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The path to the agentic enterprise requires a robust foundation of integrated data and secure, governable AI tools. SnapLogic has announced a major expansion of its platform capabilities, introducing new features focused on agent execution, open standards, and AI governance to help organizations safely scale digital workforces and accelerate their AI adoption.
SnapLogic announces new platform capabilities to accelerate enterprise AI adoption.
The Agent Snap provides a scalable, observable execution engine for AI agents.
Enhanced Model Context Protocol (MCP) support ensures open, multi-agent interoperability.
New Agent Governance framework delivers enterprise-grade safety and compliance.
SnapGPT enhancements use natural language as a streamlined UI for integration.
The updates aim to create a "central nervous system" for the agentic enterprise.
A key innovation is the introduction of the Agent Snap, a Snaplex-native execution engine designed for high-performance and observable agent execution. This foundation allows for human-in-the-loop oversight, enabling teams to build trust in agent performance through visibility and evaluation before granting greater autonomy. Complementing this is a new Agent Governance framework, built upon SnapLogic’s API management capabilities. This framework ensures that AI agents are securely deployed, monitored, and compliant, maintaining critical visibility into data provenance and usage.
SnapLogic is reinforcing its commitment to open standards by expanding the availability of Model Context Protocol (MCP). The new MCP Client, generally available, and upcoming OAuth 2.0 support position SnapLogic as a neutral platform for multi-agent collaboration. This commitment to protocols like MCP and A2A ensures that customers can build, connect, and scale agents across any ecosystem while maintaining seamless access to data, regardless of its location.
The platform's generative AI capability, SnapGPT, is also receiving significant enhancements. Leveraging new models, it delivers higher-quality data pipelines and introduces the foundation for "Extended Thinking," a feature that brings conversational interaction deeper into the platform. This evolution positions natural language as the new streamlined user interface, allowing both users and agents to query, refine, and activate data in real time with greater efficiency.
“To build a truly agentic enterprise, organizations must first get their data AI-ready,” said Jeremiah Stone, CTO at SnapLogic. “Our latest innovations don’t just connect systems—they create a resilient, agentic integration fabric that enables every user, system, or agent to collaborate on trusted data at enterprise scale.”
“As we embark on our use of AI across business functions, SnapLogic has been instrumental in helping us unify and prepare our data for the agentic future,” said David Holton, Chief Transformation Officer at Cambridge & Counties Bank. “It’s important for us that AI enhances our ability to give our customers more human interaction, not less, and their platform gives us the confidence to explore AI agents while maintaining the direct interactions, security, observability, and governance our enterprise and customers demand.”
By combining agent creation, governance, and open interoperability, SnapLogic aims to serve as the central nervous system for modern enterprises, empowering them to confidently connect humans, systems, and AI into a single, intelligent digital workforce.
SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale. Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely build faster, smarter, AI-connected workflows – all through natural language and intuitive low-code design.
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