Research
Lab research on AI application security: measured prompt injection success rates, with and without defenses, and the code to reproduce them.
Language models answer differently each time, so a single demo proves little. Our lab studies run each attack many times against a test application with mocked tools, report how often it worked, and compare defenses. The code, prompts and raw results are published so anyone can rerun them.
Case studies from authorized assessments of real AI systems appear only with the owner's written permission, and are labeled as case studies.
The first lab study is in progress. It will be listed here with its data and code.
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