Partnership to Accelerate Secure AI Deployment, Introduction of New Agentic Modernization, and more

IBM Partners with OpenAI to Accelerate Secure AI Deployment for Enterprises Across Core Operations

IBM has announced a strategic partnership with OpenAI to help enterprises deploy AI at scale across core operations and complex workflows while strengthening cybersecurity and resilience through initiatives such as OpenAI Daybreak. The companies will pursue joint go-to-market efforts and develop industry-specific solutions for financial services, government, telecommunications and retail, as well as functions including finance, procurement, customer operations and HR.

The partnership will integrate OpenAI models, including GPT-5.6, and products such as Codex and ChatGPT Work into IBM Consulting Advantage, combining AI agents, industry assets and cybersecurity capabilities. IBM will also deploy specialized engineers and consultants trained through the OpenAI Partner Network and establish a dedicated OpenAI Practice with thousands of certified professionals. Together, the companies aim to help organizations modernize fragmented processes and legacy systems and securely apply AI across complex and highly regulated environments.

The partnership will focus on three key areas:



Transforming legacy operations into AI-ready workflows
IBM will embed OpenAI frontier models like GPT-5.6 and products like Codex and ChatGPT Work into IBM Consulting Advantage, to help organizations integrate AI into daily processes with business context and redesign workflows across finance, procurement, customer operations, and HR. The capabilities within IBM Consulting Advantage can analyze operating procedures and workflows to identify inefficiencies and help teams automate and streamline work using AI.

Application modernization and product development
The companies plan to help clients modernize legacy applications and accelerate software development by bringing together OpenAI Codex and ChatGPT Work with IBM’s industry, technology and domain expertise, including integration with IBM Consulting Advantage. The collaboration is designed to help organizations simplify engineering processes and speed the delivery of new digital products and services.



Cybersecurity and AI risk management
IBM and OpenAI will expand their collaboration on cybersecurity following IBM’s participation in the OpenAI Daybreak Cyber Partner Program by combining OpenAI frontier AI capabilities with IBM Autonomous Security — a multi-agent-powered service designed to deliver coordinated decision-making, response, and intelligence at machine speed. As AI-powered attacks grow more sophisticated, the partnership will help clients manage both cyber and AI model risk, including application-layer vulnerabilities, governance gaps, and operational risks that limits AI adoption.  

“While enterprises are rapidly investing in AI, they are looking for practical ways to apply it across their core operations to deliver measurable business outcomes and create new commercial models,” said Andy Baldwin, Global Senior Vice President, IBM Consulting. “By embedding OpenAI’s technology with IBM Consulting’s AI assets, industry solutions, and cybersecurity capabilities, we can help clients accelerate secure, AI deployments at scale.”



“The organizations pulling ahead with AI are the ones turning it into a trusted part of how their business operates,” said Denise Dresser, Chief Revenue Officer at OpenAI. “IBM Consulting and OpenAI are helping organizations make that shift, combining deep transformation expertise to deploy AI that is secure, operational, and aligned with real business priorities.”

As part of the collaboration, IBM will join OpenAI’s Elite partner tier, reflecting the companies’ shared focus on delivering secure, enterprise-ready AI at scale.


Source: IBM

Kyndryl Introduces New Agentic Modernization Services-As-Software Scaled Through Kyndryl Bridge

Kyndryl has introduced its Agentic Modernization services-as-software, which is built using the Kyndryl Agentic AI Framework and is scaled through Kyndryl Bridge. Services-as-software is an emerging model for delivering services through software-driven automation, intelligence and scalable digital workflows.

Kyndryl has codified its trusted mission-critical and engineering expertise, together with capabilities from AI ecosystem partners, into pre-defined agentic workflows that help customers unlock business outcomes, de-risk and accelerate their modernization objectives, while maintaining enterprise guardrails and cost visibility throughout their AI adoption journey.

“With Agentic Modernization services-as-software, customers can transform iteratively and seamlessly using proven agentic workflows designed to handle changing business priorities and built on Kyndryl’s deep mission-critical expertise and industrialized through Kyndryl Bridge, enabling faster execution and more predictable outcomes,” said Ismail Amla, Senior Vice President, Kyndryl Consult.

