Doing more
with privacy
by design AI

The following use cases are just a few examples of how you can leverage enclave security to make privacy by design solutions.

Doing more
with privacy
by design AI

The following use cases are just a few examples of how you can leverage enclave security to make privacy by design solutions.

Doing more
with privacy
by design AI

The following use cases are just a few examples of how you can leverage enclave security to make privacy by design solutions.

Doing more
with privacy
by design AI

The following use cases are just a few examples of how you can leverage enclave security to make privacy by design solutions.

Zero trust diagnostic assistant for the hospital

Hospitals could benefit a lot from cloud-hosted AI solutions, yet they struggle to adopt those solutions due to privacy and security concerns. With Mithril Security, image recognition tools hosted in the cloud can be used without exposing hospital data to any third party.







Private speech to text

Speech-to-text tools AI have tremendous potential to drastically transcript any recording in less time and for less cost. These have a real impact on companies to analyze customer data, or even in healthcare to transcribe medical data. However, using Cloud hoster voice transcription comes with much larger data exposure. Recent data leakages showed privacy beach by AI voice assistant in the Cloud. With BlindAI, zero-trust speech-to-text tools can be easily deployed.

Reduce fraud with voice authentication

Voice authentication is a key to preventing identity fraud. Thanks to our solution you can now deploy an identity control solution based on deep learning while ensuring users' data are encrypted from end-to-end.









Protect the IP with model weights protection for on-prem deployment

If you are an AI provider, the IP of your model is your main asset. While security and privacy requirements can be answered more easily by deploying on-prem, the AI model can easily be stolen once deployed on the client's machines. With BlindAI, deploy your AI model while remaining in full control of the model IP.







Multi-party private AI training

Accessing sensitive data split over several stakeholders requires a complex and lengthy process. With our soon-to-come zero trust AI training solution, BastionAI, you will be able to train on several confidential datasets owned by different stakeholders without exposing or accessing data in clear.








Maximal privacy protection

By using secure enclaves, data manipulated in the Cloud remains end-to-end encrypted without exposing the decryption keys to third parties.

State-of-the-art encryption shields users even in case of data leaks. If only encrypted data is leaked and the decryption key is not compromised, privacy exposure can be kept minimal. Notification to the Supervisory Authority or data subjects might not be necessary, which will shield the company's image.

In addition, financial sanctions can be avoided if state-of-the-art encryption was used.

Zero trust diagnostic assistant for the hospital

Hospitals could benefit a lot from cloud-hosted AI solutions, yet they struggle to adopt those solutions due to privacy and security concerns. With Mithril Security, image recognition tools hosted in the cloud can be used without exposing hospital data to any third party.







Private speech to text

Speech-to-text tools AI have tremendous potential to drastically transcript any recording in less time and for less cost. These have a real impact on companies to analyze customer data, or even in healthcare to transcribe medical data. However, using Cloud hoster voice transcription comes with much larger data exposure. Recent data leakages showed privacy beach by AI voice assistant in the Cloud. With BlindAI, zero-trust speech-to-text tools can be easily deployed.

Reduce fraud with voice authentication

Voice authentication is a key to preventing identity fraud. Thanks to our solution you can now deploy an identity control solution based on deep learning while ensuring users' data are encrypted from end-to-end.









Protect the IP with model weights protection for on-prem deployment

If you are an AI provider, the IP of your model is your main asset. While security and privacy requirements can be answered more easily by deploying on-prem, the AI model can easily be stolen once deployed on the client's machines. With BlindAI, deploy your AI model while remaining in full control of the model IP.







Multi-party private AI training

Accessing sensitive data split over several stakeholders requires a complex and lengthy process. With our soon-to-come zero trust AI training solution, BastionAI, you will be able to train on several confidential datasets owned by different stakeholders without exposing or accessing data in clear.








Maximal privacy protection

By using secure enclaves, data manipulated in the Cloud remains end-to-end encrypted without exposing the decryption keys to third parties.

State-of-the-art encryption shields users even in case of data leaks. If only encrypted data is leaked and the decryption key is not compromised, privacy exposure can be kept minimal. Notification to the Supervisory Authority or data subjects might not be necessary, which will shield the company's image.

In addition, financial sanctions can be avoided if state-of-the-art encryption was used.

Join the
community

Join a fast-growing community of developers and

innovators connected all over the world, building

the new era of the internet.

