Verified Computing Framework

The Verified Computing Framework underpins LazAI’s commitment to transparent and secure AI execution. It ensures that every inference, training update, or agent behavior is cryptographically validated and tamper-resistant.

Scalable Verification Scenario Models
The trust layer for AI combing with three modes for scalable verification scenarios.
ModePrimary UsageStrengthWhen to Use
TEE Mode
DefaultTrusted execution environment (Intel TDX and SGX are both OK) with remote attestationMost inference and fine-tune tasks
TEE + ZK Mode
Optional extensionAdds zero-knowledge proofs for selective inputs, outputs, or logic constraintsPrivacy-sensitive or regulatory tasks
Optimistic Mode (OP)
BackupEnables fraud-proof-based verification when TEE is unavailableLightweight agents or fallback arbitration
What Data Demands Verified Computing?
Financial & Transactional Data
For fintechs, credit bureaus, neobanks, and DeFi protocols where data integrity and audit trails are paramount.
Healthcare & Biomedical Records
For digital health apps, diagnostics platforms, and research collectives who must need cryptographic guarantees for data access.
Legal, Compliance & Regulatory Data
For lawtech, govtech, and regulatory AI workflows, where chain-of-custody and immutability are required by design.
Identity, Personal & Consumer Data
For privacy-first apps, Web3 identity layers, or any platform seeking user-owned data and strong privacy by default.
Enterprise & Industrial Data
For manufacturing, logistics, and industrial AI use cases needing tamper-evidence and shared analytics without data leakage.
Scientific Research & Open Data
For DeSci, open science, and academic collaborations where provenance, reproducibility, and fair attribution are critical.
Verified Computing Architecture
Cryptographic Security Layers
Execution Trust
Protected via hardware-based Trusted Execution Environment (TEE), isolating data and logic from any external compromise.
Data Privacy
Guaranteed by enclave isolation and optional Zero-Knowledge proofs.
Output Integrity
Cryptographic signatures ensure outputs correspond exactly to claimed inputs and computation steps.
Dispute Resolution
Transparent, incentive-driven fraud challenge system ensuring continuous verification integrity.
Learn more about Verified Computing Framework
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