The expanded Agent Fabric platform introduces new AI-native capabilities designed to help enterprises govern autonomous digital interactions, simplify AI-driven modernization, and deploy across cloud, hybrid, and sovereign environments with greater flexibility.

“The enterprise challenge today is not simply building AI agents. It is operationalizing them responsibly at scale,” said Dr. Sanjiva Weerawarana, founder and chief executive officer of WSO2. “Organizations need infrastructure that enables them to securely govern, deploy, and scale autonomous digital interactions across the enterprise. That is the role we believe WSO2 is uniquely positioned to play.”

Trusted AI governance

WSO2 unveiled ThunderID, an open-source IAM stack for the modern era, built for agents, ready for quantum, and open by design. Originally started at WSO2, the ThunderID project will be contributed to the OpenWallet Foundation (OWF). ThunderID is a new Go-based identity runtime purpose-built for AI agents, applications, and integrated with decentralized identity. Designed with a cloud-native, GitOps-driven architecture, it enables developers to build modern, customizable authentication and authorization experiences for the next generation of digital infrastructure. ThunderID will also be post-quantum cryptography (PQC) ready, helping enterprises and governments prepare for next-generation cryptographic threats and long-term security requirements.

“We are thrilled to welcome WSO2’s ThunderID project to the OpenWallet Foundation. WSO2 is a major contributor to open source software, and this contribution marks a significant milestone in advancing interoperable digital public infrastructure,” said Daniel Goldscheider, Founder and Executive Director, OWF.

The WSO2 Identity Platform also advances its identity and access management capabilities for autonomous agents, complex B2B ecosystems, and decentralized identity models. New capabilities include delegated access, asynchronous authentication, and enhanced identity management for non-human entities, enabling secure interaction between humans, systems, and AI agents.

WSO2 expanded its WSO2 API Platform to support AI-native workloads, enabling organizations to securely expose, govern, and monetize APIs, AI services, models, prompts, and agent-accessible digital assets. New capabilities in policy enforcement, AI-aware governance, and cost visibility help enterprises prepare for agent-driven consumption while maintaining operational control.

Building on the recent beta launch of WSO2 Agent Manager, an open control plane for AI agents, WSO2 announced a partnership with LTM to support enterprise implementation, AI transformation, and agentic modernization initiatives.

“As enterprises rethink their digital foundations for the AI era, the ability to securely orchestrate applications, APIs, data, and autonomous agents becomes critical,” said Vinay Hegde, Global Practice Head – Agentic, Integration and Orchestration at LTM. “Together with WSO2, we are helping customers accelerate modernization and AI adoption with the governance, scalability, and operational resilience required for the next generation of enterprise systems,” he added.

AI-driven enterprise modernization

WSO2 introduced new AI-ready operational capabilities aimed at simplifying the configuration and governance of applications, APIs, identities, integrations, and agents. Built on declarative configuration, these capabilities enable GitOps-driven delivery and AIOps automation, helping organizations to modernize faster while reducing operational complexity.  

The company announced WSO2 Integrator 5.0, a major evolution of its integration platform that unifies integration capabilities into a single AI-augmented environment. The release includes conversational development, agent-assisted automation, and enhanced observability for GenAI workloads, helping enterprises reduce integration complexity and accelerate delivery of AI-native applications.

To help enterprises bridge the gap between AI experimentation and production deployment, WSO2 unveiled Forward Deployed Engineering (FDE), a new embedded engineering and advisory model designed to accelerate implementation of agentic architectures in complex enterprise environments.

Working directly with strategic customers, WSO2’s Forward Deployed Engineers combine expertise across API management, integration, identity, and AI systems to help organizations translate business requirements into production-grade agentic applications, APIs, and integrations. The model is designed to accelerate enterprise adoption while reducing implementation complexity across security, governance, interoperability, and operational architecture

Digital resilience: flexible deployment and open source

To further support enterprise adoption, WSO2 introduced flexible deployment environments enabling organizations to run WSO2 platforms across SaaS, private cloud, public cloud, hybrid, and on-premises environments with greater operational flexibility and consistency. The capability helps enterprises align AI and digital infrastructure deployments with evolving regulatory, sovereignty, cost, and operational requirements.

