Federated Telemetry Pipeline
TrustForgeAI integrates UEFI, OpenBMC, and Caliptra RoT to enable secure, scalable telemetry for federated AI workloads. The diagram below illustrates how platform events flow through firmware layers, are logged via Redfish schema extensions, and verified by federated trust controllers.
Layered Security Architecture
Our platform security stack spans AI-enhanced runtime assurance, trusted display and connectivity protocols, and hardware-rooted trust. The diagram below illustrates this layered approach:
- AI-Enabled Security: Runtime anomaly detection, model integrity enforcement
- CXL | TDISP: Trusted interconnect and display protocols for secure data flow
- PSA Level 3 | Caliptra RoT: Hardware-based attestation and cryptographic identity binding
Federated Learning for Runtime Security
We apply federated learning principles to platform security by distributing model updates and training signals across CPUs, GPUs, and BMCs. This architecture ensures secure, decentralized learning without exposing raw data.
- Model Update Distribution: Secure propagation of learned parameters across nodes
- Training Signals: PCIe/CXL-based telemetry inputs for continuous learning
- Platform RoT: Central trust anchor validating model integrity and telemetry authenticity