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 of data processing to protect against unauthorized access, modification, or disclosure.
Challenge
Do you have sensitive workloads that are not migrated to the public cloud?
50 %
year over year increase in cyber attacks
$ 4.5 M
the average cost for 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
End-to-End Data Protection
- Foundational use case based in separation of duties
- Independent verification of SW/HW integrity
- End-to-end customer-controlled data protection
Enhanced App Security
- Runtime integrity checks
- Evidence reports for auditing
- Reduce data leak risks by isolating third-party applications and validating integrity through Trust services
Confidential/Secure AI
- Prevent IP theft
- Protect privacy during model creation, data ingestion, training and inferencing
- Establish trust in AI collaboration
Multi-party Data sharing
- Independent oversight, no implicit trust of one party
- Ease of deployment (cloud or on-premises)
- Reduced security risk and compliance risk
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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