Boomi positions AI governance as competitive edge with Agent Control Tower and strategic alliances

Agent governance in focus for the Boomi-AWS alliance - SiliconANGLE

Boomi and AWS built the guardrails for agents before anyone was asking for them Agent governance has gone from niche concern to boardroom prerequisite -- and the enterprises that saw it coming are now pulling ahead. The rise of agentic AI across enterprise operations has made governance infrastructure not just a compliance consideration but a competitive advantage for unlocking real return on investment. Boomi LP, which began as an integration-platform-as-a-service company before evolving into a broader AI orchestration platform, wagered early that control would matter as much as raw capability, according to Ann Maya (pictured, left), global head of strategic projects and EMEA chief technology officer at Boomi. "We were way ahead of the curve in AI," Maya said. "Last year we released Agent Control Tower. We got into the governance game super early. Maybe there were some people going, 'Why do you need that?' Now, everybody is asking for some level of governance." Maya and Nicole Bradley (right), principal account executive at Amazon Web Services Inc., spoke with theCUBE's John Furrier and Gemma Allen at Boomi World 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed agent governance, the Boomi-AWS alliance and the evolution of the enterprise builder persona. (* Disclosure below.) The Boomi-AWS alliance reflects a broader industry recognition that no single company can provide every answer as agentic workloads scale across hybrid and multicloud environments. The collaboration, which integrates Amazon Bedrock with Boomi's Agent Control Tower, gives enterprises a centralized management solution for agent governance wherever they run, Bradley noted. "We have to be able to respond and support them where they are," Bradley said, referring to enterprise customers spread across multicloud environments. "Where we can't or don't today, we can say, 'Hey, Boomi, you can come in and help support them maybe because they're on multicloud or hybrid.' The partnership with Boomi really allows us to support that." Boomi's architectural focus on a patented, cloud-native runtime -- one that can transact and transform data anywhere, including inside a customer's own firewall -- is now paying dividends in the agentic era. The same infrastructure underpinning Boomi's integration capabilities now supports domain-specific language model deployment and agent execution within sovereign environments -- a capability under active development through a European platform instance built in the U.K. to address data sovereignty requirements from financial institutions on both sides of the Atlantic, Maya explained. "If you think about what's the most valuable thing in an organization -- it's data, it's their data, it's how they create their competitive moat. That data is now being thrown all over the place," Maya said. "What Boomi is saying is, 'How can we use this beautiful architecture to serve customers who want to host their own small language model or domain-specific language model within their own VPN or their own firewall?' Our next-gen runtime is going to enable that to happen, and very soon we'll be able to offer the ability to run agents in those runtimes, too." The practical result of that control-first philosophy is visible in Boomi Connect, a recently released product that allows any user -- developer or business domain expert -- to build and connect agents using centrally managed credentials and access controls. The offering is based on governance by design, enabling the kind of fast, democratized agent building that shadow IT once enabled for cloud, but with the guardrails that enterprise risk teams actually require, according to Maya. "To have that comfort and security of unlocking your AI potential -- activating your data with AI -- you have to think about how can [you] control it," Maya said. "Going forward into the future, you're just letting it loose, but making sure you can control it." Here's the complete video interview, part of SiliconANGLE's and theCUBE's coverage of Boomi World 2026:

Liquid data and shift to headless enterprise architecture - SiliconANGLE

The headless enterprise has arrived: theCUBE's Boomi World day two keynote analysis The enterprise is reaching an inflection point as AI agents move from experiment to operational reality, forcing a rethink of how data flows, governance gets built and platforms evolve to serve a headless future. At the center of that rethink is liquid data -- the fluid, low-latency movement of governed data between agents across the enterprise -- and the infrastructure required to make it work at scale. Day two of Boomi World 2026 brought that transition into focus, with Boomi LP shifting from presenting a strategic vision to focusing on product substance. As Boomi has steadily transitioned from its integration-platform-as-a-service roots into a full agentic enterprise platform, its positioning is arriving at exactly the moment AI and agents are colliding with the need for governed, enterprise-grade data infrastructure, according to John Furrier (pictured, right), co-founder and CEO of SiliconANGLE Media Inc. "What [Boomi has] built is a governed data-to-agent platform," Furrier said. "What that means is data and agents will talk natively, [with] very fast latency, and that's gonna happen very much across the entire enterprise. You have got to have the governed version of that, so they're building the governance into that paradigm." Furrier spoke with Gemma Allen (left) as part of a day two keynote analysis at Boomi World 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed Boomi's headless enterprise strategy, the liquid data opportunity and the governance framework underpinning the company's agentic platform push. (* Disclosure below.) The day two product keynote underscored how the "headless enterprise" concept is becoming one of the defining architectural bets in enterprise software. Boomi's case is that the shift toward an agentic enterprise -- where AI agents dynamically interact with systems without traditional application interfaces -- demands a native governance layer baked into the platform itself, not bolted on after the fact, Furrier noted. The e-commerce playbook is a reference point -- Shopify's headless model gave merchants infrastructure without dictating the front end, but the presentation will likely be different for the enterprise. "In the enterprise, I look at 'headless' more as an interface to the end user. With AI, you're seeing user experience change with prompts ... so there's gonna be a diversity of [interaction] points," Furrier said. "From a personal standpoint, that's going to be tailored for every user." Demos of Boomi's Agent Control Tower made the human oversight layer tangible. The governance framework addresses a key concern heading into the headless era: the question as to what happens to human accountability when agents are running business processes at speed, Allen explained. The answer from Boomi's keynote was front and center -- kill switches and audit trails are built into the architecture, not optional add-ons. Now, Boomi's decade-long platform build -- from integration to automation to agentic infrastructure -- resembles a compounding investment converging with a market ready for it, according to Furrier. "It's not just the classic cliché of tech meets business," Furrier said. "It's really an absolute intersection." Here's the complete video interview, part of SiliconANGLE's and theCUBE's coverage of Boomi World 2026:

Data activation in the age of agentic AI - SiliconANGLE

Boomi CEO: The agents are ready, but the enterprise data foundation beneath them might not be Somewhere inside every large company, there is a long list of AI pilots -- promising, applauded, then quietly shelved. The culprit, more often than not, is a data activation failure. The gap between AI ambition and enterprise reality is widening as organizations struggle with legacy systems and shadow AI building inside every business function. Boomi LP has positioned itself squarely in the center of that gap, framing data activation -- getting the right data to the right systems at machine speed -- as the unglamorous prerequisite that makes agentic AI viable in production, according to Boomi Chief Executive Officer Steve Lucas (pictured). "Last year we were talking about AI agents -- and honestly, the year before that as well," Lucas said. "This year, the agents aren't coming. They're here. AI is starting to become not just a pervasive conversation in the enterprise -- it is being deployed. It is real. We're starting to see real ROI coming from AI and agents in enterprise processes, integrations and automations." Lucas spoke with theCUBE's John Furrier and Gemma Allen at Boomi World 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed data activation, AI governance, the future of the enterprise builder persona and Boomi's strategy for harnessing AI at scale. (* Disclosure below.) The path to AI readiness starts long before any model is selected. Fragmented data pipelines, mainframe dependencies and decades of legacy enterprise resource planning systems remain serious obstacles to the fluid, real-time data flows that agents require, Lucas noted. "You've got to get your arms around your data," he said. "'Where is it? Is it of quality? Can I deliver it in real time?' If you are struggling to deliver data to human intelligence in real time with quality, how do you think that's going to play out for AI that operates thousands of times faster?" But data readiness is only part of the equation -- the harder work is orchestrating agents as they develop skills over time and deploying them against specific, domain-validated workflows, Lucas explained. Real-world results are emerging: Lexitas, a Chronicle Bidco Inc. company, has automated nearly 50% of its highly regulated payment processing through AI agents on the Boomi platform, with zero human involvement and oversight flowing through Boomi's governance plane, he noted. A second customer, Multiquip Inc., has automated roughly 80% of technician support queries through agents, eliminating the need to manually search thousands of product manuals. Examples such as these point to a maturation curve moving faster than most expect. "The first thing that organizations want is domain-specific AI, not generalized AI. If I'm a healthcare organization, I want HIPAA-compliant, healthcare-specific, domain-specific AI. Number two [is] they want to understand, 'How does this plug into my business process?'" he said. "We're gonna go from generalized ROI to domain-specific ROI -- very quickly." To support containerized, model-agnostic deployment at scale, Boomi this week announced a strategic collaboration with Red Hat Inc. to deliver a single integrated stack for agentic AI -- pairing Boomi's Agentstudio with Red Hat AI so organizations can run open-weight models privately rather than exposing enterprise data to frontier model providers, Lucas explained. The logic is straightforward: Model choice is not a differentiator -- control is. "Which AI model is right for your company? The answer is all of them," he said. "If all of the models are the right answer, how do I harness those? How do I containerize them? Having that container with our runtime, with those models, now you can privatize AI, you can build your data geometry -- your graph that is unique to your company -- not help somebody else build their trillion-dollar company." Here's the complete video interview, part of SiliconANGLE's and theCUBE's coverage of Boomi World 2026:

