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Cisco Secure Application Released

Cisco announced the availability of Cisco Secure Application (previously Security Insights for Cloud Native Application Observability) on the Cisco Full-Stack Observability Platform, enabling organizations to bring together application and security teams to securely develop and deploy modern applications.

The latest release of Cisco Secure Application helps customers to securely manage cloud native applications in addition to hybrid applications.

The new Cisco Secure Application offering – now available on Cisco's recently launched Full-Stack Observability Platform - arms customers with expanded visibility and intelligent business risk insights across cloud environments, empowering businesses to better prioritize and respond in real-time to revenue and reputation-impacting security risks and reduce overall organizational risk profiles.

Cisco Secure Application integrates with Cisco's industry leading security products and enables customers to:

- Locate and highlight security issues across application entities, including services, workloads, pods, containers and business transactions, and isolate them at speed.

- Prioritize issues with a business risk score that combines application performance data and business impact context from Cisco's own Cloud Native Application Observability, with real-time vulnerability detection and security intelligence from Cisco's security products, to identify which business transactions present the greatest risk.

- Accelerate response time to security incidents with real-time remediation guidance, complete with prescriptive actions to prioritize and address the most impactful security vulnerabilities.

"Application security has never been a more pressing priority for businesses, and traditional vulnerability scanning solutions simply don't provide the information that teams need," said Ronak Desai, SVP and GM, Cisco Full-Stack Observability and AppDynamics. "An organization's ability to quickly assess risks based on potential business impact, align teams and triage threats is entirely dependent on understanding where vulnerabilities exist, the severity of those risks, the likelihood they will be exploited, and the risk to the business of each issue. This business risk observability can help IT professionals understand and prioritize those risks and is uniquely delivered by Cisco. The availability of Cisco Secure Application on the Cisco Full-Stack Observability Platform is a critical next step in our commitment to providing customers with the tools they need to deliver unmatched and secure digital experiences across hybrid and multi-cloud environments."

"The successful digital infrastructure must operate as a concert – not as a collection of separate products, providers, and people. This requires all components – from core to edge, from network to applications, from on-premises systems to public cloud and communications services – to work as one to deliver the best digital experiences," asserts Mark Leary, Research Director, IDC. "Cisco's extensive domain experience across hybrid and multi-cloud environments and comprehensive full tech stack oversight positions the company well to help customers bring application observability, security intelligence data, and business risk observability together. Combined, they give customers access to the critical information they need to make smart decisions about their application security."

Cisco Secure Application is available now.

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 ...

Cisco Secure Application Released

Cisco announced the availability of Cisco Secure Application (previously Security Insights for Cloud Native Application Observability) on the Cisco Full-Stack Observability Platform, enabling organizations to bring together application and security teams to securely develop and deploy modern applications.

The latest release of Cisco Secure Application helps customers to securely manage cloud native applications in addition to hybrid applications.

The new Cisco Secure Application offering – now available on Cisco's recently launched Full-Stack Observability Platform - arms customers with expanded visibility and intelligent business risk insights across cloud environments, empowering businesses to better prioritize and respond in real-time to revenue and reputation-impacting security risks and reduce overall organizational risk profiles.

Cisco Secure Application integrates with Cisco's industry leading security products and enables customers to:

- Locate and highlight security issues across application entities, including services, workloads, pods, containers and business transactions, and isolate them at speed.

- Prioritize issues with a business risk score that combines application performance data and business impact context from Cisco's own Cloud Native Application Observability, with real-time vulnerability detection and security intelligence from Cisco's security products, to identify which business transactions present the greatest risk.

- Accelerate response time to security incidents with real-time remediation guidance, complete with prescriptive actions to prioritize and address the most impactful security vulnerabilities.

"Application security has never been a more pressing priority for businesses, and traditional vulnerability scanning solutions simply don't provide the information that teams need," said Ronak Desai, SVP and GM, Cisco Full-Stack Observability and AppDynamics. "An organization's ability to quickly assess risks based on potential business impact, align teams and triage threats is entirely dependent on understanding where vulnerabilities exist, the severity of those risks, the likelihood they will be exploited, and the risk to the business of each issue. This business risk observability can help IT professionals understand and prioritize those risks and is uniquely delivered by Cisco. The availability of Cisco Secure Application on the Cisco Full-Stack Observability Platform is a critical next step in our commitment to providing customers with the tools they need to deliver unmatched and secure digital experiences across hybrid and multi-cloud environments."

"The successful digital infrastructure must operate as a concert – not as a collection of separate products, providers, and people. This requires all components – from core to edge, from network to applications, from on-premises systems to public cloud and communications services – to work as one to deliver the best digital experiences," asserts Mark Leary, Research Director, IDC. "Cisco's extensive domain experience across hybrid and multi-cloud environments and comprehensive full tech stack oversight positions the company well to help customers bring application observability, security intelligence data, and business risk observability together. Combined, they give customers access to the critical information they need to make smart decisions about their application security."

Cisco Secure Application is available now.

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 ...