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Everbridge Unveils Service Intelligence

Everbridge ntroduced a new correlation and analytics module enabling IT organizations to streamline digital operations and reduce unplanned work while freeing more time for innovation.

Available as part of Everbridge’s Digital Operations solutions bundle, Service Intelligence minimizes digital disruptions and customer impact and ensures smooth-running IT services​ by combining unique visualizations for mapping service graphs with dependency mapping, root cause identification, service ownership, change intelligence and automation – all in one, purpose-built resolver console.

In the quest to achieve demanding digital transformation goals, too many organizations find themselves burdened by unplanned work or IT disruptions leading to overwhelmed teams, missed release dates, and lack of time to innovate. Everbridge’s Service Intelligence provides Operations/IT​, NOC/SOC​, Service Desk, DevOps and Site Reliability Engineer (SRE) Teams with the unified resolver tools and console to streamline the response and minimize the business impacts to service interruptions, failed or emergency changes, and patch or security incidents.

“The adoption of cloud services, an increase in distributed and global teams, and remote work have all accelerated the pace of digital transformation for many organizations,” said Prashant Darisi, Vice President of Global Solutions at Everbridge. “Our new Service Intelligence capabilities, part of Everbridge’s market-leading Digital Operations platform, provides automated service component diagnosis, visual root cause identification, and runbook automation to streamline incident response and accelerate resolution.”

Continued Darisi, “To be successful, our customers must have the time to innovate and deliver products and services that customers love, disruption free​. We solve technology issues before they become business problems. This brand-new capability serves as validation for our continued efforts to ensure our Digital Operations Platform meets and exceeds the needs of the modern workplace.”

Everbridge’s Service Intelligence provides the following capabilities:

- Rich two-way integrations with industry-leading AIOps and observability solutions to automate alert processing, drive resolution process and dark web response.

- The always-on Everbridge Digital Operations platform now receives direct, rich communication from leading AIOps and observability solutions such as Dynatrace or MoogSoft, Big Panda, DataDog.

- Service Intelligence receives anomaly alerts and incidents with all the necessary information (telemetry, dependency) needed by the teams to investigate and fix issues before they impact end users. Everbridge enriches signals over and above reducing signal noise and avoids distracting engineering teams by only relaying critical data to resolve issues faster.

- Automated diagnosis, actions, remediation, runbooks, and rich intelligent mobilization notifications save teams time and allows them to focus on the issues that matter. Two-way integration enables full system synchronization so users can track responses, comments, and actions. Further to observability, the platform connects to dark web management systems to allow customers to prepare and respond better to Cyber threats.

- Service component mapping and inspection for accelerated root cause identification: The Everbridge Digital Operations platform embeds services directly into its incident management capabilities to supercharge the response to digital service interruptions. By navigating through a built-in service dependency map, the intelligent service correlation engine identifies recent service changes (CI/CD cycles, code, infrastructure, feature toggles) and pinpoints the most likely root cause. The solution can then automatically identify, notify, and engage the team responsible for the quality of the service to minimize impact on users.

- On-demand runbook automation for faster recovery: Workflow designer provides no-code low-code configuration with a library of hundreds of integrated actions with all IT and DevOps tools, making it easy to set the service operations on autopilot. On activation, dynamic workflows will execute actions across all the different tools used by an organization and improve the teams’ efficiency by hiding complexity and gaining visibility across the end-end remediation scenario.

- Automated resolver mobilization and escalation for faster collaboration: With the understanding each organization uses different tools to effectively collaborate and timely communicate during incident response, the new release of Service Intelligence brings two new communication channels, Slack and Microsoft Teams for users to initiate incidents, notify team members, and create online meetings.

With its acquisition and integration of xMatters in 2021, Everbridge’s Digital Operations Platform helps organizations to save time, maintain customer satisfaction, deliver continuous service uptime and innovate. The platform extends Everbridge’s market-leading Critical Event Management (CEM) solutions to further support customers’ digital transformation efforts, providing 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.

The platform includes many powerful 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.

