FideCompute
Protection that holds while the work is running
Most security protects data at rest and in transit. FideCompute protects it in use. Each workload runs inside its own hardware-rooted execution environment, so software, AI models, and the data they process stay private throughout computation, including on the GPU.
What FideCompute protects
Runtime protection
Software and models stay sealed inside their execution environment while running, rather than only while stored.
Secure GPU passthrough
Protection extends to accelerated computation, so sensitive data in GPU memory during inference is not left exposed.
Sealed storage
Data is bound to specific hardware, so it cannot be read after being moved to another machine.
Three editions for three environments
Cluster
Target Environment
Edge cloud and data centers
Core Value
Multi-tenant isolation and prevention of data leakage
Typical Platform
AI computing centers
Key Benefit
Stops interference between co-located tenants
On-Premise
Target Environment
Workstations and servers
Core Value
High-security environment for critical applications
Typical Platform
On-premise sovereign AI servers
Key Benefit
Protects intellectual property in AI programs and models
IoT
Target Environment
Gateways and smart devices
Core Value
Lightweight protection for resource-constrained devices
Typical Platform
Edge AI nodes
Key Benefit
Supports digital property rights and data confidentiality.
Five core advantages
Strong isolation
Our patented T-REE technology prevents lateral movement between containers, addressing the shared-kernel weakness directly.
Data and model privacy
TPM and sealed storage bind sensitive data to specific hardware, protecting the confidentiality of the computation itself.
Trusted software supply chain
Container image signing and verification means only authorized containers from trusted sources can run.
Near-native performance
Secure GPU passthrough with less than five percent performance overhead against bare metal.
Hardware root of trust
Hardware TPM chips and secure boot anchor trust at every layer, from power-on through to application operation.
Real-World Applications
Manufacturing — Predictive Maintenance
Situation:
A factory feared the AI vendor's software would expose its production data; the vendor feared the factory would copy its model.
Solution:
FiduciaEdge sealed the AI in a protected vault on the factory's hardware, keeping the model and the data apart while they ran.
Benefit:
Factories can adopt outside AI to cut downtime, without exposing production data or risking the vendor’s model.
Enterprise — Private AI Assistant
Situation:
A company wanted to run an AI assistant on its confidential data but feared the data being pulled out while it ran.
Solution:
Wrapped the AI and the data in a protected space that holds even during processing on the graphics hardware.
Benefit:
Any organization, from enterprises to governments, can run AI on its own confidential data with nothing sent to the cloud.
Healthcare — Remote Patient Care
Situation:
A hospital needed to connect remote monitoring tablets to medical records over public networks without exposing patient data.
Solution:
Created a secure, locked channel at the device for encrypted diagnostics and record exchange.
Benefit:
Hospitals can extend care beyond their walls while keeping patient data private and meeting health-privacy rules.
Shared AI Computing Centers — Keeping Customers Separated
Situation:
An operator rents shared machines; customers worried rivals on the same hardware could see their models.
Solution:
FideCompute Cluster sealed each customer's work in its own space, so no one can see across.
Benefit:
Operators can safely pack more customers onto the same hardware, turning customer separation into sellable capability.