Where confidential computing is making an impact
Financial services
Financial services are leading the way in adopting confidential computing. Banks and insurers have always been early adopters of strong security measures. Now, they use confidential computing to protect transactions, customer records, and proprietary algorithms.
As these organizations shift more workloads to the cloud and handle higher volumes of digital transactions, they face growing pressure from regulators and customers. Confidential computing offers clear isolation between data and unauthorized code, reducing cross-tenant risks and preventing lateral movement. In shared cloud environments, this level of assurance is essential for maintaining both operational resilience and customer trust.
AI and cloud providers
AI developers and cloud providers also see major potential. They rely on secure enclaves to train and deploy models without exposing raw data or risking leaks. For example, research partners working on a health AI tool can share insights without revealing patient data—a huge win for privacy and compliance.
Confidential computing also helps prevent model tampering and data poisoning. As generative AI adoption accelerates, protecting data from unauthorized inputs and maintaining trustworthy outputs is vital. Isolating data during training and use supports clean, reliable datasets and reinforces model integrity. This separation is fast becoming a baseline expectation.
Moreover, as AI models become central to business operations and decision-making, ensuring that only verified, trusted code and data are involved in training and inference becomes a strategic necessity. Confidential computing allows organizations to prove that AI workloads are protected and not manipulated, adding an extra layer of confidence in automated outcomes.
Government and defense
Most government and defense organizations have adopted Zero Trust principles to ensure cybersecurity is implemented in measurable ways. Securing active data is the natural next step.
As nation-state attacks and advanced persistent threats (APTs) increase, confidential computing enables agencies to secure data even while it’s being processed inside the CPU—not just at rest or in transit. It also provides hardware-based attestation for verifiable proof of trust, allowing them to verify that security controls are working as intended in real time, rather than simply assuming network safety.
This is particularly important for defense programs that handle critical intelligence and mission data. In short, confidential computing enables agencies to modernize and adopt cloud tools without putting classified or strategic information at risk. In the future, these capabilities could be considered essential infrastructure, forming a backbone for national security and mission-critical operations.
Enabling secure digital transformation
