Speakeasy Defines Reference Architecture for the AI Control Plane
Speakeasy has published a reference architecture defining the concept of an AI control plane, announced in a press release. The framework is described as a governing layer that connects AI agents such as Claude, ChatGPT, and GitHub Copilot with enterprise systems, providing unified control over access, security, and observability.
The guide draws on input from over 50 technology executives and defines four key functions for an AI control plane. Connect brings AI agents and enterprise systems onto a single platform with integrated identity management. Control allows enforcement of executable policies that are versioned and testable. Secure inspects prompts, responses, and tool calls in real time to prevent data leakage and detect prompt injection. Observe enables measurement of adoption and outcomes by team, client, or user.
The architecture also maps the vendor landscape across identity, observability, and policy enforcement categories. It emphasizes that no single tool currently provides a complete control plane without integration across these areas. Speakeasy states it is developing within this space, beginning with the connection and identity components and expanding to include all four defined functions.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 16 BOC Group Adds AI Assistant to ADOIT 21 Oct 16 Huawei Brings Upgraded Stellar Network Solution to Europe Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 CTM and Huawei Plan AI Network Security Upgrades in Macao Oct 16 Huawei and 14 partners form Global AI CITY allianceEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read moreYou may also like
Kong outlines AI governance roadmap for Konnect
Info-Tech Blueprint Maps AI Infrastructure to Workloads
Armor Founder Calls for Governed Enterprise AI at GovWare
Arcjet Launches Runtime Security for AI Agents
The Conference Board Proposes Five Stage Framework for AI Agents
Daily AI Brief: the AI news that matters, in your inbox.