BMC Software

AI is changing where risk shows up—and making it harder to prove you’re in control. TL;DR AI agents, APIs, and automated workflows are scaling faster than the controls designed to govern them. Fewer processes involves people, but most controls still assume they do. Policies exist. Monitoring exists. But control rarely happens at the moment work runs. That’s the gap. If you can’t prove—right now—what executed, what data was used, and whether it followed policy, you don’t have real-time compliance.

SAP mainstream maintenance for ECC ends December 31, 2027. Moving to S/4HANA protects your ERP investment, but only if the business processes around SAP keep running. Control-M is the enterprise orchestration layer that coordinates SAP and non-SAP workflows so execution stays reliable through the change. The countdown is real. For the estimated 17,000 organizations still running ECC, that deadline is no longer a distant milestone. It’s a planning problem that needs an answer now.

TL;DR AI isn’t the hard part anymore. Operationalizing AI is. Most AI projects stall because no one really has control over how the whole thing behaves in production. Pipelines run. Workflows exist. But they’re stitched together across tools, scripts, and “somebody who knows how it works.” What you have isn’t a system. It’s coordination by coincidence. A SOAP is the layer that turns all of that into something you can actually run and rely on.

AI is changing where risk shows up—and making it harder to prove you’re in control. TL;DR AI agents, APIs, and automated workflows are scaling faster than the controls designed to govern them. Fewer processes involves people, but most controls still assume they do. Policies exist. Monitoring exists. But control rarely happens at the moment work runs. That’s the gap. If you can’t prove—right now—what executed, what data was used, and whether it followed policy, you don’t have real-time compliance.

As digital certificate lifetimes drop to 47 days, automation becomes essential to maintain availability, security, and compliance. BMC AMI Digital Certificate Manager extends automated certificate lifecycle management to the mainframe, enabling standardization across the enterprise using your current CLM vendor. Digital certificates are the connective tissue of the enterprise environment, enabling systems, workloads, applications, and APIs to verify each other and communicate securely.

TL;DR AI isn’t the hard part anymore. Operationalizing AI is. Most AI projects stall because no one really has control over how the whole thing behaves in production. Pipelines run. Workflows exist. But they’re stitched together across tools, scripts, and “somebody who knows how it works.” What you have isn’t a system. It’s coordination by coincidence. A SOAP is the layer that turns all of that into something you can actually run and rely on.

The Orchestration Imperative for the AI Era Something interesting is happening in enterprise technology right now. In conversations with clients, I’m hearing that as companies modernize, invest heavily in AI, and build increasingly complex digital ecosystems, many are running into the same reality. Innovation is moving faster than operations. And the gap is now showing up in execution.

BMC is aware of recent industry discussion about the use of advanced AI techniques to identify software vulnerabilities, including initiatives such as Project Glasswing. As part of normal security operations, BMC continuously monitors emerging research, threat intelligence, and industry developments related to software and supply chain security. These developments reflect an acceleration in how vulnerabilities may be identified across the industry.

Artificial intelligence (AI) is evolving rapidly, and so are organizations’ approach to its use. In April 2026, BMC released a statement of direction on the integration of AI into the BMC AMI suite of mainframe solutions. In The Next Evolution in Enterprise AI is Purpose Built, BMC mainframe Senior Vice President and General Manager John McKenny discusses the shift from generative AI (GenAI) to agentic AI and our intent to embed agentic AI across the BMC AMI portfolio.

IMS continues to serve as the backbone for high-volume, transaction-driven applications across industries such as banking, insurance, retail, and healthcare. These environments are trusted due to their reliability and performance, yet they are also evolving. Today’s IMS systems support a wider mix of users, integrations, and business-critical activity than ever before. As a result, complexity is increasing while many teams cope with limited resources and fewer experienced specialists.