The announcement comes as organizations race to scale AI but are challenged to achieve business value from their investments. Kyndryl’s recent survey of 1,100 business and technology leaders found that while 77% of executives say generative AI has already been scaled across multiple functions of their organization, only 32% report experiencing one of their top desired outcomes. Organizations cannot reliably adopt AI on aging technology estates; modernization is the prerequisite foundation and has become a top priority and a growing area of technology spend.

Run on the Foundation of Kyndryl Bridge
Since its launch in 2022, Kyndryl Bridge has become the trusted foundation for managing and modernizing mission-critical and regulated technology environments for more than 1,400 customers. Kyndryl Bridge generates more than 16 million AI insights each month and has demonstrated a reduction in IT incidents by up to 50%.

As organizations adopt AI-powered workflows, Kyndryl Bridge serves as the robust enterprise-grade technology foundation, for deploying and managing mission-critical AI across hybrid IT estates, with well-established controls for cost visibility, security and regulatory requirements. Kyndryl Bridge also provides agentic memory management for customers, helping them preserve and evolve critical institutional knowledge and operational context to support continuous modernization.

Scaling modernization outcomes with services-as-software
Kyndryl’s services-as-software helps customers execute modernization programs of any size or complexity in radically compressed timelines and at significantly lower cost by scaling pre-built agentic workflows — making specialized skills less of a constraint.

This approach also enables customers to adopt new frontier models and tools as they become available, based on their business requirements, cost, performance and governance needs, without locking them into a specific technology stack. As a result, modernization programs can be delivered with greater consistency, repeatability, quality and predictable outcomes for every customer.

Expert-guided, agent-orchestrated continuous modernization 
Drawing on decades of experience managing mission-critical systems, Kyndryl has developed pre-defined agentic modernization workflows for infrastructure, applications and business transformation across mainframe, distributed, cloud and network environments. The workflows orchestrate autonomous AI agents across tasks including discovery, code analysis, dependency mapping, target-state design, code generation, testing and validation.

By providing a reusable, enterprise-grade foundation, the workflows aim to reduce the cost and effort of AI experimentation while accelerating modernization at scale. Kyndryl experts and customer teams retain oversight, governance and accountability, helping organizations modernize legacy environments more quickly and consistently into AI-ready systems.

Source: Kyndryl

BMC Achieves the AWS AI Competency

BMC has announced that it has achieved the Amazon Web Services (AWS) AI Competency. This specialization recognizes BMC as an AWS Partner that helps customers and the AWS Partner Network drive the advancement of services, tools, and infrastructure pivotal for implementing generative AI technologies.

Enterprises come to BMC first for trusted execution with AI that delivers insight when it matters. BMC believes that achieving the AWS AI Competency in the Agentic AI Applications category validates that the Control-M solution from BMC has been acknowledged for its AI-powered capabilities, including intelligent automation, anomaly detection, and self-optimizing workflow orchestration. The solution meets the AWS technical bar for reliability, security, and scalability when running on AWS infrastructure and while leveraging integrations with Amazon Bedrock and other Amazon technologies.

The AWS Competency Program aims to assist customers in connecting with AWS Partners who possess extensive knowledge and technical expertise in using AWS technologies and best practices to adopt AI. These partners facilitate the seamless integration and deployment of AWS-based solutions to meet the unique needs of both startups and global enterprises.

Control-M SaaS is a cloud-native AI, data, and application workflow orchestration platform that provides centralized visibility, governance, and reliable execution across complex hybrid environments. Powered by Amazon Bedrock, Control-M’s AI capabilities – including the Jett AI advisor – enable teams to interact with workflows using natural language, gain contextual operational insights, troubleshoot issues faster, optimize performance, and make more informed decisions, all while maintaining enterprise-grade security and protecting customer data.

A PeerSpot review of the Control-M solution highlights that “The best features Control-M offers are better visibility through the dashboard and an AI-enabled system where users can ask their workflow details through chatting with AI.” – Consultant at TTX

“Enterprises are moving rapidly from AI experimentation to production, where reliability, governance, and integration with core business processes become critical,” said Abhijit Kakhandiki, senior vice president and general manager, Digital Business Automation at BMC. “Achieving the AWS AI Competency validates BMC’s ability to help customers operationalize AI at enterprise scale—orchestrating AI, data, and application workflows with the control, visibility, and trusted execution needed to turn AI innovation into measurable business outcomes.”

