Boomi Delivers the Critical Infrastructure That Brings Control to Enterprise AI
Govern AI agents, optimize token spend, and mitigate security risk to operationalize AI at scale CONSHOHOCKEN, Pa. & SYDNEY — Boomi, the data activation company for AI, today announced major platform innovations designed to solve critical barriers to enterprise AI adoption. At the core of these updates is Boomi’s Agent Control Plane, AI-native infrastructure that […]
Boomi, an enterprise data activation company specializing in AI, has unveiled a suite of platform enhancements aimed at addressing the key challenges hindering the widespread adoption of enterprise AI. At the heart of these advancements lies Boomi's Agent Control Plane, a cutting-edge AI-native infrastructure that securely links AI agents to core business systems, manages agent activity through governance, and effectively manages AI costs.
This powerful infrastructure is engineered to operate seamlessly across public cloud environments, the customer's preferred cloud (Virtual Private Cloud or VPC), or on-premises setups, thereby reinforcing data sovereignty and empowering businesses with heightened operational control over their AI operations. Detailed in this press release, the innovation is coupled with multimedia content, available for further review at the provided link.
The article delves into the critical governance gap currently plaguing enterprise AI adoption, where the swift integration of agents into production has outpaced the capacity of enterprises to monitor their activities, costs, and interactions with various systems. This lag introduces a multitude of risks, including unanticipated expenses, loss of proprietary intellectual property, compliance vulnerabilities, and an opaque view of the AI activities within the organization.
Concerned by this lack of oversight, numerous firms have resorted to curtailing connectivity, which while providing a semblance of security, inadvertently throttles the AI's effectiveness by restricting its access to necessary systems and data. The article emphasizes that unrestricted access to core transactional systems (such as Salesforce, SAP, Oracle, and Workday) is essential for AI agents to deliver tangible business value.
However, granting such access without robust policy enforcement and stringent boundary controls poses a significant risk, potentially exposing critical corporate intellectual property to public models and facilitating unauthorized data leaks. This unmanaged risk is a primary reason for the stall in many AI initiatives and the lack of security auditability or financial accountability among AI agents already in deployment.
To bridge this governance gap, Boomi’s Agent Control Plane functions as a vendor- and model-neutral control point, strategically positioned between any AI agent, model, or app—regardless of whether they are constructed on Boomi, third-party, or open-source platforms—and the transactional systems that power the business. This control point offers vendor neutrality while preserving the flexibility to adapt AI strategies over time.
Boomi operationalizes AI across six pivotal business scenarios, providing a unified control point that centralizes visibility for agents and tools, scrutinizes live traffic, enforces identity and rate limits, caps token overruns and cost surges, and facilitates high-risk transactional actions under human review. The Agent Control Plane serves as the visibility layer, whereas the Boomi AI Gateway, bolstered by technology acquired from Boomi’s recent acquisition of Lunar.dev, acts as the enforcement layer, integrating MCP gateway and LLM gateway functionalities into a cohesive control solution.
Boomi’s Connect feature facilitates governed agent connectivity, exposing enterprise systems as managed communication servers and tools that compatible agents can discover and utilize, thereby enabling employees to safely integrate AI tools like Claude, ChatGPT, and Gemini. With Boomi Connect, businesses can instantaneously access over 1,000 pre-built MCP servers and tools, eliminating the necessity for custom connector development and maintenance.
Additionally, the platform offers hybrid runtime flexibility through its architecture, enabling secure execution of agents, tools, bring-your-own models, and specialized small language models within private networks and regional boundaries. This capability allows enterprises to comply with data sovereignty mandates, safeguard sensitive intellectual property within their corporate firewall, and optimize compute costs.
The article concludes by highlighting Boomi's commitment to enhancing agent precision and reducing token waste through the grounding of reasoning in business definitions and comprehensive data lineage, providing enterprises with visibility into the data provenance of AI-driven actions. Furthermore, Boomi empowers non-technical teams to create multi-system agentic workflows using natural language, offering solutions in both business and technical perspectives to ensure alignment between business and IT teams, facilitating thorough testing and review before deployment.
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