VaikoraVaikora › Compare › Vaikora vs Noma Security
Vaikora vs Noma Security
The runtime enforcement decision point vs end-to-end AI posture management.
At a glance
| Capability | Vaikora | Noma Security |
|---|---|---|
| Pre-execution enforcement | Yes, sub-500ms p95 | Yes, inline guardrails |
| Quantified latency SLA | Sub-500ms p95, documented | Not published |
| Cryptographic audit chain | SHA-256, append-only | Not specified |
| Open-source gateway | MIT-licensed, free forever | No public open-source product |
| AI asset discovery | Limited | Yes, primary feature |
| Training-data posture | Out of scope (runtime focus) | Yes |
| RAG pipeline coverage | Indirect, via LLM-call enforcement | Yes, native |
| Compliance presets | SOC 2, HIPAA, GDPR, PCI DSS, ISO 27001 | Inherits enterprise AISPM scope |
| Pricing | Free OSS + quote-based control plane | Quote-based, no free product |
How they compare
Runtime decision point vs lifecycle posture
Vaikora is a focused pre-execution enforcement proxy: it evaluates each agent action in under 500ms and signs the decision into a SHA-256 chain. Noma is an AI Security Posture Management platform covering asset discovery, training-data and model-store posture, RAG, and runtime guardrails across the lifecycle. Vaikora is depth on the runtime decision; Noma is breadth across the AI supply chain.
Latency, audit, and open source
Vaikora documents a sub-500ms p95 and an append-only SHA-256 audit chain, with an MIT-licensed gateway. Noma does not publish a latency number or a cryptographic-chain guarantee and has no public open-source product.
Compliance presets and pricing
Vaikora ships named SOC 2, HIPAA, GDPR, PCI DSS, and ISO 27001 presets with a free open-source tier; the control plane is quote-based. Noma's compliance scope is inherited from its enterprise AISPM platform and is quote-based with no public free product.
AI asset discovery
Noma's primary strength is discovery and posture across training data, model stores, deployments, and runtime agents in one platform. Vaikora does not cover lifecycle discovery; it focuses on enforcing the action at the LLM-call boundary. Teams often run Noma for posture and Vaikora for the enforcement decision and audit.
Who each is best for
Choose Vaikora when
- Enforcement at the LLM-call boundary is needed without committing to a wider AISPM platform.
- Sub-500ms enforcement latency is a stated requirement.
- Audit-grade SHA-256 receipts and named compliance presets are required.
- The team wants to evaluate the engine via the open-source gateway before talking to sales.
Choose Noma Security when
- AI asset discovery across training data, model stores, and runtime agents is needed in one platform.
- AISPM is the named procurement program with a CISO sponsor.
- RAG pipeline posture and training-data governance are first-order requirements.
- Wide AI lifecycle coverage matters more than depth on runtime enforcement.
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What is the main difference between Vaikora and Noma Security?
Vaikora is a focused runtime enforcement proxy with a documented sub-500ms p95, a SHA-256 audit chain, and an open-source gateway. Noma is a broader AI Security Posture Management platform covering asset discovery, training-data posture, RAG, and runtime guardrails.
Can I run both?
Yes. A common pattern is Noma for AI posture and discovery across the lifecycle, with Vaikora as the enforcement and audit layer at the LLM-call boundary.
Does Noma have an open-source product?
No public one. Vaikora ships an MIT-licensed reference gateway that is free forever.
Is Vaikora free?
Yes. The Vaikora gateway is MIT-licensed and free forever, with a quote-based Control Plane for the audit chain and compliance presets.