Confidential Computing & TEEs: What Enterprises Must Know in 2025
Blog post from Duality
Confidential computing is a security technology that protects data during processing by using Trusted Execution Environments (TEEs), which are isolated, hardware-based environments within a CPU that keep data secure from external interference. TEEs ensure data isolation, integrity, and attestation, with implementations like Intel SGX, AMD SEV-SNP, and Arm TrustZone being widely used across industries such as finance and healthcare. While TEEs enhance security by ensuring decrypted data is only accessible within secure enclaves, they face challenges like side-channel attacks and scalability limitations. The technology is evolving to include confidential GPUs, which extend protections to GPU accelerators for secure AI workloads. Confidential computing is particularly beneficial for regulated industries and sensitive data applications, although enterprises must consider factors like risk, compliance, and performance when adopting it. Duality Technologies integrates confidential computing with other privacy-enhancing techniques like homomorphic encryption and federated learning to provide comprehensive data security solutions.
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