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AI Agents in the Enterprise Ecosystem: Extending API Governance Processes
From API Governance to Operational AI Governance: how to integrate agents, APIs, and MCP servers into enterprise processes while maintaining control, accountability, and traceability.
By Felicia Marino
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Kong + ApiShare: Building a Secure Foundation for Enterprise AI
Combining secure API infrastructure and lifecycle governance to build scalable, compliant, and future-ready AI ecosystems.
By Rocco Caputo
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Article
Autonomy without governance isn't power, it's risk
The real challenge of agentic AI is not autonomy itself, but the ability to govern, trace, and understand every action performed by agents across APIs and digital services.
By Rocco Caputo
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Governance by Design: Why Governance After Publication No Longer Works
In the era of AI agents, digital product governance can no longer happen downstream. What governance by design means, why it changes everything, and how to apply it in practice.
By Maurizio Viziano
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MCP Servers: what they are, what they expose, and why governance matters.
Understanding MCP Servers and the governance challenges behind the new layer connecting AI agents to enterprise systems.
By Andrea Giacalone
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Functionalities
Before Agents, There Are Digital Products. ApiShare 2.0 and the Governance That Enables AI
Why governance must move upstream — from post-production control to design-time consistency — in an ecosystem increasingly operated by AI agents.
By Rocco Caputo
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