AI security research
AI security research, shipped as products
We research AI attack surfaces in the open and turn the findings into the Agent Security API — stopping injection, privilege abuse and leaks before each agent step.
Focus
Where we look
- 01Agents & tool use
- How an agent is steered into calls its user never asked for.
- 02Prompt injection
- Instructions hidden in the content a model is asked to read.
- 03Multimodal
- Attacks carried in images, audio and documents.
- 04Embodied AI
- What changes when the model can move things in the world.
From research
Principles
How we do research
- Responsible disclosure
- Affected vendors hear first; details go public once a fix ships. Disclosure policy →
- Reproducible
- Every study ships with its reproduction steps and test conditions.
- Verifiable evidence
- Key findings carry hashes and the original evidence, so readers can check them.
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