CLARA has created an Information Security Policy to outline security measures to protect the information handled by the company.
System is designed to provide information using the Principle of Least Privilege, which limits the information access to only what is authorized and necessary to fulfill assigned job duties.
Employees receive Security Awareness Training to ensure they can protect DEIN networks and user data.
CLARA conducts regular risk assessments, involving the creation of a Threat Model, threat analysis, and adoption of countermeasures.
The CLARA platform utilizes Role-Based Access Control to limit the private information that any one user can access.
The CLARA platform practices data segregation between every customer account to ensure that no user data can be accessed by a different account.
The CLARA platform encrypts all data in transit to prevent interception of user data.
The Clara Systems are designed following industry best practices including OWASP.
The production systems are subjected to vulnerability assessment on a monthly basis.
The CLARA AI uses open source LLMs and is trained on publicly available datasets only. No user data submitted to the system is used for training purposes.
The CLARA AI requests and responses are structured so that no user information is saved by the AI between requests, ensuring that the AI cannot divulge job or candidate information outside of the user’s CLARA based company/organization.