Kong’s cover photo
Kong

Kong

Software Development

San Francisco, California 81,345 followers

The Unified API and AI Platform. Unleash Intelligence.

About us

No AI without APIs. Kong Inc., a leading developer of API and AI connectivity technologies, is building the connectivity layer for AI. Trusted by the Fortune 500 and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud.

Website
https://konghq.com/company/contact-us
Industry
Software Development
Company size
1,001-5,000 employees
Headquarters
San Francisco, California
Type
Privately Held
Specialties
API gateway, AI Gateway, API Management, LLM traffic governance, API security, Semantic Caching, API lifecycle management, multi-LLM routing, API rate limiting, token budget management, API monetization, prompt injection prevention, API traffic control, API traffic management, LLM load balancing, API observability, AI cost governance, declarative API configuration, AI observability, API developer portal, agentic AI infrastructure, model context protocol, agent-to-agent governance, A2A governance, MCP, MCP Gateway, Agent Gateway, multi-agent orchestration, AI data path security, usage-based pricing, usage metering and billing, event gateway, Kafka protocol proxy, event-driven architecture, event stream governance, service mesh, zero-trust networking, microservices connectivity, envoy-based infrastructure, Kubernetes Ingress Controller, Kubernetes Gateway API, hybrid cloud deployment, multi-cloud API management, OAuth 2.0, OIDC Authentication, SAML SSO, zero-trust security, API access control, role-based access control, RBAC, API design, API testing, API debugging, OpenAPI, AsyncAPI, and API entitlements

Locations

Employees at Kong

Updates

  • Kong reposted this

    Not enough people have realized the headless SaaS wave that's coming. Headless architecture exposes every system capability as an API, tool call, or CLI command. It decouples functionality from the UI so actions can be triggered programmatically, without a human in the loop. The shift to headless matters because systems accessible only through a UI are basically invisible to agents and become bottlenecks in any automated workflow. Early adopters like Salesforce are already rebuilding their platforms around this reality (SFDC 360). But we should also note that although API exposure is the starting point, agent-readiness also requires: (Discovery) agents need to find the right tool reliably (Scoped context) fresh, trustworthy data with appropriate access boundaries (Runtime governance) auth, rate limits, and data controls enforced at the API layer (Cost controls) agents in a loop can burn budget faster than any human (Protocol breadth) MCP, A2A, and event-driven patterns alongside REST

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  • Kong reposted this

    Live previews of your Konnect Developer Portal, straight from VS Code. We just shipped the Konnect Dev Portal Toolkit from Kong. It's a free extension that renders your MDC content in real time, right beside your editor. Your portal's actual styling, components, and branding. See what your developers will see before you ship. Component completions come from your portal's metadata, not templates. Design tokens from your portal theme flow into every page automatically. You iterate faster. You ship with confidence. Add the Konnect MCP server and hand this same loop to an AI agent. Give it a target design and it learns your component catalog, applies your desired look and feel, and iterates on the MDC using live preview URLs until it matches. Brand-consistent, validated pages without a human in the loop. The extension and MCP work independently or together. Build the workflow that fits how your team moves. https://lnkd.in/eBagSxSs

  • Kong reposted this

    ModelOp + Kong = Real policy enforcement at runtime. You own the AI portfolio. You approved the agents. Now control what they can reach. ModelOp's Enterprise AI Command Center and Kong automatically allow, restrict, or block every AI model, agent, and tool. Read all about our partnership and integration with Kong in Alex Rice's blog post here: https://lnkd.in/gd_i_QyT

    View profile for Alex Rice

    Global Partnerships & Ecosystem Strategy | Strategic Alliances | AI Governance | GTM | @ModelOp

