Rocket Software program Advances Ruled, Agentic AI on the Mainframe


WALTHAM, Mass. — Rocket Software program immediately introduced the enlargement of Rocket EVA, its agentic AI platform for mission essential techniques. The expanded platform gives ruled, auditable AI brokers on the mainframe to correlate and motive throughout operational information and automate operational duties inside enterprise-defined insurance policies. The newest capabilities develop the operational use instances groups can handle with EVA, serving to enterprises put agentic AI to work throughout mission-critical surroundings

As enterprises deliver AI to the mainframe, specialised experience stays a major problem. In response to a Hanover Analysis research for Rocket Software program, 81% of economic companies IT leaders report a really or extraordinarily vital mainframe abilities hole, whereas 87% imagine AI will assist handle it over the following two years.

“Enterprises have relied on the mainframe to run their mission-critical workloads for many years,” mentioned Milan Shetti, president and CEO of Rocket Software program. “AI guarantees to unlock much more worth from these environments, however provided that enterprises can deploy it securely and with out disruption. We’re serving to prospects apply agentic AI to mission-critical techniques with pace, confidence, and management, closing the talents hole and placing that experience inside attain of each enterprise workforce.”

Backed by Rocket Software program’s mainframe experience, modernization portfolio and purpose-built AI structure, EVA allows brokers to grasp and act on mainframe environments in actual time. International organizations throughout monetary companies, authorities, insurance coverage, retail, and telecommunications are collaborating in EVA pilots. The centered pilot program allows prospects to validate high-value operational use instances with their very own information and transfer from set up to actionable insights inside days, not weeks.

The expanded EVA platform contains the launch of Rocket PlanGuard, a brand new safety layer that places a coverage checkpoint between AI reasoning and system execution, extending auditable, extremely scoped agent entry to mainframe assets. PlanGuard provides a coverage choice level and identification controls to make sure AI-driven actions stay inside authorised boundaries whereas sustaining enterprise management.

Placing Agentic AI to Work Throughout Core Operations

In response to Hanover Analysis, 94% of economic companies IT leaders rank enhancing IT operations with AI as a excessive or prime precedence. EVA makes use of pure language to use AI to operational challenges which have historically required specialised experience, a number of instruments and vital handbook evaluation, considerably lightening the burden on IT groups. In response to a current Rocket survey of mainframe AI use, Rocket prospects are seeing early success with EVA throughout a spread of high-value operational use instances, together with:

  • Operations/Diagnostics: Identifies and correlates operational points throughout techniques to speed up evaluation and determination, with use instances spanning job failure sample evaluation, operational dashboard and KPI technology, end-to-end agentic workflow automation, end-of-month monetary reporting evaluation, IBM CICS on-line banking utility optimization, and IBM CICS queue and backlog evaluation.
  • Safety: Protects essential techniques and information with vulnerability detection, automated compliance, and clever patch administration, and identification of rising dangers related to Publish Quantum Cryptography (PQC).
  • Batch Processing: Assists groups in monitoring batch efficiency in opposition to SLAs, establish essential failures and examine root causes sooner by AI-assisted evaluation.
  • Software/Configuration Administration: Helps pinpoint efficiency and configuration points by excessive CPU utilization evaluation and IBM Db2 information sharing, buffer pool and cache degradation.
  • Knowledge: Advances Rocket’s imaginative and prescient for unified enterprise information entry, enabling extra clever supply and streamlined output administration throughout the enterprise.

Collectively, these use instances present how EVA can cut back handbook investigation and speed up the trail from operational situation to root trigger and determination.

Capabilities for Mainframe Professionals

EVA combines AI-powered help with ruled entry to assist mainframe professionals work extra effectively whereas sustaining enterprise management:

  • Scale back Imply Time to Decision (MTTR): Rapidly diagnose and resolve operational points by connecting information, context, and experience throughout mainframe and distributed environments, serving to groups transfer from downside identification to decision sooner.
  • Enhance Visibility: Floor insights from logs, metrics, functions, and system information by a conversational expertise, making it simpler to grasp system well being, establish dependencies, and detect points earlier than they escalate.
  • Protect Experience: Seize and operationalize institutional data, enabling workforce members of all expertise ranges to learn from the experience of seasoned professionals and decreasing reliance on a shrinking pool of specialists.
  • Ruled Mainframe Entry: Retains AI-driven actions inside patent-pending outlined coverage boundaries by contextual, just-in-time authorization, with exercise logged for auditability and human oversight supported the place required.

The enlargement additionally extends Rocket’s model-agnostic structure with a light-weight, standards-based method to connecting z/OS information. By simplifying entry to operational and enterprise information whereas sustaining governance and management, EVA allows organizations to speed up AI adoption throughout core enterprise techniques with much less complexity and danger.

To be taught extra about Rocket Software program’s AI and modernization options, go to www.rocketsoftware.com.

SD Occasions Q&A
What’s Rocket EVA and what does it do on the mainframe?

Rocket EVA is an agentic AI platform designed for mainframe and mission-critical techniques. It makes use of pure language to automate operational duties—resembling job failure evaluation, compliance monitoring, and batch processing diagnostics—inside enterprise-defined coverage boundaries. EVA correlates and causes throughout operational information in actual time, decreasing the necessity for specialised handbook intervention.

How does Rocket PlanGuard implement governance for AI brokers on z/OS?

Rocket PlanGuard is a safety layer that sits between AI reasoning and system execution on the mainframe. It provides a coverage choice level and identification controls to make sure AI-driven actions keep inside authorised boundaries. All exercise is logged for auditability, and human oversight could be enforced the place required.

How does Rocket EVA assist shut the mainframe abilities hole?

EVA captures and operationalizes institutional data in order that workforce members in any respect expertise ranges can act on steerage beforehand held solely by seasoned mainframe specialists. In response to a Hanover Analysis research commissioned by Rocket Software program, 87% of economic companies IT leaders imagine AI will assist handle the mainframe abilities hole inside two years.

Which mainframe use instances does agentic AI assist in Rocket EVA?

EVA helps use instances throughout operations and diagnostics (e.g., job failure sample evaluation, IBM CICS optimization), safety (vulnerability detection, Publish Quantum Cryptography danger identification), batch processing SLA monitoring, utility and configuration administration (IBM Db2, excessive CPU evaluation), and enterprise information entry and output administration.

How shortly can enterprises get actionable insights from Rocket EVA?

Rocket Software program’s centered pilot program is designed to maneuver prospects from set up to actionable insights inside days quite than weeks. Members validate high-value operational use instances utilizing their very own manufacturing information in their very own environments.

SD Times Newswire

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