> For the complete documentation index, see [llms.txt](https://docs.bitgrit.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bitgrit.ai/resources/anti-exploit-measures.md).

# Anti-exploit measures

The following measures will ensure that bitgrit prevents exploits related to discretionary distribution of rewards: 

* Clear and Transparent Rules: Each competition’s guidelines will be published on bitgrit.net, detailing the judging criteria such as innovation, impact, and technical feasibility.
* Multi-layered Review Process: Entries are first screened by a technical team to ensure they meet basic requirements, then evaluated by an independent panel of industry experts.
* Anonymised Submissions: Participants submit their entries through a portal that assigns unique IDs and removes personal information before judging.
* Smart Contracts: A smart contract is set up to distribute prizes automatically once winners are verified.
* Anti-Fraud Measures: Implement email verification and use behaviour analysis tools to detect multiple submissions from the same participant.
* Whitelisting Judges: Competition judges are selected based on their expertise and are required to sign conflict-of-interest statements.