Encryption transforms sensitive data (e.g., name, address) into an unreadable format known as ciphertext using a mathematical algorithm and a secret key. Encryption can only be reversed by authorized parties who possess the corresponding decryption key. Ciphertext can be a mixture of numbers, characters and symbols and typically requires more storage space than format-preserving tokens.
Whether storing data in a physical data center, private or public cloud, or third‑party storage application, strong encryption and key management are essential to protect sensitive data.
Our CipherTrust Data Security Platform delivers enterprise data encryption for data at rest, in motion, and in use—combining transparent encryption, tokenization, and role‑based access controls across databases, applications, APIs, files, and storage containers. Centralized key management and a hardened root of trust help enterprises protect master keys and keep data secure.
Protect sensitive data everywhere with consistent encryption, centralized control and key management across hybrid environments.
Protect PCI, PII and PHI with encryption and key management across all data states.
Protect PCI, PII and PHI at every layer.
Protect PCI, PII and PHI across hybrid and multi-cloud environments. Eliminate gaps as data moves among platforms.
Protect PCI, PII and PHI before AI and other systems replicate the data across applications, systems and environments.
Discover, classify, protect and analyze sensitive data across your environment.
Limit access to PCI, PII and PHI with role-based access controls (RBAC) and centrally-managed policies.
Cost Savings and Business Benefits Enabled by the CipherTrust Data Security Platform
Prior to implementing CipherTrust Platform, we struggled with encrypting and tokenizing data spread across such a complex IT landscape, but CipherTrust Platform has made it possible to centralize all encryption and key management across all platforms.”
Protect sensitive data stored in enterprise databases using CipherTrust Transparent Encryption, a data‑at‑rest encryption solution that secures database files without modifying applications or schemas. Maintain performance while protecting regulated and sensitive data.
Protect sensitive data in motion as it flows between applications, services, and microservices using CipherTrust Application Data Protection. Secure API requests and responses without rewriting application code, ensuring encrypted data exchange across modern architectures.
Prevent exposure when production data is copied into development, testing, analytics, or AI training environments. Use CipherTrust Transparent Encryption and CipherTrust Data Masking to protect sensitive data while supporting safe data reuse.
Enable secure data sharing by removing sensitive information before datasets are distributed. Apply CipherTrust Data Masking and Redaction to permanently mask PII and confidential fields across databases, files, and analytics datasets.
Limit who can view sensitive data in cleartext across enterprise databases and applications. Use CipherTrust Key Management and policy‑based controls to reveal, mask, or encrypt data based on user role, application, or context.
With one of the industry’s largest cyber security technology ecosystems, Thales solutions integrate with the most widely used technologies to protect and secure access to your mission-critical applications and data.
Encryption helps organizations reduce the impact of ransomware by preventing unauthorized access to sensitive data and limiting the usefulness of stolen information. When combined with centralized key management, access controls, and security monitoring, encryption creates multiple layers of defense that help organizations maintain control of critical data even if systems are compromised.
Encryption converts sensitive information into unreadable ciphertext that can be restored with a cryptographic key. Tokenization replaces sensitive data with non-sensitive tokens, while data masking hides or obscures specific information from users. Organizations often use these technologies together to protect data, reduce compliance scope, and secure sensitive information across applications, databases, and cloud environments.
Organizations can maintain control of encryption keys across multiple cloud providers through centralized key management. This approach allows security teams to enforce consistent policies, manage key lifecycles, support compliance requirements, and reduce dependence on cloud-provider-managed keys. Centralized key management also improves visibility across hybrid and multi-cloud environments.
AI, machine learning, and analytics platforms often process large volumes of sensitive business and customer data. Encryption helps protect that data during storage and processing while supporting privacy regulations and internal security policies. Organizations increasingly use encryption and centralized key management to secure AI training data, analytics environments, and cloud-based data pipelines.
The right encryption approach depends on where sensitive data resides and how it is used. File-level encryption can protect unstructured data, database encryption secures structured information, application-layer encryption protects data before storage, and network encryption safeguards information in transit. Many organizations adopt a layered strategy that combines multiple encryption methods with centralized key management for comprehensive protection.