How Can We Secure Data at Every Stage of the Data Lifecycle?

Data security is important at every stage of the data lifecycle. Data can exist in three different states:

• Data at Rest (DAR)
• Data in Motion (DIM)
• Data in Use (DIU)

Let's briefly look at each stage.

Data at Rest (DAR)

Data at Rest (DAR) refers to data that is stored on devices such as hard drives, SSDs, or cloud storage. It can be protected by using encryption, strong passwords, and proper access control so that unauthorized users cannot read or modify the data.

Data in Motion (DIM)

Data in Motion (DIM) refers to data that is being transferred over a network. It is usually secured by encryption protocols such as TLS/SSL, VPNs, and secure communication channels to prevent interception or tampering.

Data in Use (DIU)

The most challenging stage is Data in Use (DIU), which means the data is actively being processed by the computer and is temporarily stored in RAM (Random Access Memory).

In most cases, data in RAM is kept in plain text so that the CPU can process it quickly. Because of this, it is impossible to make data in RAM completely secure all the time.

However, it is possible to improve its security. Modern technologies such as Trusted Execution Environments (TEE), Intel SGX, AMD SEV, and memory encryption help protect data while it is being processed. Operating systems also use memory isolation, access control, and application sandboxing to reduce the risk of unauthorized access.

Even with these protections, if an attacker gains high-level system privileges or exploits hardware vulnerabilities, sensitive data may still be exposed.

Therefore, data in use can be secured to a great extent, but it cannot be made 100% secure, because the CPU must access the data in its original form to perform computations.

Conclusion

Among the three stages of the data lifecycle, Data in Use (DIU) remains the most difficult to secure. While modern hardware and operating systems provide several protection mechanisms, complete security is still not possible due to the fundamental requirement that the CPU must access data in its original form during computation.