From hardware root of trust to production AI applications. GuardCloud provides the complete stack for deploying confidential AI workloads with mathematical privacy guarantees.
Confidential
SaaS
Vertical
Agents
Private
AI
Use-case:
Trade secrets
Use-case:
Patient health data
Use-case:
Financial reporting
Hardware-rooted Integrity Measurement Architecture
End-to-End Data Processing Encryption
AMD SEV-SNP • Intel TDX • NVIDIA H100 Confidential
Our novel Integrity Measurement Architecture extends Linux's hardware root of trust to containerized AI workloads with privacy-preserving Zero-Knowledge attestation.
LLMs fundamentally broke traditional security models. Unlike conventional systems where we validate inputs at boundaries, LLMs must accept arbitrary natural language—making it impossible to distinguish malicious instructions from legitimate queries.
Confidential Container-as-a-Service (CCaaS). Deploy complete microservice environments with hardware-backed privacy guarantees.
Deploy containerized AI workloads to confidential enclaves through an intuitive web interface.
Every deployment is automatically measured by GuardCloud IMA. Cryptographic proofs generated continuously.
Each tenant's workloads run in isolated enclaves. Hardware-enforced boundaries between customers.
Enterprise-grade Retrieval-Augmented Generation where your AI models and proprietary documents run in hardware-attested enclaves.
Query millions of privileged documents. AI-powered case research without exposing attorney-client communications.
AI on patient records, clinical notes, research data. HIPAA-compliant by architecture, not just policy.
Analyze deal rooms with AI. Confidential financials and contracts stay cryptographically protected.
From GuardCloud RAG for immediate value to custom deployments on GuardCloud Platform.
Upload your documents and experience confidential AI in minutes.
See GuardCloud Platform in action with our team.