BMC Helix AIOps 25.3

BMC Helix AIOps is an AI/ML-based platform that provides real-time, 360-degree visibility of your complete IT infrastructure. It analyzes data from multiple sources, identifies patterns, predicts potential problems, and helps remediate problems before they cause service disruptions in your environment.

With generative AI and automation, BMC Helix AIOps increases service reliability, reduces the mean time to resolution (MTTR), and ensures optimal health of your IT infrastructure environment.

Release notes and notices Updated 01 Sep 2025

Learn what’s new or changed for BMC Helix AIOps, including new features, urgent issues, documentation updates, and fixes or patches.

Related topics

Known and corrected issues

Support information

Date

Summary

Reference

August 28, 2025

Enhancements included in this release:

  • Improved user experience with the latest fine-tuned AI model
  • Collaborate by using the Ops Swarmer to help resolve situations
  • Service predictions for dynamically configured health indicators
  • Documentation for ServiceOps is available
  • Documentation for Agentic AI is available
25.3.01 enhancements and patches
August 14, 2025The cumulative updates from previous releases (25.2.01 and 25.2.02) are rolled into the 25.3 release for on-premises users.
July 25, 2025

Enhancements included in this release:

  • ​​Identify issues impacting multiple services through multi-service situation correlation
  • Use BGP-based correlation to group related network-impacting events into a situation
  • Generate predictions based on baselines defined in alarm policies
  • Assign and update vulnerability categories for better risk classification
  • View service risk data by using a heatmap view or tile view
  • Update the status of assets impacted by identified vulnerabilities
  • Create custom dashboards by using BMC HelixGPT Insight Finder
25.3 enhancements and patches

Related release notes

The following links provide updates about the integrated BMC Helix AIOps products:

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Getting started

ServiceOps overview

Learn about ServiceOps, which uses agentic AI, observability, and automation to improve service quality, reduce downtime risks, and enhance productivity and efficiency across ITSM and ITOM teams.

Setting up and going live

Set up users and assign permissions, configure third-party integrations, and start monitoring key performance indicators, services, and situations.

Agentic AI capabilities in BMC Helix AIOps

Use AI agents that operate autonomously without human intervention to generate a summary of a situation, answer questions that help investigate it further, and provide a step-by-step action plan to resolve the situation, thus improving MTTR.

Monitoring services

Assess the service health, do root cause analysis, and discover health insights.

Monitoring and investigating situations

Monitor and investigate ML-based situations for faster analysis and remediation.

Predicting and proactively resolving service outages

Predict service outages that help in identifying and fixing issues before they happen.

Administering

Understand roles and permissions, enable AIOps features and notifications, model service blueprints, and model services.

Remediating services and situations

Run automation actions to remediate open events for services and situations.
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