate from the beginner challenge.

Open Defense Lab →

RECOMMENDED ORDER

Secret Challenge→Instruction Override→Indirect Injection→Defense Lab

EDUCATIONAL NOTICE

These exercises are deterministic educational simulations. They do not call a production language model, do not use real credentials or sensitive data, and should not be interpreted as measurements of production-model security.

AI Security Lab • Prompt Injection Conference Edition

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