NEURALAXISThe human side of AI
NeuralAxis Level 1 AI assurance areas18 top-level AI assurance areas and 39 design relationships. Smaller safeguard nodes are excluded. Mapped coverage does not represent full assurance.P0Agent identity &delegated authority3/4 safeguards mappedP0Tools, MCP & agent supplychain2/3 safeguards mappedP0Memory, context & sessionsecurity2/4 safeguards mappedP0Multi-agent trust &communication1/3 safeguards mappedP0Runtime policy & controlintegrity3/3 safeguards mappedP0Agent workflow &transaction safety4/4 safeguards mappedP0Model artifacts, weights& registry security0/3 safeguards mappedP1Training & fine-tuningpipeline security0/3 safeguards mappedP1Model theft & adversarialprivacy0/3 safeguards mappedP1Adversarial evasion &backdoor robustness0/3 safeguards mappedP0Hidden context exposure3/3 safeguards mappedP0Inference serving & cacheisolation0/3 safeguards mappedP0AI platform &control-plane security0/3 safeguards mappedP0Deployment custody,sovereignty &disconnected operation2/3 safeguards mappedP0AI shared responsibility& provider exit1/3 safeguards mappedP0Assurance engineering &evaluation integrity3/4 safeguards mappedP1AI abuse prevention &misuse handling2/3 safeguards mappedP1Content authenticity &media provenance1/3 safeguards mapped
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Built by enterprise architects, data leaders, and product engineers.

Build AI you can trust. See how it all connects.

We connect risks, controls, and evidence across agents, models, data, and infrastructure, so you can identify gaps, prioritize safeguards, and build assurance into every layer.

Architecture before agents●Automate the whole handoff●Measure your AI's value●Understand your tokenomics●Build controls into the flow●
Architecture before agents●Automate the whole handoff●Measure your AI's value●Understand your tokenomics●Build controls into the flow●

The actual AI problem

The model is rarely the bottleneck.

01

AI pilots that never reach the real workflow

02

Agents that cost more every month but do not improve

03

Manual handoffs hiding between “automated” tools

04

No control plane for data, quality, risk, or spend