TLDR: SnapLogic has unveiled significant enhancements to its platform, focusing on unifying AI agent governance and accelerating legacy modernization efforts. The updates introduce new features for agent management, AI governance, open interoperability, and the SnapLogic Intelligent Modernizer (SLIM), designed to help enterprises safely scale AI, connect disparate data, and automate processes while reducing migration costs.
SnapLogic, recognized as an Agentic Integration Company, has announced a major expansion of its platform capabilities, aimed at empowering enterprises to connect data, automate processes, and safely scale artificial intelligence. These updates, revealed on November 4 and 5, 2025, are designed to unify AI agent governance and facilitate legacy modernization, marking a pivotal moment in how organizations operationalize AI.
The expanded platform introduces several key features, including new functionalities for agent management, robust AI governance, and enhanced open interoperability. A cornerstone of this expansion is the new Agent Snap feature, which provides enterprises with greater control and observability over their AI agent deployments. This allows teams to train, monitor, and refine agents while maintaining essential human oversight, a balance deemed critical for long-term adoption. Dominic Wellington, AI and data expert at SnapLogic, emphasized that this expansion signifies a turning point in enterprise AI operationalization. He stated, “Building on flexible integration capabilities that tie together the systems, apps, and data that run their businesses today, the new Agent Snap is just one example of new functionality that extends the reach of AI into those core systems in a way that is secure and governed.”
Another significant addition is the SnapLogic Intelligent Modernizer (SLIM), a tool specifically engineered to simplify the transition away from legacy systems such as Informatica PowerCenter and IBM DataStage. SLIM leverages automation and AI to analyze existing integrations, translate legacy mappings into modern, best-practice pipelines, and build comprehensive testing setups using the open-source Robot Framework. This innovative approach can reduce migration costs by as much as 80 percent, accelerating and de-risking modernization projects that were once considered impossible.
To combat the risk of ‘unmanaged AI sprawl’ and isolated AI silos, SnapLogic is also expanding its support for the Model Context Protocol (MCP) and Streamable HTTP. These open standards enhance interoperability, enabling enterprises to securely connect multiple AI agents, applications, and data sources. Wellington noted, “With every vendor and platform adding support for AI agents, the risk now is of unmanaged AI sprawl, with isolated silos of AI functionality that are not connected up with each other.”
Jeremiah Stone, CTO at SnapLogic, highlighted the importance of data readiness in the AI era. “To build a truly agentic enterprise, organizations must first get their data AI-ready,” Stone said. “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.” The platform’s AI-first approach to integration and automation aims to unify disconnected data, tools, and emerging agentic systems within a single, low-code intelligent platform, ensuring interoperability, security, and trust while transforming siloed data into AI-ready insights.
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This comprehensive platform expansion positions SnapLogic as a central nervous system for the modern enterprise, connecting, orchestrating, and governing digital workforces, and ensuring that the data they rely on is AI-ready, trusted, and accessible. The combination of agent creation, governance, and open interoperability with enterprise-grade resiliency and AI-ready data infrastructure empowers organizations to confidently navigate the agentic era, integrating humans, systems, and AI into a unified, intelligent, secure, and scalable digital workforce.
