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Vaikora vs F5 AI Gateway
Network-edge AI inspection vs action-layer enforcement. Most enterprises run both.
At a glance
| Capability | Vaikora | F5 AI Gateway |
|---|---|---|
| Deployment layer | App sidecar, inline SDK, hosted gateway | Network edge, L7 proxy (BIG-IP, NGINX, F5 XC) |
| Primary buyer | SecOps, GRC, AI platform team | Network and infrastructure security team |
| Open-source gateway | MIT-licensed, free forever | None (commercial-only) |
| Pre-execution policy enforcement | Deterministic, sub-500ms p95 | L7 traffic inspection with policy rules |
| Cryptographic audit chain | SHA-256, append-only | Standard logging + SIEM |
| Compliance presets | SOC 2, HIPAA, GDPR, PCI DSS, ISO 27001 | Configured per deployment |
| WAF, bot defense, DDoS | Out of scope | Native, part of the F5 stack |
| Platform requirement | None, runs standalone | Strongest with the F5 stack in place |
| Pricing | Free OSS + quote-based control plane | F5 subscription (no free tier) |
How they compare
Different layers of the stack
F5 AI Gateway sits at the network edge and inspects LLM requests and responses at L7, extending F5's BIG-IP, NGINX, and Distributed Cloud stack to AI traffic. Vaikora sits at the action layer and decides whether a proposed agent action is allowed before it executes. They are complementary, not substitutes.
Pre-execution policy enforcement
Vaikora returns a deterministic ALLOW, LOG, CONSTRAIN, or BLOCK on each action in under 500ms, with LLM-aware content modules for PII, jailbreak, injection, semantic risk, domain risk, and email classification. F5 applies L7 traffic inspection and policy rules with prompt and response inspection plus DLP.
Audit chain and compliance presets
Vaikora ships a SHA-256 append-only audit chain and presets for SOC 2, HIPAA, GDPR, PCI DSS, and ISO 27001. F5 uses standard logging and SIEM integration; named compliance presets are configured per deployment.
Open source and who runs it
Vaikora's gateway is MIT-licensed and free, owned by SecOps, GRC, or an AI-platform team. F5 AI Gateway is a commercial-only product owned by the network and infrastructure security team. Most enterprises with F5 in production run both: F5 at the edge, Vaikora at the action and audit layer.
Who each is best for
Choose Vaikora when
- An open-source, free, self-hostable gateway is preferred.
- Per-action audit receipts and replayable SHA-256 evidence are required.
- Named compliance presets are needed out of the box.
- No incumbent network platform should be assumed.
Choose F5 AI Gateway when
- F5 BIG-IP or NGINX is already in production.
- AI inspection should live inside the existing WAF, bot, and DDoS stack.
- The network and infrastructure team owns AI traffic policy.
- L7 edge inspection is the core requirement.
See Vaikora enforce policy on your stack
Open-core AI runtime control. Self-host the MIT gateway free, or run the hosted Control Plane.
Get a demo Self-host the gatewayFrequently asked questions
What is the main difference between Vaikora and F5 AI Gateway?
F5 AI Gateway inspects AI traffic at the network edge as part of the F5 stack. Vaikora enforces deterministic policy on each agent action before it executes and signs every decision into a SHA-256 audit chain. They sit at different layers.
Do I have to choose one?
No. Most enterprises with F5 in production run both: F5 AI Gateway at the network edge, Vaikora at the application and audit layer.
Does F5 AI Gateway have an open-source version?
No. F5 AI Gateway is a commercial-only product. Vaikora's gateway is MIT-licensed and free forever.
Who owns each tool?
F5 AI Gateway is typically owned by the network and infrastructure security team. Vaikora is owned by SecOps, GRC, or the AI-platform team that needs per-action governance and audit.