What is the Gospel Data Platform?
The Gospel Data Platform is a highly secure graph database (built using Distributed Ledger technology) that has the unique capability of sharing sensitive data with users both within the organisation and with external partners, while retaining full control over the shared information.
The platform is available on Google Cloud Marketplace for an easy and quick deployment, known as Gospel Developer QuickStart (GDQ).Try it out now!
The Gospel Technology Platform makes it absolutely irrefutable which person made a specific change, something essential for us in terms of reducing disputes, saving enormous amounts of time and effort.
One platform to enable the best practice for secure data sharing.
What the platform does for your organisation
Share sensitive data with security and trust.
Control of who can access what, why and how.
Improve collaboration with a single source of truth.
Make better data-driven business decisions.
Security and trust
Our patent pending consensus mechanism ensures that any modification or access to your organisation’s sensitive data is verified and agreed by the network rules, thus creating a trusted, single version of truth for better collaboration and data-driven decisions.READ USE CASE
Data integrity and accountability
Transparency and accurate audit trails for regulatory compliance and disputes.
History of activities (including user reads, attempts intention and failed to access the information) is logged in an immutable and tamper-proof audit trail, thus giving full transparency to the lifecycle of the data.
An up-to-date copy of the ledger is distributed through your network and including the ‘right to be forgotten’ required by data regulations such as GDPR, using a patent pending key store methodology in which makes the data unreadable and unrecoverable.
A single version of the truth
One and most up-to-date version of the data is available. Which means, security.
Control and privacy
Delve deep down to individual records and limit access only to selective data by contextual control of those records.READ USE CASE