Together with the general availability of WSO2 Developer Platform for OpenChoreo 1.1, enterprises now have a unified foundation to build, deploy, and operate modern digital services and autonomous systems. Now a Cloud Native Computing Foundation (CNCF) Sandbox project, OpenChoreo reinforces WSO2’s commitment to open, vendor-neutral infrastructure for cloud-native and AI-driven systems. In April, SUSE and WSO2 partnered to launch an AI-Native Platform Engineering Stack combining SUSE Rancher Prime with OpenChoreo to simplify the secure development and operation of AI-native applications and autonomous agents.

“Enterprises have won the Kubernetes infrastructure battle, but the developer experience gap remains. By uniting SUSE Rancher Prime with the WSO2 Developer Platform for OpenChoreo, we’re delivering a production-ready, AI-native paved path from Day 1, for both human developers and AI agents, without sacrificing governance, security, or choice,” said Steve Hale, Senior Director – Global ISV Ecosystem Partners at SUSE.

Earlier this year, WSO2 also announced a strategic collaboration with the International Institute of Information Technology Bangalore (IIIT-B), through the MOSIP initiative, to advance the open-source eSignet platform and strengthen global digital identity infrastructure based on ThunderID.

Ecosystem and cloud momentum

To accelerate modernization, WSO2 has strengthened collaborations across major cloud ecosystems, including achieving ISV Accelerate status with Amazon Web Services and Cloud Solution Designation for Financial Services with Microsoft.

WSO2 was recently accepted into the AWS ISV Accelerate program, a global co-sell initiative for AWS Partners with software solutions running on or integrated with AWS. WSO2 Solutions are also available through AWS Marketplace, helping customers simplify procurement and accelerate adoption across cloud modernization and AI initiatives on AWS. This milestone strengthens WSO2’s go-to-market collaboration with AWS, enabling joint customer engagements and co-sell motions that drive faster time-to-value for enterprises modernizing their integration, identity, and API management workloads on AWS. With ISV Accelerate benefits and Marketplace availability combined, WSO2 is well-positioned to scale its cloud-native solutions alongside AWS sellers to meet growing customer demand.

For more details on WSO2’s latest platform releases:

• WSO2 Developer Platform for OpenChoreo 1.1
• WSO2 API Manager 4.7
• WSO2 Agent Manager Beta
• WSO2 Integrator 5.0
• WSO2 Identity Server 7.3

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BENGALURU: Qlik^®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced an expanded set of capabilities coming soon in its Qlik Cloud Analytics solution — equipping enterprises with tools to detect anomalies, forecast complex trends, prepare data faster, and take immediate action through embedded decision workflows.

While organizations continue to invest heavily in AI and data, most still struggle to turn insight into impact. Dashboards pile up, but real-time execution remains elusive. Only 26% of enterprises have deployed AI at scale, and fewer still have embedded it into operational workflows. The problem isn’t access to static intelligence — it’s the ability to act on it. Dashboards aren’t decision engines, and predictive models alone won’t prevent risk or drive outcomes. What businesses need is intelligence that anticipates, explains, and enables action, without added tools, delays, or friction.

“Enterprises struggle making intelligence accessible and actionable for their business users,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “Too many systems deliver insights and answers after the fact. We’re building something different: a platform where AI detects what matters, surfaces it in context, and lets you act — all within the analytics environment itself.”

With these planned launches, Qlik will be introducing a new layer of intelligence across its platform — one that doesn’t just report what’s happening, but anticipates what’s next and enables action in the moment. Discovery agent, multivariate time series forecasting, write table, and table recipe work in concert to solve a singular problem: how to move from fragmented insight to seamless execution, at scale.

These launches, along with the renaming of Qlik AutoML to Qlik Predict^TM and Qlik Application Automation to Qlik Automate^TM, reflect a broader shift toward more intuitive, outcome-driven experiences across the Qlik platform. Each capability targets a critical enterprise bottleneck — from delayed awareness to inaccurate forecasting, data prep bottlenecks to disconnected workflows — delivering a cohesive solution that closes the gap between data and decisions.

