Data Protection Security

Data protection

In some cases some specific data needs to be hidden (protected) from direct access by the business logic, for example, personal data of customers. In such cases, such access to such data can be wrapped into a special software layer (which we call here a "middleware"), providing only part of the information which is essential for business logic models and hiding the rest of the protected data from direct access.

Archi does not have direct access to protected data, but over the layer of such "middleware".
In some cases some specific data needs to be hidden (protected) from direct access by the business logic, for example, personal data of customers. In such cases, such access to such data can be wrapped into a special software layer (which we call here a "middleware"), providing only part of the information which is essential for business logic models and hiding the rest of the protected data from direct access.

Archi does not have direct access to protected data, but over the layer of such "middleware".

Logic protection

Sometimes clients have two or more separated project teams working on different parts of business logic. To prevent one team from seeing the details of business logic developed by the other team, two different instances of Archi’s semantic engine can be deployed, where each of the teams shall be working with their own instance of Archi.
At the same time business logic models running on different instances can be integrated using API.

If the client needs to protect some business logic details, Archi allows to deploy semantic engine instances in a protected sub-network where protected business logic shall be deployed and executed.
Sometimes clients have two or more separated project teams working on different parts of business logic. To prevent one team from seeing the details of business logic developed by the other team, two different instances of Archi’s semantic engine can be deployed, where each of the teams shall be working with their own instance of Archi.
At the same time business logic models running on different instances can be integrated using API.

If the client needs to protect some business logic details, Archi allows to deploy semantic engine instances in a protected sub-network where protected business logic shall be deployed and executed.

Transport layer protection

Archi allows deployments with secure encrypted communication protocols for accessing business logic deployed on Archi’s semantic engine instances
Archi allows deployments with secure encrypted communication protocols for accessing business logic deployed on Archi’s semantic engine instances

Automated prevention of cybersecurity risks

Archi allows to implement the automated cybersecurity risks prevention business logic. Such risk prevention business logic models can be integrated with existing DLP, IDS and other cybersecurity platforms.
Archi allows to implement the automated cybersecurity risks prevention business logic. Such risk prevention business logic models can be integrated with existing DLP, IDS and other cybersecurity platforms.

Natural language processing data protection

It is important to protect the internal communication between employees and IT systems, especially when using natural language solutions. Traditional approach for implementing such user scenarios is using cloud-based NLP/NLU and ASR/TTS solutions provided by big guys like Google, Microsoft or Amazon. Such approach is very risky as it does not allow to prevent leaks of internal information to such 3rd parties
Archi’s NLP-NLU, ASR, and TTS subsystem (used by digital dialog assistant) are ready for on-premise deployments. No any access to the 3rd party cloud-based systems is required.
It is important to protect the internal communication between employees and IT systems, especially when using natural language solutions. Traditional approach for implementing such user scenarios is using cloud-based NLP/NLU and ASR/TTS solutions provided by big guys like Google, Microsoft or Amazon. Such approach is very risky as it does not allow to prevent leaks of internal information to such 3rd parties
Archi’s NLP-NLU, ASR, and TTS subsystem (used by digital dialog assistant) are ready for on-premise deployments. No any access to the 3rd party cloud-based systems is required.