    Thrilled to share something I've been working hard to bring to life: ModelOp and Kong are officially partners. 🎉 Here's why this matters: AI governance can't just live on paper. Approvals and policies are meaningless if they don't translate into what actually happens at runtime — at the network and API layer, where AI models, agents, and MCP tools actually connect and act. Together we can close that gap. ModelOp acts as the governance brain — evaluating risk, mapping controls, managing the AI lifecycle. Kong's AI Gateway acts as the muscle — enforcing those decisions in real time at the API edge. Approved tools get access. Unapproved or revoked tools get blocked. Automatically. No manual reconciliation between "what compliance approved" and "what the network allows." This is genuinely a hard problem to solve well.  Kong stands out because they're independent, not tucked inside a hyperscaler's stack, which means they fit into whatever environment an enterprise actually runs: hybrid, on-prem, multi-cloud. For our customers in regulated industries navigating strict security requirements, this is critical. Kong proved this model before with APIs in cloud-native software, and they're proving it again with AI — governing every request at the traffic layer so policy travels with the request instead of living somewhere else. Huge thanks to the team that made this real: My colleagues David Trier, Jim Olsen, and the incredible folks at Kong Jenny Lindsey, Claudio Acquaviva, Randi Byrne, Mia DiMucci Blank, Ken Kim — this doesn't happen without real collaboration on both sides! Full breakdown of the architecture and workflow in the blog — link in the comments. 👇 #AIGovernance #ZeroTrust #AgenticAI #APIs #ArtificialIntelligence #KongPartner #ModelOp

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  • Kong reposted this

    View organization page for Harness

    145,321 followers

    62% of enterprises have zero visibility into where their LLMs are running. That number gets scarier every quarter AI adoption speeds up. We expanded our partnership with Kong to close that gap. Harness now plugs directly into Kong AI Gateway, so every agent, MCP server, and LLM-powered service gets discovered and monitored automatically. Full rundown of what's new: https://bit.ly/4pDBfds

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  • View organization page for Kong

    81,345 followers

    This week marks a special milestone for Kong as we opened our newest office in Milan - a return to the city where our co-founders first started 🍝 It's just one part of the incredible momentum we're seeing across EMEA, which includes: 🏢 A new office in Paris, plus expanded offices in London and Budapest 📈 72% year-over-year growth in our EMEA customer base 👥 71% growth in our regional team over the past two years Check out our recent announcement to learn more about Kong's growth across EMEA: https://bit.ly/3RwZr4q

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  • View organization page for Kong

    81,345 followers

    The must-see event of the fall isn’t on the big screen. 🍿 It’s where the people building the future of AI are coming together - API + AI Summit 2026! We're bringing together the engineers, architects, and technology leaders shaping how AI moves from experimentation into production. The next chapter of AI is being written now. Don’t miss the premiere. Join us September 30–October 1 in Los Angeles. Get your ticket here: https://bit.ly/4b7qQ3D 🎟️

  • View organization page for Kong

    81,345 followers

    Who will be at Ai4 in a couple of weeks? 🙋 Stop by booth #1021 to meet the team and talk about how Kong enables builders to fully focus on building agents, and helps you control costs for all AI resource consumption and monetize agent, MCP and API access. And, if you'll be there early on Monday the 3rd for the trainings and sessions, RSVP for the workshop from Dan Temkin, Senior Technical Product Marketing Manager, "Attribute It. Govern It. Monetize It. Experience it in Action" where you'll learn how to attribute spend and turn it into realized revenue. Let us know if we'll see you there!

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  • Kong reposted this

    In many CROs, AI has already proven it can deliver value. The question now is whether the surrounding ecosystem is ready to support it. As Agentic AI takes on more responsibility – governance, integration and control become foundational, not optional. Join Persistent and Kong for a closed-door discussion on the architecture, operating models, and trust frameworks required to scale AI with confidence. Beyond the demos. Into deployment. Click here to learn more: https://lnkd.in/d6BmGurW Anand Krishnan, Sameer Dixit, Brij Gupta, Rakesh Tripathi, Gagandeep Singh Hora, Ankur Jain, Anuj Kaushal, Tushar Nawale

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  • Kong reposted this

    I've been working on workload identity for 10 years. It's broken. Most identity providers are squarely oriented (and priced) around users. Software systems are an afterthought. Workload identity and metadata is relegated to static secrets, or cumbersome secrets managers that are implemented, governed, and run by different teams. And now agents are here, and the intersection of human and machine identity has never been more critical get right - or more complex. At Kong - I've spent the last several months with one of the best engineering teams I've ever worked with building something better. Something that bridges your existing human identity providers with the the credentials, remote machine identities, registries and metadata your software systems need to operate securely and be governed reliably. Something that works accross all your IdPs, clouds, and vaults. And of course, something that integrates seamlessly with your existing API Gateways, Event Gateways and Developer Portals. Today we're announcing the foundation of this vision, Kong Identity Principals. Workload identity battle tested for real world enterprise conditions. https://lnkd.in/gkuKA53v Give it a try, and let me know what you think!

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