Data Security and Recovery

Data security and recovery involves safeguarding data from unauthorized access, breaches, and ensuring the ability to restore data after loss or corruption, often through backup strategies and disaster recovery plans.

DLP refers to technologies and policies used to prevent the unauthorized transmission or leakage of sensitive data outside the organization, either accidentally or maliciously.

Data masking involves obfuscating sensitive data within databases, applications, or systems to protect it while ensuring it remains usable for testing or analysis purposes.

Data encryption is the process of converting data into a coded format to prevent unauthorized access. Only authorized users with the proper decryption key can access the original data.

Data backup and recovery involve regularly creating copies of data and ensuring it can be restored in case of data loss, corruption, or system failures.

Recovery from ransomware attacks focuses on strategies and tools that enable organizations to restore encrypted or compromised data, usually from secure backups, and recover normal operations after a ransomware attack.

Data center outages refer to disruptions in the availability of a data center's services. Recovery involves implementing redundancy, failover systems, and backup solutions to ensure minimal downtime.

Sensitive data encryption ensures that critical data, such as personally identifiable information (PII) or financial details, is encrypted both at rest and in transit to prevent unauthorized access.

Secure communication involves using encryption protocols like SSL/TLS to ensure that data transmitted over networks is secure from eavesdropping or tampering..

Data classification is the process of categorizing data based on its sensitivity and importance. This helps determine appropriate security measures and access controls to protect different types of data.