Enterprise Account Executive

Okta unveils new framework to manage AI agents and upcoming Okta for AI Agents platform. Identity access management company Okta Inc. today announced a new framework designed to help organizations secure the growing use of artificial intelligence agents inside enterprise environments, alongside providing details of a forthcoming platform called Okta for AI Agents that aims to implement the model in practice. The new framework, described as a blueprint for the secure agentic enterprise, is designed to help organizations answer three foundational questions as AI agents become more widely deployed: where agents are running, what systems they can connect to and what actions they can perform. "AI agents are evolving faster than any software before them, making traditional security models obsolete," explains Ric Smith, president of products and technology at Okta. "With this new blueprint, Okta is establishing the industry standard for the secure agentic enterprise." With the blueprint, organizations first need to identify and inventory every agent operating in their environment, including unofficial or shadow agents created by employees using external tools. To support that goal, Okta is expanding its Universal Directory so that AI agents can be registered as nonhuman identities with defined ownership and lifecycle management. The framework emphasizes centralized control over the resources that agents can access through features such as an agent gateway and application programming interface access management. The blueprint also focuses on governing what agents are actually allowed to do once connected to enterprise systems. Okta's platform logs agent activity, including tool usage and authorization decisions, to allow organizations to monitor behavior and detect anomalies. If an agent deviates from its intended task or accesses sensitive data unexpectedly, organizations can immediately revoke its permissions using a universal logout mechanism designed to act as a centralized kill switch. Okta for AI Agents, which will become generally available on April 30, uses the framework announced today to provide the operational capabilities needed to enforce controls. The platform will allow organizations to discover and register AI agents, manage their access to enterprise systems and revoke that access if an agent behaves unexpectedly. The platform is designed to integrate with existing enterprise agent development and orchestration platforms. Okta for AI Agents will also include tools designed to detect unauthorized shadow agents created by employees connecting third-party AI tools to enterprise systems. Using the service, security teams will be able to identify those agents, evaluate their permissions and apply baseline governance controls. To support Okta for AI Agents, Okta is also expanding its Okta Integration Network, which currently includes more than 8,000 integrations, to support AI agent platforms such as those from Boomi Inc. and DataRobot In. The integrations will allow organizations to register AI agents as governed identities, assign human ownership and apply centralized access policies. "Securing the agentic enterprise will require industry-wide collaboration," said Carl Siva, chief information security officer at Boomi. "By combining Boomi's expertise in agentic connectivity and modern integration with Okta's identity leadership, we are delivering a unified security and governance layer that helps organizations harden their security posture while maintaining auditable visibility into every agent's actions." Okta argues that treating AI agents as first-class identities will become essential as enterprises increasingly deploy autonomous software capable of executing workflows, accessing sensitive data and interacting with multiple applications without direct human oversight. Image: Okta. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. 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Boomi unveils new capabilities within Enterprise Platform. Boomi announced new capabilities within the Boomi Enterprise Platform, including new semantic context to help AI agents operate on grounded business realities. It has also expanded governed SAP data movement with change data capture, enhanced transparency and oversight across agentic workflows, and unveiled a dedicated European platform instance for localised data control. Steve Lucas, chairman and CEO at Boomi, said: "Organisations don't need more pilots, they need action-ready data. With these innovations, we're providing the infrastructure to put data in motion, ensuring agents are grounded in context, and every action is governed with precision." Boomi Enterprise Platform. * Boomi Meta Hub - Extends trusted data context across the AI ecosystem with a central record system, aligning data standards so AI agents and humans operate on consistent business logic. * European Platform Instance - Ensures customer data and runtime execution comply with GDPR by remaining within European boundaries. * Real-Time Extraction-The Boomi for SAP Data Connector automates real-time data extraction, providing critical SAP data without custom development. * Agentic Intelligence governance- Introduces governance for Snowflake Cortex Agents in Boomi AgentStudio, offering visibility into AI workflows and monitoring agent usage through new session logs and observability metrics for over 30 custom providers. * Enterprise Adoption of Agentic Workflows - Offers AI Agent Recommendations for integrating intelligent agents, highlighting effective design patterns for enterprise-scale automation. Live poll. Which factor will most influence GenAI projects?

