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CRDP RESTful API supports tokenization, encryption and data generalization so that organizations can optimize data protection for each piece of data to decrease the risk of sensitive data being leaked. CRDP RESTful API supports format preservation to fit each organization’s current schema so that organizations don’t have to make changes in their environment.
CRDP RESTful API supports Data Masking and Redaction to reveal sensitive data on a need-to-know basis.
Audits become accurate, significantly faster and complete due to visibility of all policies on a single pane of glass showing where Connectors are deployed and the corresponding version numbers.
CipherTrust Manager provides a centralized view of every crypto agile Connector’s status—whether operational, offline, or requiring attention, alongside metrics such as health and last check-in time. Data Security Administrators can instantly drill down into individual Connectors for detailed information, configuration adjustments or automated remediation.
With CRDP RESTful API, you can have:
Close vulnerability gaps in < minute, Roadmap is respected (because there are no data protection fire drills taking Devs off revenue-generating projects).
Devs can remain focused on revenue-generating projects because they are not involved in updating data protection.
No downtime or fire drills required to update data protection.
Ultra secure (staying on top of your security posture by closing vulnerability gaps in < minute), Roadmap is respected (because there are no data protection fire drills taking Devs off revenue-generating projects).
Visibility into current security posture (single pane of glass, centralized-management, policy-based), No code change to make updates (removes dependency on DevOps for updates).
Reputation is protected, audits are passed, in compliance, does not add to technical debt.
Audits are passed, in compliance, empowered to update data protection whenever needed.
No need to learn crypto or do the data protection updates, does not add to technical debt.
Developers can call REST APIs to encrypt, tokenize, mask, or decrypt sensitive fields without embedding cryptographic libraries directly into applications. This approach helps simplify implementation while allowing security teams to centrally manage keys, policies, and cryptographic settings.
REST-based data protection is often preferred when organizations want to simplify application integration, standardize protection across multiple programming languages, accelerate development, or reduce the need for developers to manage cryptographic libraries within applications.
Use application data protection to reduce exposure of the most sensitive data throughout its lifecycle, you need to protect data beyond the database, some fields must remain searchable, or compliance regulations require separation of duties.
Use database encryption when your primary concern is physical theft or infrastructure compromise, you need rapid compliance coverage across many databases, most users/apps legitimately need access to the data, legacy apps cannot be modified, or simplicity is more important than granular protection.
Developers can call REST APIs to encrypt, tokenize, mask, or decrypt sensitive fields within an application. REST-based services provide standardized APIs allowing developers to focus on business functionality.
If data protection details are moved out of code and into centrally-managed policies, developers will not need to master cryptography or be involved beyond the initial coding.
Crypto agility is the ability to update ciphers, keys, and parameters in realtime. Crypto agility enables organizations to close vulnerability gaps in realtime to respond to emerging threats, comply with evolving regulations and new standards, reduce technical debt and prepare for post-quantum cryptography.
By separating cryptographic policy management from application code, organizations can centrally update ciphers, key rotation schedules, tokenization rules, and security policies without changing code.
Application-level protection can encrypt, tokenize, or mask sensitive fields before data is stored, shared, or sent to downstream services. Protecting sensitive data at entry helps reduce exposure across AI applications, analytics platforms, logs, databases, and other downstream environments.