Tensor Trust offers an interactive game about testing AI security and model robustness.
Tensor Trust
Play Tensor Trust to explore prompt injection attacks and defenses through interactive challenges.

About Tensor Trust
Tensor Trust is a web-based game about prompt injection attacks and defenses in large language models. Players attempt to fool language models to place on a leaderboard, and gameplay submissions are used as crowdsourced data for research on model vulnerabilities.
Creating an account gives consent for research use of data. The project plans to publicly release submitted text with timestamps and identifiers that group submissions by user, so users are asked not to submit personal or private information. The site also stores browser and connection metadata, such as IP address and browser version, for bug fixes and abuse prevention, and service providers including Cloudflare, OpenAI, and Google may collect information under their own policies.
Key features
- Play interactive challenges focused on prompt injection attacks and defenses
- Attempt to fool language models to move up leaderboard
- Contribute game submissions for research on model vulnerabilities
- Hands-on challenges cover both attack and defense sides of prompt injection
- Gameplay data is used to study vulnerabilities and improve AI reliability
- All submitted text, timestamps, and grouped user identifiers are planned for public release
- Creating an account requires consent for research use of submitted data
- Rules prohibit personal information, violating content, and use of bots
Tensor Trust at a glance
- Website
- tensortrust.ai
- Category
- AI & Machine Learning › AI Learning & Guides
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Good for
- Researchers
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Tensor Trust FAQ
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What data is stored but not publicly released?
What rules do players need to follow?
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