Introducing Boomi Meta Hub: grounding AI agents in business context. Published Mar 10, 2026 The double-edged sword: the age of agentic AI vs. Inefficient agents. Welcome to the age of agentic AI. As organizations transition from simple horizontal chatbots to transformative vertical use cases, the promise of autonomous AI has never been higher. According to PwC's AI agent survey, 79% of organizations report they have already adopted AI agents, and industry forecasts predict a staggering 1.3 billion AI agents will be deployed globally by 2028. Yet, most of these initiatives remain stalled. According to recent research from McKinsey & Co., 90% of AI use cases are stuck in pilots due to a lack of enterprise readiness. Why? Because without access to native, in-workflow endorsed business context and a unified semantic layer, organizations suffer from a massive "tribal knowledge tax," where critical business definitions are trapped in undocumented silos and shadow spreadsheets, slowing time-to-market and inflating project costs. When AI agents attempt to execute workflows using this fragmented metadata, they hit a "reasoning wall." Lacking proprietary semantic memory, they are forced to make context-free guesses, leading to dangerous hallucinations - like erroneously approving a refund outside the organization's refund policy. Ultimately, if agents are not grounded in endorsed business rules and guardrails, this unreliable autonomy fails to deliver a positive business impact. Enter Boomi Meta Hub. To solve this, Boomi, LP. is thrilled to announce the launch of Boomi Meta Hub. Boomi Meta Hub addresses the AI reasoning wall by grounding agents in your specific business context. By serving as the central system of record for expert-endorsed glossaries, Meta Hub provides AI agents with the rich metadata context they need to operate with precision, accuracy, and trust. Crucially, Meta Hub also eliminates the friction and latency of "context switching" to third-party catalogs by providing native, in-workflow metadata directly within the Boomi Enterprise Platform. Context example: one definition | three outcomes. Let's look at what no context actually means: imagine you tell an agent to pull a list of "Active Customers". The Americas sales team defines that as an account with over $10K ARR. EMEA operations says it's anyone with a transaction in the last 90 days. APAC finance says it's accounts with paid invoices in the current quarter. That is one business term that would trigger three different outcomes when used within workflows. If the agent doesn't know which definition to use, it guesses - and your autonomous solution breaks. The era of Context Engineering. The industry is rapidly recognizing that data access alone isn't enough - AI needs precise, endorsed meaning. This is where Context Engineering comes into effect. Highlighting the need for this approach, Kevin Petrie of BARC defines context engineering as: "The discipline of ensuring that for any given task, GenAI/ML models and agents are provided with the precise, trustworthy, and permissible information they need to perform correctly and securely." This need for context within agentic solutions is crucial. IDC predicts that by 2027, 80% of agentic AI use cases will require real-time, contextual, and ubiquitous data access, forcing a majority of G2000 organizations to transform data models from a gatekeeper to a federated approach. Boomi Meta Hub actively enables context engineering by linking technical assets to endorsed business glossaries and metadata, delivering this curated context directly into AI agents to drastically improve accuracy and operational efficiency. Key features that establish semantic intelligence. Boomi Meta Hub offers a suite of features designed to bridge the contextual disconnect between your data and your agentic AI: * Instant Business Glossaries Curation: Users can create a central library of curated, rich, document-like business glossaries for different data assets. Leveraging AI Suggest to instantly generate a business glossary helps establish a unified layer of semantic intelligence across the entire Boomi platform. * Expert Endorsement & Collaboration: Data is only valuable if it is trusted. Boomi Meta Hub allows experts to manage the lifecycle of business definitions, formally endorsing glossaries through collaboration to build a trusted system of record. Meta Hub certifies agent decisions using this endorsement workflow, ensuring that important interventions are done with confidence using up-to-date business definitions. * Semantic Association: Organizations can directly associate glossaries to technical assets and agents, ensuring both are governed by business meaning. This allows agents to use simple lookups to fetch the most up-to-date rules directly from the business glossary, eliminating the need for hard-coded, static instructions. * Universal Lineage: Targeting a future release, this feature will provide end-to-end mapping of data flows. This will allow users and agents to understand the downstream impacts before modifying fields or integrations, eliminating technical blind spots. Join the early access program today. Boomi Meta Hub is currently available through an early access program. This program provides early adopters with hands-on access to existing features while helping to shape future enhancements through feedback. Are you ready to ground your agents in business reality? * AI agent survey: PwC (79% of organizations report they have already adopted AI agents) * Microsoft Agent 365: The control plane for AI agents | Microsoft 365 Blog (1.3 billion AI agents will be deployed globally by 2028) * https://www.mckinsey.com/capabilities/quantumblack/its-insights/seizing-the-agentic-ai-advantage (According to a recent McKinsey & Co research, 90% of AI use cases are stuck in pilots due to a lack of enterprise readiness.) * By 2027, 80% of agentic AI use cases will require real-time, contextual, and ubiquitous data access (IDC) On this page. Evaluating API Management solutions? Look no further. Boomi Named a Leader in the 2025 Gartner(R) Magic Quadrant(TM) for API Management Stay in touch with Boomi. Get the latest insights, product updates, news and more directly to your inbox. By providing my contact information, I authorize Boomi to provide occasional updates about products and solutions. 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