Confidential AI
Build and run AI workloads while keeping data, models, and agents fully protected through confidential computing.
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Picari insights
Enterprise security teams in highly regulated sectors (e.g., healthcare, financial services) that need to run sensitive AI models and process confidential data in untrusted or multi-tenant cloud environments.
- Securing proprietary model weights and training data
- Meeting strict data residency and sovereignty requirements
- Zero-trust multi-party AI data collaboration
- Standard low-risk AI pipelines running entirely within secure on-premise infrastructure
- Teams lacking hardware support for Confidential Computing (e.g., Intel SGX/TDX, AMD SEV)
- Lightweight generative AI hobbyists or early-stage prototypes with minimal compliance needs
Ask about pricing, alternatives, or if Confidential AI is right for you.
- Personalized fit analysis
- See relevant alternatives
- Run an evaluation when you're ready
Core capabilities
Common use cases
Enterprise AI scaling with data protection
Multi-tenant AI environments
On-premises AI sovereignty
Regulated industry compliance for healthcare and finance
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
Security & compliance
Frameworks Fortanix DSM (Data Security Manager) Confidential AI reports for security, privacy, and regulatory compliance.
SOC 2 Type II
AICPA security & availability audit
ISO/IEC 27001
Information security management standard
GDPR
EU data protection compliance
HIPAA
US healthcare data protection
PCI DSS
Payment card data security standard
Fortanix DSM (Data Security Manager) Confidential AI pricing and integrations
For Fortanix DSM (Data Security Manager) Confidential AI integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
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