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Everbridge Unveils Digital Operations Platform

Everbridge launched its new Digital Operations Platform, helping organizations to save time and money, deliver continuous service uptime and maintain revenue streams.

The new platform extends Everbridge’s market-leading CEM for Digital solution to further support customers’ digital transformation efforts.

The new platform provides Everbridge’s enterprise customers with the ability to automate and streamline digital service delivery and incident management across teams and toolsets, and enables organizations to innovate and accelerate digital transformation initiatives, while continuing to meet key uptime service-level agreements (SLAs) and deliver great customer experiences.

Everbridge’s new Digital Operations Platform represents the seamless integration of the Everbridge and xMatters enterprise IT and cyber resilience solutions (following Everbridge’s acquisition of xMatters in May 2021). The platform includes many powerful new capabilities to help organizations rapidly assess digital service interruptions, act quickly to mitigate these issues, and continuously improve processes and services. It addresses organizations’ IT Ops, Security Ops & Cyber, DevOps, Infrastructure Ops, Customer Support and Major Incident Management (MIM) needs to keep operations running, safeguard revenue, and enhance enterprise operational resilience by managing digital and physical critical events through a single pane of glass.

Enterprises around the world rely on Everbridge to keep their operations running smoothly. A FORTUNE 500 banking institution selected the new Digital Operations Platform to streamline MIM across several global offices, and a FORTUNE 100 pharmaceutical company selected the platform to automate incident response.

The integration of the Everbridge and xMatters products offer customers a holistic, automated approach to digital and physical critical events.

“Everbridge launched its new Digital Operations Platform because customers from startups to global enterprises expressed a pressing need for a solution that embraces digital transformation with fewer service disruptions and faster innovation,” said Prashant Darisi, VP, Global Solutions, Everbridge. “When potential service degradations occur, the new Everbridge Digital Operations Platform keeps organizations’ digital operations running and their customers happy.”

Everbridge provides several key digital operations features and benefits within one platform. These include:

- Analytics-driven decision making powered by AI and machine learning to allow organizations to assess critical events, rapidly identify the best personnel to act, keep customers and stakeholders informed, and drive continuous improvement through rich postmortem analytics.

- Alert suppression with Signal Enrichment and contextual incident notifications to proactively assess threats and correlate alerts to make faster decisions. Target the right on-call personnel with a full view into an issue, allowing teams to rapidly remediate and resolve issues through automation while notifying stakeholders in the process.

- Cross-functional communication, so teams and other stakeholders can better coordinate actions for incident response or a crisis management event with digital runbooks. Everbridge provides rapid collaboration and orchestration tools, applications, and business processes to resolve issues faster.

- Out-of-the-box integrations for legacy applications, native support for on-premises, hybrid and cloud applications across application monitoring, Cyber, ITSM, ITOM and runbook automation toolsets, as well as risk feeds for dark web monitoring of ransomware and cyberthreats to the organization. Seamless integrations include ChatOps channels, conference bridges, and desktop alerting with immediate screen takeover for urgent alerts.

- Low-to-no code workflow automation offers drag-and-drop integrations to overcome vendor lock-ins and drive tools consolidation. The intuitive, drag-and-drop visual workflow builder allows teams to quickly automate and orchestrate workflows, runbooks, communication plans, and other business processes.

- Service Catalog allows organizations to define and manage the important technical and business services within the enterprise – and the teams supporting them. When a system performance degradation occurs, a new visual services map allows teams to quickly identify all affected services, and immediately engage SMEs.

- Flexible automated actions can be executed with one click, including business process approvals (e.g., permission to quarantine a network in case of cyber-attack, restart applications, or roll back a new patch that caused performance degradation).

- Granular capture and analysis of event timelines to drive better prioritization and categorization to ensure that organization remains focused on delivering the best customer experience and executing on the most important tasks.

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 ...

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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 ...

Everbridge Unveils Digital Operations Platform

Everbridge launched its new Digital Operations Platform, helping organizations to save time and money, deliver continuous service uptime and maintain revenue streams.

The new platform extends Everbridge’s market-leading CEM for Digital solution to further support customers’ digital transformation efforts.

The new platform provides Everbridge’s enterprise customers with the ability to automate and streamline digital service delivery and incident management across teams and toolsets, and enables organizations to innovate and accelerate digital transformation initiatives, while continuing to meet key uptime service-level agreements (SLAs) and deliver great customer experiences.

Everbridge’s new Digital Operations Platform represents the seamless integration of the Everbridge and xMatters enterprise IT and cyber resilience solutions (following Everbridge’s acquisition of xMatters in May 2021). The platform includes many powerful new capabilities to help organizations rapidly assess digital service interruptions, act quickly to mitigate these issues, and continuously improve processes and services. It addresses organizations’ IT Ops, Security Ops & Cyber, DevOps, Infrastructure Ops, Customer Support and Major Incident Management (MIM) needs to keep operations running, safeguard revenue, and enhance enterprise operational resilience by managing digital and physical critical events through a single pane of glass.

Enterprises around the world rely on Everbridge to keep their operations running smoothly. A FORTUNE 500 banking institution selected the new Digital Operations Platform to streamline MIM across several global offices, and a FORTUNE 100 pharmaceutical company selected the platform to automate incident response.

The integration of the Everbridge and xMatters products offer customers a holistic, automated approach to digital and physical critical events.

“Everbridge launched its new Digital Operations Platform because customers from startups to global enterprises expressed a pressing need for a solution that embraces digital transformation with fewer service disruptions and faster innovation,” said Prashant Darisi, VP, Global Solutions, Everbridge. “When potential service degradations occur, the new Everbridge Digital Operations Platform keeps organizations’ digital operations running and their customers happy.”

Everbridge provides several key digital operations features and benefits within one platform. These include:

- Analytics-driven decision making powered by AI and machine learning to allow organizations to assess critical events, rapidly identify the best personnel to act, keep customers and stakeholders informed, and drive continuous improvement through rich postmortem analytics.

- Alert suppression with Signal Enrichment and contextual incident notifications to proactively assess threats and correlate alerts to make faster decisions. Target the right on-call personnel with a full view into an issue, allowing teams to rapidly remediate and resolve issues through automation while notifying stakeholders in the process.

- Cross-functional communication, so teams and other stakeholders can better coordinate actions for incident response or a crisis management event with digital runbooks. Everbridge provides rapid collaboration and orchestration tools, applications, and business processes to resolve issues faster.

- Out-of-the-box integrations for legacy applications, native support for on-premises, hybrid and cloud applications across application monitoring, Cyber, ITSM, ITOM and runbook automation toolsets, as well as risk feeds for dark web monitoring of ransomware and cyberthreats to the organization. Seamless integrations include ChatOps channels, conference bridges, and desktop alerting with immediate screen takeover for urgent alerts.

- Low-to-no code workflow automation offers drag-and-drop integrations to overcome vendor lock-ins and drive tools consolidation. The intuitive, drag-and-drop visual workflow builder allows teams to quickly automate and orchestrate workflows, runbooks, communication plans, and other business processes.

- Service Catalog allows organizations to define and manage the important technical and business services within the enterprise – and the teams supporting them. When a system performance degradation occurs, a new visual services map allows teams to quickly identify all affected services, and immediately engage SMEs.

- Flexible automated actions can be executed with one click, including business process approvals (e.g., permission to quarantine a network in case of cyber-attack, restart applications, or roll back a new patch that caused performance degradation).

- Granular capture and analysis of event timelines to drive better prioritization and categorization to ensure that organization remains focused on delivering the best customer experience and executing on the most important tasks.

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 ...