ShelterZoom has launched its Mithra AI trust infrastructure to provide cryptographic proof and data verification for enterprise AI.
Mithra Technologies, a subsidiary of software developer ShelterZoom, launched its Mithra AI trust infrastructure platform to enable corporate organisations to verify artificial intelligence responses against trusted datasets. The system introduces cryptographic verification, complete data lineage, content provenance, and data governance across foundational large language models.
The launch establishes a cryptographic single source of truth that validates corporate data before it reaches any external intelligence network, presenting a clear shift toward data-layer governance. This framework allows modern businesses to safely deploy automation with transparency, providing continuous validation, preserved chains of custody, and default audit-ready evidence.
This infrastructure directly solves the operational challenge where advanced models cannot independently determine if underlying information is authentic, current, or authorised. By governing information at the data layer, the system successfully mitigates risks associated with artificial intelligence hallucinations, deepfakes, intellectual property leakage, and fragmented enterprise knowledge.
The platform integrates into existing corporate environments through application programming interfaces and software development kits, delivering blockchain-backed, post-quantum security to help organisations reduce emerging cyber threats and unauthorised data use.
Chao Cheng-Shorland, CEO and Co-Founder at ShelterZoom and Mithra Technologies, said: “Mithra was built around one simple belief: the future of AI depends on trust. We believe every AI-generated response, decision and model interaction will require cryptographic trust, provenance, lineage and governance.”
Dr Barry Morgan, Founder at Sage Matters, Health, Longevity and Coaching Services, said: ” Our team is particularly interested in how Mithra addresses the core tension that’s been holding back AI adoption in healthcare: delivering powerful AI capabilities while maintaining the security, privacy and regulatory compliance that HIPAA demands.”
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