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
Artificial Intelligence
Models in production, the infrastructure under them, and the governance that hasn’t caught up yet.
6 resources · 2 articles · 2 partners
What we think
The data platform reading list, autumn 2026
Snowflake and Databricks shipped six long guides between them this quarter. Here is who should read which.
TechPulse Insider Newsroom
What partners published
All resources in this category →Report
The State of AI Governance
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.
KongAI
Case study
AI Governance in Action
A practical ebook on understanding, managing and governing enterprise AI adoption.
KongAI
Toolkit
AI Governance Toolkit
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.
WorkivaAI
Toolkit
Is Your Audit Testing Ready for AI Automation?
Where can AI create meaningful value—and where does it introduce more risk than benefit? The answer depends on the activity.
WorkivaAI
Toolkit
How ready is your organization for AI? But really?
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.
WorkivaAI
Report
2026 MidYear Executive Benchmark Survey: The Verification Gap
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.
WorkivaAI