End-to-End Data Protection is a security strategy that ensures data remains secure from the moment it’s created to its final destination and throughout its lifecycle. It involves implementing measures at every stage (data in motion, in use and at rest) of data processing to protect against unauthorized access, modification, or disclosure.
Challenge
Sensitive workloads are stuck in legacy environments, blocking deployment agility.
71%
year over year increase in cyber attacks using credentials
$4.9 M
the average cost of a data breach
277
average number of days to detect and contain a data breach
End-To-End Data Protection benefits
Workload isolation
Hardware-based separation of the underlying software, admins and other cloud tenants.
Enhanced security
Customer-controlled end-to-end access and identity management, data protection to prevent observability to non-authorized parties.
Verification
Verifies customer-defined policies for the hardware and software stack are exactly as expected, enforces these policies and grants access to the workloads exclusively to authorize parties defined by the customer.
Use cases
- Customer-Controlled Data Protection
- Enhanced App Security
- Confidential/Secure AI
- Multi-party Data sharing
Customer-Controlled Data Protection
- Foundational use case based in separation of duties
- Independent verification of hardware integrity
- End-to-end customer-controlled data protection
Enhanced App Security
Confidential/Secure AI
Multi-party Data sharing
Protect LLMs with CipherTrust Transparent Encryption
CipherTrust Data Security Platform secures sensitive data in LLM use cases with advanced encryption, protecting data at rest, in transit, and during execution.
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