Contribute to our project, and mention open

issues and PRs.

GitHub
Start contributing

Join the community, share your ideas and

talk with Mithril’s team.

Discord
Join the discussion
Open the roadmap

Follow and contribute to our upcoming

projects.

Roadmap
Join the
community

Join a fast-growing community of developers and

innovators connected all over the world, building

the new era of the internet.

Contribute to our project, and mention open

issues and PRs.

GitHub
Start contributing

Join the community, share your ideas and

talk with Mithril’s team.

Discord
Join the discussion
Open the roadmap

Follow and contribute to our upcoming

projects.

Roadmap
Join the
community

Join a fast-growing community of developers and

innovators connected all over the world, building

the new era of the internet.

Contribute to our project, and mention open

issues and PRs.

GitHub
Start contributing

Join the community, share your ideas and

talk with Mithril’s team.

Discord
Join the discussion
Open the roadmap

Follow and contribute to our upcoming

projects.

Roadmap
Join the
community

Join a fast-growing community of developers and

innovators connected all over the world, building

the new era of the internet.

Contribute to our project, and mention open

issues and PRs.

GitHub
Start contributing

Join the community, share your ideas and

talk with Mithril’s team.

Discord
Join the discussion
Open the roadmap

Follow and contribute to our upcoming

projects.

Roadmap

Doing more with privacy by design AI

The following use cases are just a few examples of how you can leverage enclave security to make privacy by design solutions.

Zero trust diagnostic assistant for the hospital

Hospitals could benefit a lot from cloud-hosted AI solutions, yet they struggle to adopt those solutions due to privacy and security concerns. With Mithril Security, image recognition tools hosted in the cloud can be used without exposing hospital data in clear to any third party.

Private speech to text

Speech-to-text tools AI have tremendous potential to drastically transcript any recording in less time and for less cost. These have a real impact on companies to analyze customer data, or even in healthcare to transcribe medical data. However, using Cloud hoster voice transcription comes with much larger data exposure. Recent data leakages showed privacy beach by AI voice assistant in the Cloud. With BlindAI, zero-trust speech-to-text tools can be easily deployed.

Reduce fraud with voice authentication

Voice authentication is a key to preventing identity fraud. Thanks to our solution you can now deploy an identity control solution based on deep learning while ensuring users' data are encrypted from end-to-end.

Protect the IP with model weights protection for on-prem deployment

If you are an AI provider, the IP of your model is your main asset. While security and privacy requirements can be answered more easily by deploying on-prem, the AI model can easily be stolen once deployed on the client's machines. With BlindAI, deploy your AI model while remaining in full control of the model IP.

Multi-party private AI training

Accessing sensitive data split over several stakeholders requires a complex and lengthy process. With our soon-to-come zero trust AI training solution, BastionAI, you will be able to train on several confidential datasets owned by different stakeholders without exposing or accessing data in clear.

Maximal privacy protection

By using secure enclaves, data manipulated in the Cloud remains end-to-end encrypted without exposing the decryption keys to third parties.

State-of-the-art encryption shields users even in case of data leaks. If only encrypted data is leaked and the decryption key is not compromised, privacy exposure can be kept minimal. Notification to the Supervisory Authority or data subjects might not be necessary, which will shield the company's image.

In addition, financial sanctions can be avoided if state-of-the-art encryption was used.

Join a fast-growing community of developers and innovators

connected all over the world, building the new era of the internet.

Join the

community

Contribute to our project, and mention open

issues and PRs.

GitHub

Join the community, share your ideas and

talk with Mithril’s team.

Discord

Follow and contribute to our upcoming

projects.

Roadmap
Open the roadmap

Doing more
with privacy
by design AI

The following use cases are just a few examples of how you can leverage enclave security to make privacy by design solutions.

Zero trust diagnostic assistant for the hospital

Hospitals could benefit a lot from cloud-hosted AI solutions, yet they struggle to adopt those solutions due to privacy and security concerns. With Mithril Security, image recognition tools hosted in the cloud can be used without exposing hospital data in clear to any third party.

Private speech to text

Speech-to-text tools AI have tremendous potential to drastically transcript any recording in less time and for less cost. These have a real impact on companies to analyze customer data, or even in healthcare to transcribe medical data. However, using Cloud hoster voice transcription comes with much larger data exposure. Recent data leakages showed privacy beach by AI voice assistant in the Cloud. With BlindAI, zero-trust speech-to-text tools can be easily deployed.

