NEW! Data443 Acquires Vaikora – Real-Time AI Runtime Control & Enforcement for AI Agent
Vaikora is the runtime decision point. Noma covers the AI supply chain end-to-end. Different layers, often run together.
Vaikora is a focused pre-execution enforcement proxy. It evaluates AI agent actions in under 500 milliseconds against deterministic policy, and signs every decision into a SHA-256 audit chain. Noma Security is a broader AI Security Posture Management platform that covers LLMs, RAG pipelines, and AI agents across the development lifecycle: discovery of AI assets, posture management on training data and model stores, threat detection on AI usage, and runtime guardrails. Both products operate in the AI security space; Vaikora focuses on the runtime decision point with quantified guarantees, Noma covers the wider AI supply chain.
| Capability | Data443 Vaikora | Noma Security |
|---|---|---|
| Pre-execution enforcement | Yes, sub-500ms decision latency | Yes, inline guardrails |
| Quantified latency SLA | Sub-500ms p95 documented | Not published |
| Cryptographic audit chain | SHA-256, append-only | Not specified |
| Open-source reference gateway | Yes, MIT-licensed | No public open-source product |
| SDK deployment | 2-line Python or Node.js | Platform integration |
| AI asset discovery | Limited | Yes, primary feature |
| Training data posture | No, 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 transparency | $0 open-source, control plane on request | Quote-based |
| Free tier | MIT gateway free forever | No public free product |
| Deployment focus | Runtime enforcement | AI lifecycle posture |
Scope. Noma covers the AI supply chain: training data stores, model registries, deployment endpoints, RAG pipelines, and the runtime agents themselves. Vaikora is the focused runtime decision point. Different scope, different buyer pain.
Enforcement architecture. Both products enforce at runtime. Vaikora runs inline as a proxy or as a 2-line SDK with a documented sub-500ms latency. Noma ships inline guardrails as part of a wider AISPM platform; the enforcement specifics are wrapped inside the platform context.
Audit and compliance receipts. Vaikora signs every decision into an append-only SHA-256 hash chain that auditors can replay. Noma logs and integrates with SIEM, but cryptographic chaining is not a publicly documented feature. Buyers with audit-grade tamper-evident log requirements should ask Noma their log integrity model.
Open source. Vaikora’s vaikora-llm-gateway is MIT-licensed and free to run, modify, and self-host. Noma has no public open-source product. For teams that want to evaluate the engine before procurement, only Vaikora offers that path.
Vaikora: MIT-licensed open-source gateway free. Control Plane quote-based.
Noma Security: Quote-based across the board. Enterprise AISPM scope, no public free tier.
How they compare: Vaikora has a $0 entry point. Noma does not. For organizations that want to evaluate enforcement behavior before any procurement conversation, Vaikora is the only viable path.
When Noma is the better fit:
When Vaikora is the better fit:
Vaikora’s adapters cover OpenAI, Anthropic, Google Gemini, OpenRouter, plus A2A and MCP protocol enforcement. Distribution surfaces: AWS Marketplace (3 Vaikora connectors), Azure Sentinel (Vaikora-AzureSecurityCenter), direct API.
Noma integrates at the AI infrastructure layer: model stores, RAG pipelines, agent platforms, and SIEM output. The two products operate at different layers and can coexist comfortably. Noma can flag agents that fall outside posture policy; Vaikora can enforce policy at the LLM-call boundary; both can emit events to the same SIEM.
Typical Vaikora customer: Engineering-led, building custom agent code. Regulated compliance posture. Procurement via AWS or Azure Marketplace. Often starts with the open-source gateway.
Typical Noma customer: Enterprise security organization with a CISO-led AISPM program. Wide AI footprint across training, model serving, RAG, and runtime. Procurement at the platform level.
Vaikora and Noma are not direct substitutes. They sit at different layers of the AI security stack. Most teams that care about both posture and runtime enforcement will run them in parallel.
To add Vaikora to a Noma environment: drop the Vaikora SDK or proxy inline at the LLM-call boundary, point Vaikora’s audit output at the existing SIEM, and configure Noma to consume Vaikora decision events.
To add Noma to a Vaikora environment: a procurement conversation about whether the wider AISPM scope is needed.
Vaikora is a focused runtime enforcement proxy with sub-500ms decision latency and a SHA-256 audit chain. Noma Security is a broader AISPM platform covering AI asset discovery, training data posture, RAG governance, and runtime guardrails across the AI lifecycle.
Vaikora has a $0 entry point via the MIT-licensed open-source gateway. Noma does not publish a public free product tier. Commercial pricing for both is quote-based.
Yes. The two products operate at different layers of the AI security stack and are commonly run in parallel. Noma covers AI asset posture and lifecycle; Vaikora enforces at the LLM-call boundary with cryptographic receipts.
Vaikora enforces at the LLM-call boundary, which means RAG calls flowing through OpenAI, Anthropic, Gemini, or OpenRouter adapters are in-scope for policy enforcement. Noma offers deeper native RAG governance including embedding-store posture and document-source policy.
Vaikora is not primarily an AI asset discovery product. The enforcement engine sees the traffic that passes through it. For wider discovery of AI usage across an environment, Noma’s AISPM coverage is broader.
Two lines of code in Python or Node.js for the inline SDK. The proxy mode runs as a sidecar or hosted endpoint. Most pilot deployments are enforcing policy within the same day.
Related Vaikora comparisons:
Parent product: AI Runtime Control: Vaikora
Open-source gateway: github.com/Data443/vaikora-llm-gateway
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