Skip to main content

Edgio Releases Protect and Perform Applications Bundles

Edgio announced the availability of its enterprise-level Protect and Perform Applications Bundles, a solution that combines Tier-1 web performance capabilities with a full-spectrum web security suite and enterprise-level Security Operations Center (SOC) support services – all in a single, comprehensive package.

The new offering eliminates complex billing structures and unpredictable costs associated with attack-based fees or seasonal traffic spikes, ensuring businesses are well-protected against security threats while optimizing web application performance at a predictable monthly cost.

The Application Bundles enable clients to experience the full suite of Edgio Applications – Sites, Performance and Security – at an entry point that makes sense for them. The offering comes complete with access to the Edgio SOC which includes event monitoring, crisis support, access to Edgio’s customer portal, and more. The Edgio Application Bundles come in four tiers - Free, Professional, Enterprise, and Premier - with each incremental tier offering additional features and services.

Key Components of the Edgio Application Bundles:

- Performance: Edgio Performance capabilities let users deliver lightning-fast web applications, combining an easy-to-use modern Content Delivery Network (CDN) with cutting-edge developer tools and workflows. Edgio lets teams deliver sub-second page loads, complete with dynamic caching, predictive pre-fetching capabilities, and advanced observability that builds confidence to deliver more frequently.

- Security: Edgio’s comprehensive Web Application and API Protection (WAAP) is built to ensure that websites and applications are protected against all aspects of web security exploits without sacrificing performance. A fully PCI-compliant platform that combines Web Application Firewall (WAF), DDoS Protection, Advanced Bot Manager and API Security to protect businesses against a variety of exploits including SQL injection (SQLi), remote code execution (RCE), cross-site-scripting (XSS), bot attacks, credential stuffing, application DDoS, API abuses and other exploits.

- Composable Site Hosting: Edgio’s site hosting enables companies to develop front-end applications on the edge with ease, using 40+ frameworks with automated deployment. And Edgio’s patented iterative migration makes replatforming faster and less risky. Developer teams can collaborate across teams with branch previews and unique links for every change.

- Security Operation Center (SOC): Edgio’s SOC offers 24/7 security monitoring and response services. Edgio’s global team of security experts serves as the extension of the customer's security operation team to detect and respond to threats identified across the Edgio platform and assist with all security escalations. The SOC leverages information provided by the threat intelligence service to identify malicious activities and provide threat intel to the customer via proactive alerting. The enterprise security team provides proactive consulting and recurring security updates to ensure customers maintain the most security configurations and keep up with the latest threat landscape.

The Latest

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 ...

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.

Edgio Releases Protect and Perform Applications Bundles

Edgio announced the availability of its enterprise-level Protect and Perform Applications Bundles, a solution that combines Tier-1 web performance capabilities with a full-spectrum web security suite and enterprise-level Security Operations Center (SOC) support services – all in a single, comprehensive package.

The new offering eliminates complex billing structures and unpredictable costs associated with attack-based fees or seasonal traffic spikes, ensuring businesses are well-protected against security threats while optimizing web application performance at a predictable monthly cost.

The Application Bundles enable clients to experience the full suite of Edgio Applications – Sites, Performance and Security – at an entry point that makes sense for them. The offering comes complete with access to the Edgio SOC which includes event monitoring, crisis support, access to Edgio’s customer portal, and more. The Edgio Application Bundles come in four tiers - Free, Professional, Enterprise, and Premier - with each incremental tier offering additional features and services.

Key Components of the Edgio Application Bundles:

- Performance: Edgio Performance capabilities let users deliver lightning-fast web applications, combining an easy-to-use modern Content Delivery Network (CDN) with cutting-edge developer tools and workflows. Edgio lets teams deliver sub-second page loads, complete with dynamic caching, predictive pre-fetching capabilities, and advanced observability that builds confidence to deliver more frequently.

- Security: Edgio’s comprehensive Web Application and API Protection (WAAP) is built to ensure that websites and applications are protected against all aspects of web security exploits without sacrificing performance. A fully PCI-compliant platform that combines Web Application Firewall (WAF), DDoS Protection, Advanced Bot Manager and API Security to protect businesses against a variety of exploits including SQL injection (SQLi), remote code execution (RCE), cross-site-scripting (XSS), bot attacks, credential stuffing, application DDoS, API abuses and other exploits.

- Composable Site Hosting: Edgio’s site hosting enables companies to develop front-end applications on the edge with ease, using 40+ frameworks with automated deployment. And Edgio’s patented iterative migration makes replatforming faster and less risky. Developer teams can collaborate across teams with branch previews and unique links for every change.

- Security Operation Center (SOC): Edgio’s SOC offers 24/7 security monitoring and response services. Edgio’s global team of security experts serves as the extension of the customer's security operation team to detect and respond to threats identified across the Edgio platform and assist with all security escalations. The SOC leverages information provided by the threat intelligence service to identify malicious activities and provide threat intel to the customer via proactive alerting. The enterprise security team provides proactive consulting and recurring security updates to ensure customers maintain the most security configurations and keep up with the latest threat landscape.

The Latest

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 ...

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.