Rocket Software Launched PlanGuard Security Layer

The new security layer adds contextual authorization and audit trails to the Enterprise Virtual Assistant 2.0 platform.

Updated on Sept. 23, 2026 in Artificial Intelligence

Bold flat-color editorial illustration showing a solid server column made of geometric blocks, representing secure enterprise AI policy layers.
Rocket Software has released PlanGuard, a new security layer for its Enterprise Virtual Assistant 2.0 platform designed to secure agentic AI operations within mainframes. AI Illustration. Upload story photo >

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Rocket Software has introduced PlanGuard to its Enterprise Virtual Assistant 2.0 platform to secure agentic AI operations. The new tool evaluates agent actions against existing mainframe security policies before execution.

Why it matters

PlanGuard allows organizations to maintain strict identity controls and audit trails while adopting agentic AI. It provides contextual authorization beyond initial account provisioning to ensure secure AI-driven interactions.

PlanGuard integrates with mainframe security managers including RACF, ACF2, and Top Secret. The system creates a tamper-evident, hash-chained audit trail of all AI agent activity.

The players

Rocket Software

Rocket Software is a global technology company that specializes in modernizing legacy infrastructure and mainframe systems.

The details

The platform functions as a policy decision point that examines user requests, session data, and environmental conditions to grant temporary execution identities. By selecting connected tools and correlating evidence across systems, the platform reduces root cause investigation times from three weeks to less than a day.

Timeline

  1. Rocket Software announced the EVA 2.0 platform updates on September 23, 2026.

The Tech Race

The integration of PlanGuard extends the capabilities of the RACF mainframe security framework by adding agentic AI authorization layers. This development reflects a broader industry shift toward embedding robust, traditional security controls into modern autonomous AI agents.

IT teams can expect improved operational efficiency as the platform automates complex investigations that previously took weeks to complete. The consumption-based pricing model allows companies to scale usage according to their specific volume and user needs.

The takeaway

Organizations looking to deploy agentic AI should prioritize security layers that integrate seamlessly with existing legacy authentication frameworks. Leveraging automated audit trails can significantly reduce the time required for complex system investigations.

Further reading

Learn more about the latest innovations in Artificial Intelligence.

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Would you trust autonomous AI agents to manage your organization's critical technical infrastructure?