Source: BMC

Kyndryl Named 2026 CIO 100 Award Winner For AI Innovation On Kyndryl Bridge

Kyndryl has announced it was named a 2026 CIO 100 Award winner for the change risk prediction capability in Kyndryl Bridge, the company’s AI-powered, open-integration digital business platform. The change risk prediction capability, an AI-driven and patented innovation, helps organizations predict and prevent risks associated with production technology changes before they result in service disruptions.

Deployed on Kyndryl Bridge, the award-winning change risk prediction capability identifies potential incidents or outages before changes are implemented, and recommends actionable insights to reduce the likelihood of disruptions. By combining AI, automation and decades of operational expertise, the capability has helped reduce change failure rates by 60-90% and decrease production outages across environments where it is used, improving operational resiliency and service quality.

“We’re honored that CIO has recognized the innovation behind Kyndryl Bridge and the impact it is delivering,” said Aashish Chandra, Senior Vice President, Kyndryl Consult. “By combining AI with deep operational expertise, we’re helping teams identify risk earlier, make more informed decisions and improve the resiliency of complex technology environments. That has resulted in fewer failed changes, fewer disruptions and more reliable outcomes for our customers.”

The CIO 100 Award is an annual recognition bestowed to organizations that use technology in innovative ways to deliver measurable business value and competitive advantage.

Change risk prediction draws upon Kyndryl’s extensive operational data, and uses AI to analyze proposed technology changes, identify patterns from historical outcomes, and provide recommendations before deployment. By embedding these insights directly into existing workflows, Kyndryl helps teams improve reliability while maintaining the speed required to support continuous innovation.

The CIO 100 Award recognition underscores Kyndryl’s continued investment in Kyndryl Bridge, which helps customers integrate, observe and orchestrate across complex technology environments. Through AI-driven insights, Kyndryl Bridge helps organizations run, modernize and transform complex technology environments while reducing risk and improving operational performance.

Source: Kyndryl

BMC Named a Leader for the Third Consecutive Year in the 2026 Gartner® Magic Quadrant™ for Service Orchestration and Automation Platforms

BMC has announced that it has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Service Orchestration and Automation Platforms (SOAP). BMC was also positioned highest for Ability to Execute.

BMC has been named a Leader in every Gartner SOAP Magic Quadrant since the report was introduced in 2024. A complimentary copy of the 2026 report is available to download here.

According to Gartner, “SOAPs empower I&O leaders to move beyond fragmented task management toward the seamless delivery of end-to-end workflows. By unifying workload automation, resource provisioning, and orchestration across hybrid IT landscapes, these platforms provide the “automation fabric” necessary to scale complex digital operations.” Increasingly, SOAPs are central to how enterprises deploy, manage, and optimize workloads to improve cost, availability, and operational resilience.

BMC believes its continued recognition as a Leader reflects its ability to help the world’s most demanding enterprises orchestrate and automate mission-critical application, data, and AI workflows with greater speed, control, and resilience. When trust and reliability are essential, enterprises start with BMC. The Control-M platform provides the foundation to scale automation confidently across mainframe, distributed, cloud, data, and AI environments.

Operationalizing AI with enterprise-grade control

As AI moves from generating answers to taking action, enterprises need more than intelligence, they need trusted orchestration. BMC embeds generative and agentic AI across the design, execution, operation, and governance of enterprise workflows.

With BMC and Control-M, enterprises can:

• Put AI agents to work without surrendering control: Control-M enables AI agents to initiate and manage workflows within a trusted orchestration framework, helping enterprises move agentic AI safely from experimentation into production.
• Trust the data and the outcomes it produces: AI is only as reliable as the data and processes behind it. By embedding validation and observability directly into orchestration, Control-M helps improve the integrity of data and AI pipelines while reducing manual intervention.
• Govern AI-driven actions in business-critical environments: Control-M provides the guardrails, visibility, and control organizations need to adopt AI-driven automation without introducing unacceptable operational risk.

As of August 6, 2026, Control-M has an Overall Rating of 4.5 out of 5 and the most reviews – 114 – of any product in the SOAP market on Gartner Peer Insights™.

One Gartner Peer Insights reviewer said: “Compared with other workload automation tools I have used, Control-M feels intuitive and easy to operate. It is also clear that the platform continues to improve through useful integrations and enhancements. Overall, it has been a dependable solution for business-critical workflow management.” – Operations Associate, Services (non-Government)

Source: BMC