Data protection involves, first of all, understanding what the most valuable data for the specific company is. Since compromising this data can lead to financial or reputational damage and regulatory fines, controlling and checking for the legitimacy of its access permissions, location, and usage is crucial.
Our specialists will remediate the identified gaps with minimum impact on day-to-day routine.

Sensitive data discovery identifies the most sensitive data for the specific company. The challenges of this process are usually the speed, accuracy, ability to re-scan just the modified data (incremental scanning), and ability to label, tag, or mark the classified data if needed.

Compliance refers to adhering to established regulations and standards to ensure that an organization's security practices and data handling meet legal requirements and industry best practices.

The proactive process of identifying security breaches, issuing alerts, and swiftly reacting to mitigate or contain threats, safeguarding systems and data from cyberattacks.

Monitoring and analyzing digital behaviors to detect unusual or malicious activities, issuing alerts, and responding swiftly to mitigate threats, enhancing overall security.

A best-practice approach for securing critical data in SaaS/IaaS applications, each having its own access, user management and possible misconfiguration permissions.