BMC Helix AIOps 26.2

BMC Helix AIOpsis 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 05 May 2026

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

Date

Summary

Reference

April 24, 2026

Enhancements included in this release:

  • Use Ask HelixGPT to investigate and help resolve a situation

  • Run Deep Root Cause Analysis for a situation in Microsoft Teams by using Ops Swarmer

  • Identify the root cause of a situation by analyzing logs from Splunk Enterprise

  • Support for multiple indexes in Elasticsearch logs for identifying the root cause of a situation

  • Customize the number of entries to be displayed in Ops Swarmer or Ask HelixGPT chats

  • Edit the services created or imported into BMC Helix Discovery from the BMC Helix AIOps console

  • Set a preset as the global preset on the Services page

  • Optimize operational efficiency with the enhanced AIOps Value dashboard

  • Sync vulnerability remediation scripts generated by BMC HelixGPT to Ansible Automation Platform

  • Improvements to the Vulnerability details page

  • Additional information in the Remediation Status column on the Vulnerability details page

  • Controlled availability customers only 

    • Faster root cause analysis with standalone events on the service details page

    • Proactively identify service impact with KPI metrics-based predictions

    • Identify unavailable services with improved health scoring

    • Control access to services and related data with role-based access control

    • Support for Internet Protocol Security-based situation correlation

26.2 enhancements and patches
March 4, 2026The cumulative updates from previous releases (25.4.01 and 25.4.02) are rolled into the 26.1 release for on-premises users.26.1 enhancements and patches
February 27, 2026

Enhancements included in this release:

  • Upgrade to the latest fine-tuned AI model HelixGPT-v7.4

  • Get faster access to prediction event details

26.1.01 enhancements
January 28, 2026

Enhancements included in this release:

  • Upgrade to the latest fine-tuned AI model HelixGPT-v7.3

  • (Controlled availability customers only)Identify the root cause of a situation by using Deep RCA

  • Get similar situations for incident analysis with the Ops Swarmer agent

  • Identify event correlation gaps with the Top Offenders section in the AIOps Value dashboard

  • Analyze a subset of traces in the OTel Raw Trace Data dashboard

  • (Available for logged-in users only) Get help faster with DocuAssistant

  • (Controlled availability customers only) Control the loading of CIs on the service details page in large topologies

  • Automate vulnerability remediation in BMC Helix AIOps

  • Improvements to the Vulnerability details page

26.1 enhancements and patches

Related release notes

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

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.
Product trials Product trials
CommunitiesCommunities
Knowledge BaseKnowledge Base
VideosVideos
EducationBMC Training and Certification

FAQ

Find answers to the most frequently asked questions about BMC Helix AIOps.

Related documentation

See the documentation of products related to BMC Helix AIOps.

 

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BMC Helix AIOps 26.2