BMC announced the latest update to its TrueSight portfolio to help IT teams more easily adopt and extend the value of Artificial Intelligence for IT Operations (AIOps) throughout their organizations – both on-premises and in the cloud.
"Existing IT operations tools and processes cannot cope with the speed, data volume, and complexity of modern hybrid IT environments," said Nayaki Nayyar, President, Digital Service and Operations Management at BMC. "We are continually innovating our TrueSight portfolio to help cloud and IT operations teams to predictively monitor, auto-remediate, as well as optimize capacity, cost, and security of business services and applications – all while ensuring high performance levels, reducing risk, and driving cost efficiencies."
With BMC's TrueSight solutions, cloud and IT operations teams can deploy machine learning and advanced analytics along with automation. New capabilities include:
- Advanced Event Analytics to speed root cause identification by 50%: Identifies patterns and abnormalities of events related to applications, enabling IT operations teams to continually optimize application performance.
- Business Service Views to proactively manage on-premises and cloud infrastructure usage, cost, and security for a business service: Prevents IT resource shortages that cause application failures or slowdowns and avoids over-provisioning, all while reducing infrastructure-related application failures.
- Event-Driven Compliance for CloudOps: Automates policy-based governance of security whenever a change is made to reduce risk and integrates to change management workflows for better control and fully documented audit trails.
- Advanced Orchestration for automated event remediation to reduce MTTR by 50%: Deploys automated event remediation workflows with tight integration between AIOps processes for event triage and orchestration to speed mean-time-to-repair (MTTR) and optimize customer experience.
- Continuous Cost Optimization to reduce spend by 25%: Uses machine learning and automation to identify and address inefficiencies in IT infrastructure and cloud service usage, helping customers to reduce operational costs, optimize performance, and eliminate wasted spend.
- New Knowledge Modules: Includes support for Pivotal CloudFoundry, Kubernetes, SAP Hana, and Oracle Enterprise Database. Enables customers to easily consolidate infrastructure and app monitoring of many different technologies from a single console.
"While analytics is not new, it is a rapidly growing segment, and BMC has focused on some key differentiators," said Roy Illsley, Distinguished Analyst at Ovum. "Firstly, making the capacity planning capabilities an integrated part of the IT operational management tool kit. Secondly, integrating the security and governance capabilities into the solution so that SecOps can now become operational. Finally, extending the breath of the management into the cost optimization area, which is making IT operations more relevant to line of business customers. BMC has made TrueSight AIOps optimized for the demands of IT departments that must operate in a new digital economy."
Cloud and IT operations teams need to move to a predictive and proactive service model in order to respond more quickly, efficiently, and accurately. The TrueSight portfolio's new capabilities will help customers continue to support business innovation even as digital business requirements and infrastructures become more complex.
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...