• See what others miss before it’s too late — with the discovery agent. Executives no longer need to manually track business changes or sift through data. Discovery agent continuously scans performance across applications and datasets, automatically surfacing critical risks and opportunities before they intensify. Insights are delivered through a personalized feed that clarifies what’s happening, why it matters, and suggested next steps.
• Forecast reality, not just trends — with multivariate time series forecasting. Built into Qlik Predict (formerly AutoML), this capability moves beyond single-variable projections to model the full complexity of business conditions. By analyzing relationships across interdependent variables — like pricing, campaign activity, seasonality, and economic signals — it delivers sharper forecasts that reflect real-world dynamics. The result: more confident planning, faster scenario testing, and better decisions.
• Annotate and update data live — with a write table. Write table enables users to add context to data records directly in analytics tables, with instant sync across sessions and no reloads required. This capability enhances in-context data review and lays the groundwork for governed writeback into systems like SAP, Salesforce, and Snowflake — part of Qlik’s long-term vision for integrated, action-ready analytics.
• Prep data faster with no code — using a table recipe. Table recipe provides a streamlined, spreadsheet-like experience for preparing single-table datasets — no scripting or complex modeling required. Users can clean, convert, and format data with over 60 visual functions, seeing changes in real time. It empowers non-technical users to prep high-quality data quickly, accelerating the path to reliable insights.

“We’ve spent too much time reacting to what already happened — and not enough time getting ahead of what’s next,” said Olga Garagonich, Lead Manager, Data Visualisation, BT Group. “With these new capabilities in Qlik, we’ll be able to catch issues earlier, forecast more accurately, and take action — all without disconnected workflows or delays. That’s a game-changer for how we operate.”

Together, these capabilities transform Qlik from a system of insight into a system of execution — building the foundation for what comes next in enterprise AI: decision-making that’s not just intelligent, but contextual, automated, and embedded at the point of need.

Discovery agent, multivariate time series forecasting, write table, and table recipe will be available for private preview for select customers this year. General availability will begin rolling out in phases starting in summer 2025.

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INDIA: Honeywell (Nasdaq: HON) today announced that it is working to develop an artificial intelligence (AI)-enabled Multi-Modal Intelligent Agent for Honeywell mobile devices powered by Qualcomm Technologies, Inc. The agent will allow workers and customers in the distribution center and retail industries to interact naturally with their handheld devices through voice, pictures, and barcodes.

This AI-powered solution is built to function as a digital resource for the modern labor force and is designed to enable today’s stretched workforce to quickly tap into answers and outcomes, helping result in time savings, greater accuracy, and interactive results. The design and development of the Multi-Modal Intelligent Agent also supports Honeywell’s alignment of its portfolio to three compelling megatrends, including automation.

Workers will be able to enter data into the technology and then receive practical answers to queries like, “Do we have the gluten-free variant of this product in stock?” or “Where can I find this particular item in the store?” Depending on the question, users will receive responses in the form of an image, video, spoken response, text answer, or a combination of several modalities. This functionality is designed to enable workers to more efficiently complete their work while simultaneously navigating other ongoing tasks, such as assisting customers in a retail setting or performing multi-step workflows in a distribution center. The solution will be available to users through a software development kit that can integrate with an organization’s existing applications and systems.

“Utilizing our strengths in on-device generative AI, high-performance and low power computing, this collaboration with Honeywell underscores our commitment to pioneering innovative solutions that will propel the expansion of the connected intelligent edge,” said Nakul Duggal, group general manager, of automotive, industrial and embedded IoT, and cloud computing, Qualcomm Technologies, Inc. “Honeywell’s new Multi-Modal Intelligent Agent represents a significant step forward in utilizing advanced edge AI to streamline operations and elevate customer interactions across industries. This initiative enables us to drive digital transformation, enhancing how businesses interact with their environments through intelligent and responsive technology.”

“By pairing Honeywell’s easy-to-use mobile devices and intelligent software with Qualcomm Technologies’ industry-leading edge AI processors, Honeywell is creating solutions to make workers’ jobs easier while also helping businesses produce the stellar experience they want for their customers,” said Jason Urso, Honeywell Industrial Automation chief technology officer. “With AI, Honeywell is amplifying what’s possible for businesses with mobile workers today.”

The Multi-Modal Intelligent Agent is expected to be available in early 2025. To learn more about how Honeywell is leveraging AI across key industries, visit: https://automation.honeywell.com/us/en/solutions/productivity.

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