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 Service Intelligence

Everbridge ntroduced a new correlation and analytics module enabling IT organizations to streamline digital operations and reduce unplanned work while freeing more time for innovation.

Available as part of Everbridge’s Digital Operations solutions bundle, Service Intelligence minimizes digital disruptions and customer impact and ensures smooth-running IT services​ by combining unique visualizations for mapping service graphs with dependency mapping, root cause identification, service ownership, change intelligence and automation – all in one, purpose-built resolver console.

In the quest to achieve demanding digital transformation goals, too many organizations find themselves burdened by unplanned work or IT disruptions leading to overwhelmed teams, missed release dates, and lack of time to innovate. Everbridge’s Service Intelligence provides Operations/IT​, NOC/SOC​, Service Desk, DevOps and Site Reliability Engineer (SRE) Teams with the unified resolver tools and console to streamline the response and minimize the business impacts to service interruptions, failed or emergency changes, and patch or security incidents.

“The adoption of cloud services, an increase in distributed and global teams, and remote work have all accelerated the pace of digital transformation for many organizations,” said Prashant Darisi, Vice President of Global Solutions at Everbridge. “Our new Service Intelligence capabilities, part of Everbridge’s market-leading Digital Operations platform, provides automated service component diagnosis, visual root cause identification, and runbook automation to streamline incident response and accelerate resolution.”

Continued Darisi, “To be successful, our customers must have the time to innovate and deliver products and services that customers love, disruption free​. We solve technology issues before they become business problems. This brand-new capability serves as validation for our continued efforts to ensure our Digital Operations Platform meets and exceeds the needs of the modern workplace.”

Everbridge’s Service Intelligence provides the following capabilities:

- Rich two-way integrations with industry-leading AIOps and observability solutions to automate alert processing, drive resolution process and dark web response.

- The always-on Everbridge Digital Operations platform now receives direct, rich communication from leading AIOps and observability solutions such as Dynatrace or MoogSoft, Big Panda, DataDog.

- Service Intelligence receives anomaly alerts and incidents with all the necessary information (telemetry, dependency) needed by the teams to investigate and fix issues before they impact end users. Everbridge enriches signals over and above reducing signal noise and avoids distracting engineering teams by only relaying critical data to resolve issues faster.

- Automated diagnosis, actions, remediation, runbooks, and rich intelligent mobilization notifications save teams time and allows them to focus on the issues that matter. Two-way integration enables full system synchronization so users can track responses, comments, and actions. Further to observability, the platform connects to dark web management systems to allow customers to prepare and respond better to Cyber threats.

- Service component mapping and inspection for accelerated root cause identification: The Everbridge Digital Operations platform embeds services directly into its incident management capabilities to supercharge the response to digital service interruptions. By navigating through a built-in service dependency map, the intelligent service correlation engine identifies recent service changes (CI/CD cycles, code, infrastructure, feature toggles) and pinpoints the most likely root cause. The solution can then automatically identify, notify, and engage the team responsible for the quality of the service to minimize impact on users.

- On-demand runbook automation for faster recovery: Workflow designer provides no-code low-code configuration with a library of hundreds of integrated actions with all IT and DevOps tools, making it easy to set the service operations on autopilot. On activation, dynamic workflows will execute actions across all the different tools used by an organization and improve the teams’ efficiency by hiding complexity and gaining visibility across the end-end remediation scenario.

- Automated resolver mobilization and escalation for faster collaboration: With the understanding each organization uses different tools to effectively collaborate and timely communicate during incident response, the new release of Service Intelligence brings two new communication channels, Slack and Microsoft Teams for users to initiate incidents, notify team members, and create online meetings.

With its acquisition and integration of xMatters in 2021, Everbridge’s Digital Operations Platform helps organizations to save time, maintain customer satisfaction, deliver continuous service uptime and innovate. The platform extends Everbridge’s market-leading Critical Event Management (CEM) solutions to further support customers’ digital transformation efforts, providing 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.

The platform includes many powerful 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.

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 ...