Rocket Software, a global technology leader in modernization software, is expanding Rocket EVA, its agentic AI platform for mission critical systems, to provide governed, auditable AI agents on the mainframe to correlate and reason across operational data and automate operational tasks within enterprise-defined policies.
According to the company, the latest capabilities expand the operational use cases teams can address with EVA, helping enterprises put agentic AI to work across mission-critical environments.
“Enterprises have relied on the mainframe to run their mission-critical workloads for decades,” said Milan Shetti, president and CEO of Rocket Software. “AI promises to unlock even more value from these environments, but only if enterprises can deploy it securely and without disruption. We’re helping customers apply agentic AI to mission-critical systems with speed, confidence, and control, closing the skills gap and putting that expertise within reach of every enterprise team.”
Backed by Rocket Software’s mainframe expertise, modernization portfolio and purpose-built AI architecture, EVA enables agents to understand and act on mainframe environments in real time.
Global organizations across financial services, government, insurance, retail, and telecommunications are participating in EVA pilots. The focused pilot program enables customers to validate high-value operational use cases with their own data and move from installation to actionable insights in a shorter timeframe, the vendor said.
The expanded EVA platform includes the launch of Rocket PlanGuard, a new security layer that puts a policy checkpoint between AI reasoning and system execution, extending auditable, highly scoped agent access to mainframe resources. PlanGuard adds a policy decision point and identity controls to ensure AI-driven actions remain within approved boundaries while maintaining enterprise control.
EVA uses natural language to apply AI to operational challenges that have traditionally required specialized expertise, multiple tools and significant manual analysis, significantly lightening the burden on IT teams.
EVA combines AI-powered assistance with governed access to help mainframe professionals work more efficiently while maintaining enterprise control:
- Reduce Mean Time to Resolution (MTTR): Quickly diagnose and resolve operational issues by connecting data, context, and expertise across mainframe and distributed environments, helping teams move from problem identification to resolution faster.
- Improve Visibility: Surface insights from logs, metrics, applications, and system data through a conversational experience, making it easier to understand system health, identify dependencies, and detect issues before they escalate.
- Preserve Expertise: Capture and operationalize institutional knowledge, enabling team members of all experience levels to benefit from the expertise of seasoned professionals and reducing reliance on a shrinking pool of specialists.
- Governed Mainframe Access: Keeps AI-driven actions within patent-pending defined policy boundaries through contextual, just-in-time authorization, with activity logged for auditability and human oversight supported where required.
The expansion also extends Rocket’s model-agnostic architecture with a lightweight, standards-based approach to connecting z/OS data.
By simplifying access to operational and enterprise data while maintaining governance and control, EVA enables organizations to accelerate AI adoption across core business systems with less complexity and risk, the company said.
For more information about this news, visit www.rocketsoftware.com.