Ethernity Chain integrates AI and digital rights management (DRM) into its blockchain to boost security and ensure the authenticity of digital assets, specifically NFTs. These technologies help solve challenges in the entertainment industry, especially when it comes to protecting intellectual property and preventing counterfeit asset transactions.
Ethernity Chain enhances the security and verification process of digital assets on its Layer 2 blockchain using AI. During the deployment of smart contracts, the AI engine scans the metadata of all digital assets, especially NFTs. The system compares each new asset with existing authenticated assets. If the AI detects that the metadata of a new asset is highly similar to a verified asset, it will flag the asset for review, thereby preventing potential counterfeit transactions.
This application of AI ensures the legality of transactions within the Ethernity ecosystem, providing a secure platform for entertainment brands, artists, and creators to protect their intellectual property from unauthorized copying or use. This focus on authenticity and security is particularly important for industries that rely on exclusive digital assets, such as music, sports, and film.
DRM is responsible for managing and safeguarding the lifecycle of digital assets. Ethernity Chain's DRM system is closely integrated with its AI capabilities to ensure that only legitimate digital assets can be created, distributed, and monetized on the platform. Through blockchain-based DRM, creators can maintain complete control over their assets, ensuring that ownership, usage, and distribution are tracked and verified.
For entertainment brands, it is very helpful to be able to monitor and enforce the use rights of digital assets. DRM systems support industries such as movies and music, enabling content creators to ensure that their works are not copied without permission and provide complete transparency for the use of their intellectual property.
Ethernity ChainofAIandDRM systemHas extensive practical applications in the ecosystem. For example:
Highlights
Ethernity Chain integrates AI and digital rights management (DRM) into its blockchain to boost security and ensure the authenticity of digital assets, specifically NFTs. These technologies help solve challenges in the entertainment industry, especially when it comes to protecting intellectual property and preventing counterfeit asset transactions.
Ethernity Chain enhances the security and verification process of digital assets on its Layer 2 blockchain using AI. During the deployment of smart contracts, the AI engine scans the metadata of all digital assets, especially NFTs. The system compares each new asset with existing authenticated assets. If the AI detects that the metadata of a new asset is highly similar to a verified asset, it will flag the asset for review, thereby preventing potential counterfeit transactions.
This application of AI ensures the legality of transactions within the Ethernity ecosystem, providing a secure platform for entertainment brands, artists, and creators to protect their intellectual property from unauthorized copying or use. This focus on authenticity and security is particularly important for industries that rely on exclusive digital assets, such as music, sports, and film.
DRM is responsible for managing and safeguarding the lifecycle of digital assets. Ethernity Chain's DRM system is closely integrated with its AI capabilities to ensure that only legitimate digital assets can be created, distributed, and monetized on the platform. Through blockchain-based DRM, creators can maintain complete control over their assets, ensuring that ownership, usage, and distribution are tracked and verified.
For entertainment brands, it is very helpful to be able to monitor and enforce the use rights of digital assets. DRM systems support industries such as movies and music, enabling content creators to ensure that their works are not copied without permission and provide complete transparency for the use of their intellectual property.
Ethernity ChainofAIandDRM systemHas extensive practical applications in the ecosystem. For example:
Highlights