Reduce fraud with voice authentication

Voice authentication is a key to preventing identity fraud. Thanks to our solution you can now deploy an identity control solution based on deep learning while ensuring users' data are encrypted from end-to-end.

Protect the IP with model weights protection for on-prem deployment

If you are an AI provider, the IP of your model is your main asset. While security and privacy requirements can be answered more easily by deploying on-prem, the AI model can easily be stolen once deployed on the client's machines. With BlindAI, deploy your AI model while remaining in full control of the model IP.

Multi-party private AI training

Accessing sensitive data split over several stakeholders requires a complex and lengthy process. With our soon-to-come zero trust AI training solution, BastionAI, you will be able to train on several confidential datasets owned by different stakeholders without exposing or accessing data in clear.

Maximal privacy protection

By using secure enclaves, data manipulated in the Cloud remains end-to-end encrypted without exposing the decryption keys to third parties.

State-of-the-art encryption shields users even in case of data leaks. If only encrypted data is leaked and the decryption key is not compromised, privacy exposure can be kept minimal. Notification to the Supervisory Authority or data subjects might not be necessary, which will shield the company's image.

In addition, financial sanctions can be avoided if state-of-the-art encryption was used.

Join a fast-growing community of developers and innovators

connected all over the world, building the new era of the internet.

Join the
community

Contribute to our project,

and mention open issues and PRs.

GitHub

Join the community, share your

ideas and talk with Mithril’s team.

Discord
Join the discussion

Follow and contribute to our

upcoming projects.

Roadmap
Open the roadmap

Doing more with privacy by design AI

The following use cases are just a few examples of how you can leverage enclave security to make privacy by design solutions.

Zero trust diagnostic assistant for the hospital

Hospitals could benefit a lot from cloud-hosted AI solutions, yet they struggle to adopt those solutions due to privacy and security concerns. With Mithril Security, image recognition tools hosted in the cloud can be used without exposing hospital data in clear to any third party.

Private speech to text

Speech-to-text tools AI have tremendous potential to drastically transcript any recording in less time and for less cost. These have a real impact on companies to analyze customer data, or even in healthcare to transcribe medical data. However, using Cloud hoster voice transcription comes with much larger data exposure. Recent data leakages showed privacy beach by AI voice assistant in the Cloud. With BlindAI, zero-trust speech-to-text tools can be easily deployed.

Reduce fraud with voice authentication

Voice authentication is a key to preventing identity fraud. Thanks to our solution you can now deploy an identity control solution based on deep learning while ensuring users' data are encrypted from end-to-end.

Protect the IP with model weights protection for on-prem deployment

If you are an AI provider, the IP of your model is your main asset. While security and privacy requirements can be answered more easily by deploying on-prem, the AI model can easily be stolen once deployed on the client's machines. With BlindAI, deploy your AI model while remaining in full control of the model IP.

Multi-party private AI training

Accessing sensitive data split over several stakeholders requires a complex and lengthy process. With our soon-to-come zero trust AI training solution, BastionAI, you will be able to train on several confidential datasets owned by different stakeholders without exposing or accessing data in clear.

Maximal privacy protection

By using secure enclaves, data manipulated in the Cloud remains end-to-end encrypted without exposing the decryption keys to third parties.

State-of-the-art encryption shields users even in case of data leaks. If only encrypted data is leaked and the decryption key is not compromised, privacy exposure can be kept minimal. Notification to the Supervisory Authority or data subjects might not be necessary, which will shield the company's image.

In addition, financial sanctions can be avoided if state-of-the-art encryption was used.

Join a fast-growing community of developers and innovators

connected all over the world, building the new era of the internet.

Join the

community

Contribute to our project, and mention open

issues and PRs.

GitHub

Join the community, share your ideas and

talk with Mithril’s team.

Discord

Follow and contribute to our upcoming

projects.

Roadmap
Open the roadmap

Doing more with privacy by design AI

The following use cases are just a few examples of how you can leverage enclave security to make privacy by design solutions.

Zero trust diagnostic assistant for the hospital

Hospitals could benefit a lot from cloud-hosted AI solutions, yet they struggle to adopt those solutions due to privacy and security concerns. With Mithril Security, image recognition tools hosted in the cloud can be used without exposing hospital data in clear to any third party.

