NEW! Data443 Acquires Vaikora – Real-Time AI Runtime Control & Enforcement for AI Agent
Vaikora is the focused enforcement layer. Zenity is the wider governance plane. Buyers often run both.
Vaikora is a pre-execution enforcement proxy. It sits inline between AI agents and the systems they act on, evaluates every action against deterministic policy in under 500 milliseconds, and either allows, blocks, modifies, or escalates the action. Every decision is signed into a SHA-256 hash chain. Zenity is a broader AI agent governance platform that covers pre-deployment posture, multi-platform agent discovery (Microsoft Foundry, Bedrock, Vertex AI, Copilot, Salesforce Agentforce), step-level execution monitoring, and inline guardrails. Both products enforce at runtime; Zenity has wider coverage, Vaikora has stronger latency and audit guarantees.
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| Capability | Data443 Vaikora | Zenity |
|---|---|---|
| Pre-execution enforcement | Yes, sub-500ms decision latency | Yes, “stop unsafe actions before they impact” |
| Quantified latency SLA | Sub-500ms p95, documented | Not published |
| Cryptographic audit chain | SHA-256, append-only | Not specified as cryptographic |
| Open-source reference gateway | Yes, MIT-licensed (`vaikora-llm-gateway`) | No public open-source product |
| SDK deployment | 2-line Python or Node.js drop-in | Enterprise integration via platform connectors |
| Multi-platform agent coverage | OpenAI, Anthropic, Gemini, OpenRouter, MCP, A2A | Microsoft Foundry, Bedrock, Vertex AI, Copilot, Salesforce Agentforce, custom |
| Pre-deployment posture management | Limited to policy-as-code | Yes, full posture engine |
| Step-level execution monitoring | Pre-execution focus | Yes, full step-level traces |
| Compliance presets | SOC 2, HIPAA, GDPR, PCI DSS, ISO 27001 | Not published publicly |
| Pricing transparency | Open-source tier free, commercial control plane on request | Quote-based only, no public tier |
| Free tier | Yes, MIT gateway is free forever | Free risk assessment, no free product tier |
| Deployment model | Proxy or inline SDK | Platform integration |
| AWS Marketplace | Yes, 3 Vaikora connectors live | Not currently listed |
| Azure Sentinel | Yes, Vaikora-AzureSecurityCenter solution live | Microsoft Foundry partner |
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Enforcement model. Vaikora is a proxy. Every AI action passes through Vaikora before it executes, and Vaikora returns an enforcement decision in under 500 milliseconds. Zenity ships inline guardrails too, but the architecture is platform-integration rather than proxy-inline, and Zenity has not published a public latency SLA. If a buyer’s threat model requires hard guarantees on enforcement latency, Vaikora answers that question on the homepage; Zenity will answer it on a security call.
Audit and compliance receipts. Vaikora signs every decision into a SHA-256 hash chain. Auditors can replay the chain and verify that no record was modified after the fact. This is the foundation for satisfying SOC 2 logging requirements, HIPAA accountability rules, and PCI DSS audit trail mandates. Zenity logs agent execution and integrates with SIEM, but the public marketing does not call out cryptographic chaining. Buyers who need audit-grade tamper-evident records should confirm with Zenity what their log integrity model is.
Coverage breadth. Zenity wins here. Their marketing emphasizes “any agent on any platform” and they have public partner relationships with Microsoft Foundry, AWS Bedrock, Google Vertex AI, Microsoft Copilot, and Salesforce Agentforce. Vaikora covers OpenAI, Anthropic, Google Gemini, and OpenRouter via inference adapters, plus A2A and MCP protocols for agent-to-agent and tool-invocation enforcement. If a buyer’s environment is heavily standardized on Salesforce Agentforce or Microsoft Copilot, Zenity is the closer fit. If the environment is heterogeneous LLM-backed agents, Vaikora’s adapter library covers the major providers.
Open source. Vaikora ships vaikora-llm-gateway under the MIT license on GitHub. Teams can run it free, modify it, and self-host. The commercial control plane adds management, policy distribution, audit chain replay, and SLA support. Zenity does not have a public open-source product. For teams who want to evaluate the enforcement engine before any procurement conversation, Vaikora is the path that does not require talking to sales.
Deployment time. Vaikora’s documented path is two lines of code in Python or Node.js to put the SDK inline. The proxy mode requires running the gateway as a sidecar or as a hosted endpoint. Zenity’s deployment is platform-integration: connect Zenity to the agent management plane (Foundry, Bedrock, Vertex), and Zenity discovers and instruments agents from there. Faster for organizations already standardized on one of those platforms; slower for organizations with custom agent code.
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Vaikora: The open-source gateway is free under the MIT license. The Vaikora Control Plane (managed policy distribution, audit chain replay, SLA, compliance reporting) is quote-based. AWS Marketplace listings (Vaikora to Security Hub, Vaikora to CrowdStrike, Vaikora to SentinelOne) are listed at $0 because the buyer brings their own Vaikora API key. Pricing for the commercial control plane is set during the procurement conversation.
