95% of AI initiatives fail. It's not the models.

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Webinar: Why API modernization is the prerequisite to full data path governance | June 30, 2026

WEBINAR

Hello there,

Enterprise AI is moving fast. Speed alone is a fast way to fail.

95% of AI initiatives go nowhere. Not because the models are wrong, but because the infrastructure underneath them is

ungoverned, fragmented, and flying blind. Custom LLM wiring slows teams down. Uncapped token consumption destroys margins. Agents acting autonomously create cascading failures. And 86% of organizations are completely blind to their AI data flows.

The root cause isn't the models. It's fragmentation. Before you can govern AI, you have to modernize the API layer underneath it. Most enterprise APIs were never designed to serve ephemeral agents making real-time decisions.

Join us for

Why API modernization is the prerequisite to full data path governance, a session that breaks down what unified governance actually means across GenAI, Agentic AI, and every layer in between.

You'll learn:

Why API modernization is the prerequisite for AI governance, and how legacy APIs and sprawl create the fragmentation that makes governing AI impossible at scale

The full AI data path, from APIs and events to LLMs, agents, context, and memory, and every control point in between

How to unify governance across token consumption, PII exposure, prompt injection, and cost under one platform

Register Now →

Best,

Amanda Alcamo,

Kong Campaigns Program Manager

API + AI Summit | Los Angeles | Sept 30 - Oct 1, 2026

Image

Kong enables the connectivity layer for the agentic era — securely connecting, governing, and monetizing APIs and AI tokens across any model or cloud.

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95% of AI initiatives fail. It's not the models.

konghq.com · newsletter

Explore this email design and adapt it to your own brand. Review the copy, links, and offer before sending.

Email content

Image

Webinar: Why API modernization is the prerequisite to full data path governance | June 30, 2026

WEBINAR

Hello there,

Enterprise AI is moving fast. Speed alone is a fast way to fail.

95% of AI initiatives go nowhere. Not because the models are wrong, but because the infrastructure underneath them is

ungoverned, fragmented, and flying blind. Custom LLM wiring slows teams down. Uncapped token consumption destroys margins. Agents acting autonomously create cascading failures. And 86% of organizations are completely blind to their AI data flows.

The root cause isn't the models. It's fragmentation. Before you can govern AI, you have to modernize the API layer underneath it. Most enterprise APIs were never designed to serve ephemeral agents making real-time decisions.

Join us for

Why API modernization is the prerequisite to full data path governance, a session that breaks down what unified governance actually means across GenAI, Agentic AI, and every layer in between.

You'll learn:

Why API modernization is the prerequisite for AI governance, and how legacy APIs and sprawl create the fragmentation that makes governing AI impossible at scale

The full AI data path, from APIs and events to LLMs, agents, context, and memory, and every control point in between

How to unify governance across token consumption, PII exposure, prompt injection, and cost under one platform

Register Now →

Best,

Amanda Alcamo,

Kong Campaigns Program Manager

API + AI Summit | Los Angeles | Sept 30 - Oct 1, 2026

Image

Kong enables the connectivity layer for the agentic era — securely connecting, governing, and monetizing APIs and AI tokens across any model or cloud.

GitHub

Meetup

X

Youtube

Privacy Policy ·

Terms of Service ·

Unsubscribe

Browse more email designs