Private speech to text

Speech-to-text tools AI have tremendous potential to drastically transcript any recording in less time and for less cost. These have a real impact on companies to analyze customer data, or even in healthcare to transcribe medical data. However, using Cloud hoster voice transcription comes with much larger data exposure. Recent data leakages showed privacy beach by AI voice assistant in the Cloud. With BlindAI, zero-trust speech-to-text tools can be easily deployed.

Reduce fraud with voice authentication

Voice authentication is a key to preventing identity fraud. Thanks to our solution you can now deploy an identity control solution based on deep learning while ensuring users' data are encrypted from end-to-end.

Protect the IP with model weights protection for on-prem deployment

If you are an AI provider, the IP of your model is your main asset. While security and privacy requirements can be answered more easily by deploying on-prem, the AI model can easily be stolen once deployed on the client's machines. With BlindAI, deploy your AI model while remaining in full control of the model IP.

Multi-party private AI training

Accessing sensitive data split over several stakeholders requires a complex and lengthy process. With our soon-to-come zero trust AI training solution, BastionAI, you will be able to train on several confidential datasets owned by different stakeholders without exposing or accessing data in clear.

Maximal privacy protection

By using secure enclaves, data manipulated in the Cloud remains end-to-end encrypted without exposing the decryption keys to third parties.

State-of-the-art encryption shields users even in case of data leaks. If only encrypted data is leaked and the decryption key is not compromised, privacy exposure can be kept minimal. Notification to the Supervisory Authority or data subjects might not be necessary, which will shield the company's image.

In addition, financial sanctions can be avoided if state-of-the-art encryption was used.

Join a fast-growing community of developers and innovators connected all over

the world, building the new era of the internet.

Join the community

Contribute to our project, and mention open

issues and PRs.

GitHub

Join the community, share your ideas and

talk with Mithril’s team.

Discord

Follow and contribute to our upcoming

projects.

Roadmap
Open the roadmap

Doing more with privacy by design AI

The following use cases are just a few examples of how you can leverage enclave security to make privacy by design solutions.

Zero trust diagnostic assistant for the hospital

Hospitals could benefit a lot from cloud-hosted AI solutions, yet they struggle to adopt those solutions due to privacy and security concerns. With Mithril Security, image recognition tools hosted in the cloud can be used without exposing hospital data in clear to any third party.

Private speech to text

Speech-to-text tools AI have tremendous potential to drastically transcript any recording in less time and for less cost. These have a real impact on companies to analyze customer data, or even in healthcare to transcribe medical data. However, using Cloud hoster voice transcription comes with much larger data exposure. Recent data leakages showed privacy beach by AI voice assistant in the Cloud. With BlindAI, zero-trust speech-to-text tools can be easily deployed.

Reduce fraud with voice authentication

Voice authentication is a key to preventing identity fraud. Thanks to our solution you can now deploy an identity control solution based on deep learning while ensuring users' data are encrypted from end-to-end.

Protect the IP with model weights protection for on-prem deployment

If you are an AI provider, the IP of your model is your main asset. While security and privacy requirements can be answered more easily by deploying on-prem, the AI model can easily be stolen once deployed on the client's machines. With BlindAI, deploy your AI model while remaining in full control of the model IP.

Multi-party private AI training

Accessing sensitive data split over several stakeholders requires a complex and lengthy process. With our soon-to-come zero trust AI training solution, BastionAI, you will be able to train on several confidential datasets owned by different stakeholders without exposing or accessing data in clear.

Maximal privacy protection

By using secure enclaves, data manipulated in the Cloud remains end-to-end encrypted without exposing the decryption keys to third parties.

State-of-the-art encryption shields users even in case of data leaks. If only encrypted data is leaked and the decryption key is not compromised, privacy exposure can be kept minimal. Notification to the Supervisory Authority or data subjects might not be necessary, which will shield the company's image.

In addition, financial sanctions can be avoided if state-of-the-art encryption was used.

Join a fast-growing community of developers and innovators

connected all over the world, building the new era of the internet.

Join the community

Contribute to our project, and mention open

issues and PRs.

GitHub

Join the community, share your ideas and

talk with Mithril’s team.

Discord

Follow and contribute to our upcoming

projects.

Roadmap
Open the roadmap