T
Thomas
Currently, all users in Lerno have access to view and manage conversations, accounts, and opportunities across the entire organization. However, this poses a significant security and privacy concern, especially for companies dealing with sensitive data or client information.
To address this issue, it would require the implementation of data segmentation and access control features in Lerno. This would allow organizations to:
  • Segment data into separate workspaces, accounts, or projects, ensuring that users only have access to the data relevant to their roles or assignments.
  • Implement granular access controls, enabling administrators to grant or revoke access to specific conversations, accounts, or opportunities for individual users or user groups.
  • Ensure data privacy and security by restricting access to sensitive information only to authorized personnel.
  • Prevent data leakage or unauthorized access when employees leave the organization, as their access can be revoked without compromising the entire dataset.
By introducing these features, Lerno would align with industry best practices and meet the data security and privacy requirements of businesses across various sectors. This enhancement would significantly improve the platform's appeal and suitability for organizations handling confidential or proprietary information.