Glossary

Tokenized Data

Tokenization entails the substitution of sensitive data with a non-sensitive equivalent, known as a token. This token then maps back to the original sensitive data through a tokenization system that makes tokens practically impossible to reverse without them. Many such systems leverage random numbers to produce secure tokens. Tokenization is often used to secure financial records, bank accounts, medical records and many other forms of personally identifiable information (PII).

Related Terms

Incident Response

Incident response (sometimes called data incident response) refers to an organization’s processes and technologies for detecting and responding to cyberthreats, security breaches or cyberattacks. A formal incident response plan enables cybersecurity teams to limit or prevent damage.Incident Response services are usually an addition to your organization’s Data Security Platform that manages any type of data through automated discovery, classification, risk assessment, and remediation capabilities.

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Sensitive Data Discovery and Classification

Sensitive data discovery and classification is a process used to identify and categorize sensitive or confidential information within an organization's digital assets.

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