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ManageEngine Bolsters Compliance and Audit Controls in Desktop Central

ManageEngine, the real-time IT management company, bolstered the compliance and audit controls now available in its server and desktop management software, Desktop Central.

As more enterprises deal with more customer data — from healthcare records to financial statements and beyond — IT organizations are held accountable to, and must comply with, the requirements of HIPAA, PCI and other security and privacy standards. Now, Desktop Central extends audit capabilities to the remote control tools that IT teams use to access users’ PCs and file servers. Video recording the entire remote support session provides transparency and insight into technician actions, letting companies clearly meet their audit requirements.

"IT is ethically and legally responsible for maintaining user data in a private, secure manner," said Mathivanan Venkatachalam, director of product management at ManageEngine, a division of Zoho Corp. "The new video recording capabilities in Desktop Central confirm IT department efforts to maintain that data standard. By establishing incontrovertible proof of the service that IT technicians provide to their remote users, companies subject to government and industry regulations have a fool-proof way to demonstrate their compliance."

Beyond its audit and compliance advances, Desktop Central reinforces its enterprise capabilities with support for Microsoft SQL Server. Extending support to Microsoft’s widely used, enterprise-class database promises to improve the performance of Desktop Central and deliver the following benefits:

Streamlined manageability: IT shops can use a single Microsoft SQL Server database for all IT management applications.

Built-in services: Extensive auditing capabilities and backup policies are delivered as standard features of Microsoft SQL Server.

Variety of tools: Broad ISV support of Microsoft SQL Server ensures a wide variety of commercially available reporting tools to extract customized reports.

Desktop Central also gains previously announced mobile device management (MDM) capabilities for iOS devices — the iPhone and iPad as well as the iPod touch — with support for other mobile device OSes to come. Tight integration between Desktop Central and ServiceDesk Plus extends help desk and asset management to mobile devices. MDM features of Desktop Central include:

Security management: Lock the device, erase device data, erase corporate settings, clear passcodes, and execute other security commands

Asset management: View certificates and profiles installed, restriction details, security information, app inventory, and device information

Configuration management: Enable passcodes, impose restrictions, configure email, enable Exchange ActiveSync and configure VPN and WiFi settings

The Latest

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 ...

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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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

ManageEngine Bolsters Compliance and Audit Controls in Desktop Central

ManageEngine, the real-time IT management company, bolstered the compliance and audit controls now available in its server and desktop management software, Desktop Central.

As more enterprises deal with more customer data — from healthcare records to financial statements and beyond — IT organizations are held accountable to, and must comply with, the requirements of HIPAA, PCI and other security and privacy standards. Now, Desktop Central extends audit capabilities to the remote control tools that IT teams use to access users’ PCs and file servers. Video recording the entire remote support session provides transparency and insight into technician actions, letting companies clearly meet their audit requirements.

"IT is ethically and legally responsible for maintaining user data in a private, secure manner," said Mathivanan Venkatachalam, director of product management at ManageEngine, a division of Zoho Corp. "The new video recording capabilities in Desktop Central confirm IT department efforts to maintain that data standard. By establishing incontrovertible proof of the service that IT technicians provide to their remote users, companies subject to government and industry regulations have a fool-proof way to demonstrate their compliance."

Beyond its audit and compliance advances, Desktop Central reinforces its enterprise capabilities with support for Microsoft SQL Server. Extending support to Microsoft’s widely used, enterprise-class database promises to improve the performance of Desktop Central and deliver the following benefits:

Streamlined manageability: IT shops can use a single Microsoft SQL Server database for all IT management applications.

Built-in services: Extensive auditing capabilities and backup policies are delivered as standard features of Microsoft SQL Server.

Variety of tools: Broad ISV support of Microsoft SQL Server ensures a wide variety of commercially available reporting tools to extract customized reports.

Desktop Central also gains previously announced mobile device management (MDM) capabilities for iOS devices — the iPhone and iPad as well as the iPod touch — with support for other mobile device OSes to come. Tight integration between Desktop Central and ServiceDesk Plus extends help desk and asset management to mobile devices. MDM features of Desktop Central include:

Security management: Lock the device, erase device data, erase corporate settings, clear passcodes, and execute other security commands

Asset management: View certificates and profiles installed, restriction details, security information, app inventory, and device information

Configuration management: Enable passcodes, impose restrictions, configure email, enable Exchange ActiveSync and configure VPN and WiFi settings

The Latest

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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...