Boomi And Couchbase Partner To Power Enterprise AI Agents With Trusted Recollect...

Boomi, the data activation company for AI, and Couchbase, Inc., the operational data platform for AI, today announced a partnership through which the two companies are collaborating closely to accelerate AI pilots to production. The companies will co-engineer solutions that give customers a production-ready foundation for agentic AI, combining Boomi's connectivity, runtime, and governance for AI agents with Couchbase's scalable recollection and vector capabilities. Enterprises deploying AI agents today face a common challenge: while agents perform well in pilots, they struggle to scale due to inconsistent access to trusted context, recollection, and real-time business data. Lack of governance, auditability, and operational control drives up compute costs while diminishing productivity and revenue. "2026 is the year organisations move from AI experimentation to activation at scale," said Ed Macosky, Chief Product and Technology Officer, Boomi. "The challenge isn't building agents, it's giving them the data, memory, and governance they need to operate in real enterprise environments. By partnering with Couchbase, we're delivering a unified foundation that enables AI to run securely, efficiently, and at scale, with the trust and control our customers expect." AI systems remain difficult to govern, audit, and operationalise across the enterprise. Together, Boomi and Couchbase are addressing this challenge by enabling AI agents to operate on live, trusted enterprise data, maintain context across interactions, and execute with the governance and control required for production environments. The partnership between Boomi and Couchbase brings together two highly complementary platforms to deliver a unified foundation for enterprise AI. Boomi provides the active data foundation, enabling integration across hundreds of applications, APIs, and data sources, along with agent lifecycle management through Boomi Agentstudio and universal governance via the Agent Control Tower. Couchbase delivers the operational data foundation, supporting real-time data access, trusted recollection, and semantic and hybrid retrieval within a single, high-performance platform. Together, these capabilities enable enterprises to build AI agents that can reason over real business data, retain context, and operate securely across the systems that run the business. "Customers are looking to drive revenue growth, operational efficiency, and competitive advantage through agentic applications," said Barry Morris, Chief Product and Strategy Officer, Couchbase. "They have obtained the availability, distributed scale, and performance that Couchbase has delivered in mission-critical environments for more than a decade, and are now looking to deploy agentic applications that exploit that foundation. Together with Boomi, we're delivering trusted data access, recollection, and enterprise-grade governance, making it easier for organisations to operationalise AI across the business." The partnership delivers the following critical outcomes for enterprises building and operating AI agents: For the enterprises already running more than 90,000 AI agents in production on the Boomi Enterprise Platform and the thousands more preparing for deployment, this partnership enables agents to maintain persistent context and retrieve the right business information in milliseconds. Agents now operate under the same rigorous governance, observability, and audit controls customers already trust for their mission-critical integrations. This collaboration directly addresses the data activation challenge: the reality that AI only delivers real business value when agents can operate on action-ready data, with trust and control built in.