Zenity: Quote-based across the board. Zenity does not publish public pricing or a free product tier. A free risk assessment is available as a sales lead-in. Expect enterprise-tier pricing aligned to seats, agent count, or platform scope.
How they compare: Vaikora has a $0 entry point (MIT gateway). Zenity does not. For organizations that want to evaluate enforcement behavior end-to-end before talking to procurement, Vaikora is the only viable path of the two.
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When Zenity is the better fit:
When Data443 Vaikora is the better fit:
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Vaikora ships inference adapters for OpenAI, Anthropic, Google Gemini, and OpenRouter. It enforces A2A (agent-to-agent) protocol and MCP (Model Context Protocol) tool invocation policy. Distribution surfaces: AWS Marketplace (3 Vaikora SaaS connectors covering Security Hub, SentinelOne, and CrowdStrike), Azure Sentinel (Vaikora-AzureSecurityCenter solution live on Microsoft Sentinel marketplace), and direct API.
Zenity integrates at the agent platform layer: Microsoft Foundry, AWS Bedrock, Google Vertex AI, Microsoft Copilot, Salesforce Agentforce. Output to SIEM via standard log forwarding. The architectural difference is layer: Vaikora wraps the LLM API or the tool call, Zenity attaches to the agent management plane.
Many enterprise security stacks will end up running both. Zenity covers pre-deployment posture and platform-level discovery; Vaikora covers runtime enforcement with audit receipts. The integration is straightforward: Vaikora can emit decision events to Zenity’s SIEM connector, and Zenity can flag agents that fall outside Vaikora policy.
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Typical Vaikora customer: Mid-to-large enterprise with custom AI agent workloads, a regulated compliance profile (SOC 2, HIPAA, PCI DSS, ISO 27001), and a security team that wants to evaluate the technology before procurement. Often building agent-backed products or internal copilots, not buying off-the-shelf agent platforms. Procurement path frequently runs through AWS Marketplace or Azure Marketplace.
Typical Zenity customer: Large enterprise standardized on a major agent platform (Microsoft Copilot, Salesforce Agentforce, or one of the major hyperscaler agent runtimes), with a CISO-level sponsor driving a platform-wide AI governance program. Buyer wants discovery, posture, and runtime monitoring in a single product, not three separate point tools.
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Vaikora and Zenity are not direct substitutes. They operate at different layers of the AI security stack, and most security teams that care about both pre-deployment posture and runtime enforcement will run them in parallel rather than pick one. The migration question is not “Zenity to Vaikora” but “where does each one sit in the stack.”
If a team is already using Zenity and wants to add Vaikora: drop the Vaikora SDK or proxy inline between the agent and the LLM, point Vaikora’s audit output at the existing SIEM, and configure Zenity to consume Vaikora decision events. No data migration is required.
If a team is already using Vaikora and considering Zenity: the question is whether the pre-deployment posture engine and the platform-level discovery features are worth the procurement cycle. For organizations standardized on a major agent platform, often yes. For organizations with custom agent code, often no.
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Vaikora is a focused runtime enforcement proxy with sub-500ms decision latency and a SHA-256 cryptographic audit chain. Zenity is a wider AI agent governance platform that covers pre-deployment posture, multi-platform agent discovery, and runtime monitoring. Both enforce at runtime; the trade-off is depth vs. breadth.
Vaikora has a $0 entry point: the MIT-licensed vaikora-llm-gateway is free to download, run, and modify. Zenity does not have a public free product tier. Commercial Vaikora pricing and Zenity pricing are both quote-based and depend on scope.
Vaikora’s published adapters cover OpenAI, Anthropic, Google Gemini, and OpenRouter at the LLM level, plus A2A and MCP at the protocol level. Workloads running on Bedrock or Copilot can be enforced by Vaikora at the LLM-call boundary. Zenity has deeper native integration at the agent-platform layer for those specific platforms.
Yes, and many enterprise security stacks will. Zenity covers pre-deployment posture and platform discovery; Vaikora covers runtime enforcement with cryptographic receipts. Vaikora can emit decision events to Zenity’s SIEM connector for end-to-end visibility.
The documented inline SDK path is two lines of code in Python or Node.js. The proxy mode requires running the gateway as a sidecar or hosted endpoint and pointing agent traffic at it. Most pilot deployments are running policy enforcement within the same day.
Vaikora and Zenity are not direct substitutes. Vaikora replaces the runtime enforcement layer; Zenity covers a wider scope. The viable question is which layers of the stack each product owns, not which product replaces the other.
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Related Vaikora comparisons:
Parent product page: AI Runtime Control: Vaikora
Open-source reference gateway: github.com/Data443/vaikora-llm-gateway
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