It determines the location of sensitive data using context analysis and content awareness techniques. This allows for the classification of these data either at the endpoint or centrally.
It classifies enterprise data based on privacy considerations and applies policies regarding who can access the data and what can be done with it. This internal system structure eliminates the need for a separate product as it is provided within the system itself.
It enables the masking of sensitive content based on compliance with policies at the endpoint, ensuring that protected data remains confidential thanks to its integrated architecture. This user-centric approach supports business continuity.
The TRIAS DLP solution provides detailed reports and feedback mechanisms regarding policy violations and data usage. These reports and feedback help system administrators, security teams, and other relevant stakeholders to identify potential risks and breach incidents by providing insights into the data security status. Additionally, this information can be used to evaluate the effectiveness of policies and make necessary policy adjustments when needed. With reporting and feedback mechanisms in place, the company's data protection efforts can be managed in a more proactive and effective manner.