Boomi And Red Hat Team Up To Deliver Production-Ready Agentic AI

Boomi, the data activation company for AI, and Red Hat, the world's leading provider of open source solutions, today announced a strategic collaboration to deliver a single, integrated stack for deploying agentic AI at scale. For many organisations, building production AI today means assembling numerous disconnected vendor choices spanning agent builders, orchestration tools, governance platforms, model providers, integration middleware, and security infrastructure, which can lead to data leaks and unpredictable costs. Boomi and Red Hat are working together to simplify AI innovation for customers by bringing together Boomi's Agentstudio with the enterprise-grade power of Red Hat AI. This makes it easier for organisations to build agents that solve real business problems while supporting corporate standards for sovereignty, infrastructure flexibility, and performance reliability. Together, Boomi and Red Hat are collaborating to deliver an integrated solution designed to simplify how organisations operationalise AI by: · Activating AI with real-time, trusted enterprise data: Boomi Agentstudio connects AI agents directly to live, trusted data across every application, system, and process the business runs on, moving beyond demo data or sample workflows. · Extending trusted AI operations across complex workflows: Boomi Agent Control Tower and Boomi's Gateway establish deterministic guardrails to help enforce policy, and are designed to provide visibility into agent actions. Boomi's orchestration layer coordinates agents to mitigate rogue execution and cost leakage, while Red Hat AI's open source foundation and application observability services help deliver continuous governance and trust. · Running and optimising AI performance and cost at scale: Red Hat AI provides an integrated AI fabric with a Kubernetes-native runtime for high-performance inferencing; security-optimised agents; and integrated AI governance; deployable across hybrid cloud environments, including sovereign data centres. Furthermore, Boomi's intelligent model router is designed to optimise costs by assigning agent prompts to the right model in real time based on task complexity and data sensitivity. "Every enterprise leader I talk to is asking the same question: how do I get real AI ROI without losing control of my data, my security posture, or my budget?" said Steve Lucas, Chairman and CEO at Boomi. "The answer isn't stitching together dozens of vendors; it's having a unified platform. With Red Hat, we're giving organisations the ability to activate their data, orchestrate AI across the business, and run it with enhanced security in their own environment at a cost that makes AI viable at scale." "The next era of the enterprise will be defined by those who can move AI from a centralised experiment to a distributed business reality," said Mike Ferris, said Chief Strategy Officer and Chief Operations Officer at Red Hat. "By combining Red Hat's enterprise open source AI foundation with Boomi's agentic orchestration, we are helping organisations with the architectural sovereignty to lead in AI without compromising their data, their costs, or their future autonomy." By combining Boomi's active data foundation with Red Hat's open hybrid cloud capabilities, organisations can replace fragmented systems and tools with a unified foundation that helps reduce complexity and lower operational costs. This approach is designed to support data sovereignty by keeping enterprise data within controlled environments, helping enterprises move beyond AI pilots toward production-ready systems that can scale. Join the Boomi World keynotes live in Chicago on LinkedIn to hear the latest from Boomi executives, customers, and partners:

Boomi Unveils Innovations That Power The Agentic Enterprise

Boomi, the data activation company for AI, today announced a major expansion of the Boomi Enterprise Platform at Boomi World 2026, introducing new capabilities across orchestrated agentic workflows, agentic engineering, governed agent connectivity, grounded agent context, and localised agent infrastructure. Together, these innovations are designed to power the agentic enterprise -- where agents and humans work together to drive action and operationalise AI at scale. The enterprise has reached a defining moment as AI becomes the primary interface for work and MCP emerges as the new standard. While the shift toward a headless, agentic enterprise is inevitable, this vision is colliding with skyrocketing cloud costs and trapped data. For many, layering agents onto a fragmented landscape only magnifies governance gaps and operational risk. Boomi addresses these challenges with an active data foundation that connects, governs, and orchestrates every layer of the business. By unifying IT, developers, knowledge workers, and AI agents, Boomi provides the secure and trusted foundation required to operate wherever business happens. "Every enterprise transformation has a platform moment. For agentic AI, that moment is now," said Ed Macosky, Chief Product and Technology Officer at Boomi. "Customers don't need more disconnected tools, they need an active data foundation that connects data, orchestrates workflows, and governs AI for people and agents. With these new innovations, we're extending the Boomi Enterprise Platform to make that foundation a reality." As enterprises accelerate AI adoption, many are encountering challenges in scaling beyond initial use cases due to fragmented systems and lack of operational infrastructure. To address this, Boomi introduced new capabilities across five core areas: · Boomi Connect Provides secure, governed connectivity between AI tools (e.g. Claude, Copilot, Gemini) and enterprise applications through 1000+ managed, MCP-enabled tools. Boomi AI Gateway enables built-in policy enforcement, cost controls, and observability. · MCP Registry Scale AI with control through a centralised catalog to discover, govern, and manage MCP servers across Boomi and third-party registries. · Boomi Orchestrate Helps customers turn business ideas into enterprise-grade agentic workflows faster. Business and IT teams are empowered to combine agents, APIs, integrations, event streams, and data models into one universal orchestration experience using natural language. · Agent SIM (Labs Innovation preview) Allows organisations to simulate and validate agent behavior before deployment, increasing confidence and reducing operational risk. · Boomi Companion Accelerate agentic engineering on the Boomi platform. Developers can now design, build, test, deploy, and diagnose integrations through natural language using their preferred AI tools. · Embedding Agentstudio Agents Activate agents where your team works with new APIs and embedding capabilities. Developers can invoke Boomi agents from any architecture or pipeline, while non-technical users can securely surface them within custom apps, portals, and digital experiences. · Boomi Knowledge Hub Eliminate knowledge silos and deliver accurate, governed search and retrieval across your enterprise. A single, unified context layer ensures AI agents and people always work from trusted, up-to-date information. · Boomi Meta Hub Ground AI agents and people in trusted, expert-endorsed business definitions improving agent accuracy, eliminating fragmented interpretations, and ensuring consistent business logic at scale. · Distributed Agent Runtime Reduce cloud latency and control costs by deploying agents on-premises while keeping sensitive data behind the firewall. This approach supports data privacy and infrastructure control through locally-hosted runtimes and language models. · Agentstudio Multi-region Instances Scale agents globally and confidently by leaving agent metadata and runtime execution in specified regions, enforcing AI boundaries and regional compliance. Together, these innovations position Boomi as the orchestration and governance layer for the headless enterprise -- where AI agents dynamically interact with enterprise systems without relying on traditional application interfaces. By combining integration, automation, API management, data readiness, and agent governance into a single platform, Boomi enables organisations to activate trusted data across the enterprise, orchestrate workflows spanning humans and AI agents, govern execution in real time, and scale AI with confidence. "Through our participation in Boomi's design partner program, we've had early exposure to Boomi Orchestrate and its potential to simplify how we design and execute complex workflows," said Venkata Kalikrishna Chekka, Senior Manager, Enterprise Integration Solutions at Suffolk. "The ability to bring together integrations, APIs, and emerging AI-driven capabilities into a unified orchestration layer is a meaningful step forward. It gives us a more flexible foundation to streamline operations and explore how agent-driven processes can drive greater efficiency across the business." "The market is rapidly shifting toward platforms that can support not just connectivity, but governed execution across AI-driven workflows," said Alexander Wurm, Principal Analyst, Nucleus. "As enterprises move beyond experimentation, the ability to orchestrate data, APIs, and agents within a unified architecture is becoming a critical requirement for scaling AI." "We're entering the next phase of enterprise AI, where success won't be defined by how many agents you deploy, but by how well they are connected, governed, and grounded in trusted data," said Steve Lucas, Chairman and CEO at Boomi. "With more than 30,000 customers and AI guided by hundreds of millions of integrations, we're helping organisations move from connected and automated to fully agentic, and turn AI into real operational impact." Product availability and timing may vary and are subject to change. · Read the Boomi blog for more details on this announcement and what it means for enterprises Join the Boomi World keynotes live in Chicago on LinkedIn to hear the latest from Boomi executives, customers, and partners: