Mithril Security

Founded by Daniel Huynh in 2021

Deploy and manage AI models with end-to-end data confidentiality and provenance verification.

Cost

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Mithril Security to deploy AI models within secure enclaves, ensuring that sensitive data remains confidential throughout the entire AI lifecycle. For Data Scientists and Machine Learning Engineers, this means the ability to train and serve models without exposing data to unauthorized access. CTOs and Compliance Managers benefit from cryptographic proofs of model provenance, aligning with stringent regulatory requirements. IT Security Specialists and DevOps Engineers can integrate these secure AI deployments seamlessly into existing infrastructures, maintaining high security standards. Product Managers can leverage these capabilities to build trust with users by offering verifiable and privacy-preserving AI solutions.

What Mithril Security does

Deploy AI models within secure enclavesGenerate cryptographic proofs for AI model provenanceIntegrate confidential AI deployments into cloud infrastructuresEnsure compliance with data protection regulations in AI workflowsProtect sensitive data during AI model training and inferenceImplement zero-trust architectures for AI applicationsMonitor and audit AI deployments for security and complianceFacilitate secure collaboration on AI projects across teamsSecure enclave deployment for AI modelsCryptographic proof of model provenance with AICertEnd-to-end data confidentiality during AI processingOpen-source solutions for transparency and auditabilityIntegration with existing infrastructures for seamless deploymentCompliance with regulatory standards for data protectionSupport for large language models with BlindLlamaHardware-backed compute governance for AI security