Architecture
Convert chaotic AI actions into verifiable, ordered evidence using our cryptographic trust layer.
Venziq is designed as a secure trust interface that sits between your AI application and our proprietary trust infrastructure. You do not need to understand complex cryptography or manage custom data pipelines to build verifiable AI.
1. AI Application
Your autonomous agents execute tasks natively within your environment using frameworks like LangChain, CrewAI, AutoGen, or directly through raw LLM calls.
2. Venziq Connector & SDKs
Our lightweight middleware captures critical execution context locally before transmission. This allows existing AI applications to add trustworthy execution records without rebuilding their architecture.
- Context: Prompt context and user identity
- Action: Agent decisions and tool execution
- Result: Output evidence and artifacts
3. Venziq Trust APIs
The SDK communicates with the public Venziq APIs, serving as the secure boundary to ingest evidence, query historical records, and access verification data.
4. Venziq Trust Infrastructure
Behind the API boundary, Venziq operates a proprietary backend that securely stores evidence, processes events, and generates cryptographic integrity (e.g. Merkle trees) to maintain an immutable history.
5. Independent Verification
Auditors and compliance teams can retrieve proofs and verify the authenticity of any stored record through the public interface, independently validating that the AI execution history was never tampered with.
AI Application
↓
Venziq Connector / SDK
↓
Venziq Trust APIs
↓
Trust Infrastructure
↓
Store / Query / Verify