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
Report · from Workiva
Artificial intelligence is transforming the enterprise, but data realities are struggling to keep up with executive ambitions. Investors are watching closely—89% are concerned about AI accuracy in disclosures.

Artificial intelligence is transforming the enterprise, but data realities are struggling to keep up with executive ambitions. Investors are watching closely—89% are concerned about AI accuracy in disclosures. The 2026 Midyear Executive Benchmark Survey explores this critical “”verification gap”” and provides a roadmap for finance, risk, and technology leaders to move forward safely.
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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.

In today’s fast-paced business environment, a reactive GRC strategy is a liability. Audit, risk, and compliance teams need the ability to uncover issues instantly and turn fragmented data into confident, audit-ready decisions.

How enterprise AI adoption is outpacing the controls meant to govern it, drawn from anonymised production traffic across hundreds of organisations using Kong AI Gateway.

A practical ebook on understanding, managing and governing enterprise AI adoption.

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.