Levercode assists governments and businesses in implementing digital transformations and it was recently present at the AIBC Summit 2022 Event, which was held in Dubai. The event is considered one of the most prominent and influential events to be held in the field of crypto and blockchain. Here is a list that will help you understand how Levercode helps governments and organizations.
- Offering digital signatures as well as identification
- Developing low-risk, proof-based, and dependable data governance systems
- enabling IT systems and registries to interact with one another
- Using Proof Technologies, such as Blockchain or even other Distributed Ledger Technologies, to convert trust-based solutions into proof-based platforms.
- ensuring that data systems are compliant with the regulatory environment (eg. GDPR, AML)
- Identifying the current IT system’s as well as infrastructure’s attack vector
A Digital Identity as well as a Signature Platform with Post-Quantum Capabilities
LeverID is the “future delivered today” in highly secured authentication but also signing, with its patent-pending technology setting a new industry standard. It is a mobile-first solution.
Users can easily authenticate as well as digitally sign requests while on the move thanks to a mobile-first approach.
The extensive data system designing, building, and validation process that Levercode offers to Businesses and governments that procedure (collect, own, analyze, share, and govern) large volumes of data is known as Data Blueprint. Discovery, Technical Roadmap, as well as Validation, are the three phases of the Data Blueprint Notion as a whole.
In theory, the Blueprint is created at the proposal of the scheme or process owner, so it addresses the issue or difficulty that they have recognized. As there are generally no easy solutions for problems without first understanding the source and details of the problem, Levercode conducts a thorough analysis of the data governance and operational processes, identifying the data system’s weaknesses, bottlenecks, as well as errors.
The result is development and success in achieving a low-risk, dependable, and long-term system.
