The practice of protecting digital information from unauthorised access, theft, or misuse. It involves implementing measures such as encryption, access controls, and data backups to ensure the confidentiality, integrity, and availability of data.
Data masking is the process of obscuring specific data within a database table or cell to ensure that data security is maintained.
DLP is a set of tools and processes used to ensure that sensitive data is not lost, misused, or accessed by unauthorized users.
Tokenization replaces sensitive data with unique identification symbols that retain all the essential information about the data without compromising its security.
Database security includes a wide range of security measures to protect databases against compromises of their confidentiality, integrity, and availability.
Data classification is the process of organizing data by relevant categories so that it may be used and protected more efficiently.
Protocols like FTPS, SFTP, or HTTPS provide secure data transfer over a network.
Also known as data clearing or data wiping, it is a software-based method of overwriting the data that completely destroys all electronic data residing on a hard drive or other digital media.
An identity security solution that helps protect organizations against cyberthreats by monitoring, detecting, and preventing unauthorized privileged access to critical resources.
IDS/IPS monitor network activities for malicious activities or policy violations and report these to an administrator.
IRM is a subset of digital rights management (DRM) that uses technology to protect sensitive information from unauthorized access. It includes techniques such as encryption, rights policies, and auditing to protect and control access to information.
CASBs sit between cloud service consumers and cloud service providers to enforce security, compliance, and governance policies for cloud applications. They help bridge the gap between on-premises IT architectures and cloud environments.