News KrakenD 3.0 Is Here: AI Router, Semantic Cache, and On-the-Fly Stream Manipulation News KrakenD CE 3.0.3, EE 3.0.3 and EE 2.13.13 Update Released News CVE-2026-98432: Linux Kernel Flaw Exposing KrakenD on Unpatched Hosts News KrakenD Partners with Aice Global to Deliver Secure API Management in India
It must be mentioned again how speedy KrakenD folks are to responding and how helpful it is. It feels like we're working with a team that works here in Paylocity
Dannie Walker
Senior Software Engineer / Paylocity
KrakenD: AI Gateway
A unified control layer for APIs and AI workloads.
Run AI on infrastructure you already trust. No new components required.
Avoid Unnecessary Complexity
AI applications rely on APIs, but introduce new interaction patterns. Most vendors solve this by adding another gateway layer. KrakenD doesn't. It extends a production-proven gateway to handle APIs and AI workloads from the same control plane.
Multiple layers to maintain
Unified control. No additional layers.
AI control without adding new infrastructure.
KrakenD extends your existing API infrastructure to cover the full lifecycle of AI workloads. No new components, no extra network hops, no added latency. Built for platform teams that need to govern APIs and AI from a single control plane.
Route any model. No code changes.
Route requests to any model, OpenAI, Anthropic, Gemini or open source, with fallback, retries and load balancing built in.
Block threats before they reach your LLMs.
Filter prompts and responses before they reach your users or your models. Enforce content policies without touching application code.
Control AI costs at infrastructure level.
Track and limit token consumption per user, team or endpoint. Prevent runaway costs before they appear on your invoice.
Turn your APIs into AI tools in seconds.
Expose your APIs as tools for AI agents in seconds, no code changes, no new infrastructure. Apply the same policies, quotas and security you already use in KrakenD.
Why KrakenD for AI workloads
Most AI gateways are new products solving old problems. KrakenD extends infrastructure already proven in production, so teams can adopt AI without introducing untested components into their architecture. No additional network hops. No extra latency introduced by a separate AI gateway layer.
Not a new gateway built for the AI hype. Built on infrastructure already trusted in production environments, so teams can adopt AI without introducing untested components into their architecture.
Your data, your infrastructure, your rules. Deploy on-premise, on any cloud, or in air-gapped environments. No vendor lock-in, no SaaS dependency.
One set of rules for APIs and AI. Auth, rate limiting, observability and governance applied consistently across all traffic, with no duplication.
KrakenD has been processing mission-critical API traffic in production environments for nearly a decade. Not a new product built for the AI hype.
Used by global enterprises, financial institutions, and high-regulation industries where failure is not an option.
Security, availability, and confidentiality independently audited and certified. The same standards your APIs already run on, now extended for AI workloads.
The Use Case Behind the Features
Token budgets, prompt inspection, cost attribution, audit trails: these are not isolated features. They are the components of AI governance, the enforcement layer that makes your AI policy real at the infrastructure level.
If your team is dealing with shadow AI, unattributed LLM spend, or an audit that requires a vendor-independent log of every model call, the problem is not a missing feature. It is a missing enforcement layer.
For teams building AI agents, the same gateway's MCP Server exposes your existing APIs as tools without new infrastructure. See the MCP Server »
Independently Verified
G2 Fall 2026 API Management, Mid-Market segment: KrakenD Quality of Support scores 98%, the highest of any vendor in the table. 100% of implementations are done in-house with no external consultants, and customers recover their investment in 3 months.
Source: G2 Fall 2026 API Management reports. Data collected through July 28, 2026.
Walk through real-world scenarios: LLM routing across multiple providers, token budget enforcement per team, prompt security policies, and AI agent governance, all from a single config file on infrastructure you already trust.
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Unified control. No additional layers.