Companies process large amounts of sensitive data daily – from customer data and financial information to
confidential business secrets.
Data security solutions identify, classify, and protect this data regardless of where it is stored or processed. Techniques such as tokenization, encryption, and masking prevent unauthorized individuals from accessing plaintext data.

In addition, policies monitor who is allowed to view, modify, or export data.
Automated discovery mechanisms identify sensitive content in databases, files, and cloud storage
to minimize risks and meet compliance requirements.

This makes data protection and data security controllable, measurable components of the overall architecture.