Everyone is running AI. Almost nobody is governing it.
Kong, F5, Workiva and Snowflake each published AI research in the past two months. Read side by side, they describe the same gap.
TechPulse Research Desk
Case study · from Kong
A practical ebook on understanding, managing and governing enterprise AI adoption.

AI Governance in Action: A Strategic Guide is a practical ebook designed to help organizations understand, manage, and govern enterprise AI adoption. Using the fictional Kong Air case study, the guide explores real-world approaches to AI discovery, risk classification, semantic guardrails, data protection, AI transparency, monitoring, and compliance.
Learn how to move from shadow AI and limited visibility to a structured AI governance framework-with practical strategies for identifying AI usage, protecting sensitive data, enforcing guardrails, and building processes that support responsible AI adoption.
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Our take
Kong, F5, Workiva and Snowflake each published AI research in the past two months. Read side by side, they describe the same gap.
TechPulse Research Desk

Building AI governance one policy at a time invites gaps—and by the time you find them, the damage is done. A more effective path is to start deliberately, prove value quickly, and scale from there.

Where can AI create meaningful value—and where does it introduce more risk than benefit? The answer depends on the activity.

The pressure to adopt AI is immense, but rushing deployment without measuring your organization’s true readiness is a recipe for governance failure and unchecked risk.