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Sysdig Introduces Visibility and Security Platform 2.0

Sysdig announced the Sysdig Cloud-Native Visibility and Security Platform (VSP) 2.0, providing enterprises with a unified view of the risk, health, and performance of their cloud-native environments.

With this rich-data platform, service owners, DevOps, and security teams have access to a single source for performance metrics, compliance dashboards, security events, and more to eliminate risk and resolve problems fast. Sysdig fills the cloud-native visibility gap that emerged because legacy security and performance products are blinded by cloud-native architectures. A preview version of VSP 2.0 will be available next month.

“We work daily with the world’s largest financial institutions, government organizations, and media companies. They are all looking for ways to embrace DevSecOps to break down the communication and cost inefficiencies among team silos,” said Payal Chakravarty, VP of Product Management at Sysdig. “Based on their feedback, we created Platform 2.0 to analyze thousands of microservices and dynamically highlight the ones that have performance or security issues that need immediate attention. With a single, operational view to surface performance, compliance, vulnerabilities, and policy data, users are able to triage issues faster, reduce alert noise, and gain massive operational efficiency.”

Using the Overview App on Sysdig’s platform, an enterprise can get an aggregated view of this information tuned to different use cases:

- Service owners can ensure that they are shipping reliable, compliant, and vulnerability-free code pre-production, while understanding the performance of their code in production and whether bottlenecks are slowing downstream services.

- Platform operations and DevOps teams can ensure services are performing well while managing capacity allocation, infrastructure performance, and compliance across all clusters.

- Security teams can get a single, comprehensive view into vulnerability management, compliance, and run-time policy violations.

This overview then provides deep contextual information that allows users to dive deep into Sysdig Secure and Sysdig Monitor to analyze performance metrics, compliance dashboards, security forensics, and more to isolate and remediate problems faster than ever before.

With VSP, Sysdig further scales and simplifies the act of instrumenting, collecting, and storing the granular data required to secure and manage containerized microservices. Alongside this data lives two orders of magnitude more contextual information, for which Sysdig has designed its system to handle natively:

- A single agent based on the extended Berkeley Packet Filter (eBPF) to collect context-rich and deep performance and security data from hosts, containers, orchestrators, network, process, and files across clouds.

- A single, horizontally scalable data platform that ingests, analyzes, and provides operational insights across billions of data points.

- Multi-cloud design that allows Sysdig to run anywhere while securing applications across many clouds.

- Reduce operational overhead by 67 percent or more by eliminating the need for multiple tools.

- Enterprise controls such as Lightweight Directory Access Protocol (LDAP) and service-based access controls.

“By taking advantage of cloud-native architectures, enterprises can right many of the wrongs of legacy technology,” said Loris Degioanni, Founder and CTO of Sysdig. “Sysdig’s contribution is closing the visibility gap with a single platform that unifies performance and security data with all the context needed for highly distributed, ephemeral microservices. We’ve unlocked all this data for any use case, and we did it while reducing the instrumentation tax that enterprises are used to paying for safety and security.”

Sysdig built its platform with an open core, leveraging Falco, Prometheus, and Sysdig Inspect as core cloud-native building blocks for its enterprise-class product.

Sysdig’s history of supporting the Kubernetes and cloud-native ecosystem goes back to 2015. With VSP, Sysdig extends its leadership position in making Kubernetes even friendlier for the enterprise.

Key new Kubernetes-related features include:

- Enhanced Kubernetes monitoring and security with new out-of-the-box dashboards for capacity planning, control plane health and compliance trends, new default alerting rules, Kubernetes benchmark results, out-of-the-box Kubernetes audit policies, and integration with Kubernetes admission controllers.

- Support for new runtimes such as CRI-O and containerd.

- A topological view that dynamically understands Kubernetes orchestration, combining compliance violations, network connections, and performance metrics to provide a more holistic infrastructure status.

- The ability to use Kubernetes metadata to search, correlate, and scope events to narrow down root cause or assess risk profiles.

- Downstream integration forwards events to security information and event management (SIEM) tools such as Splunk.

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.

Sysdig Introduces Visibility and Security Platform 2.0

Sysdig announced the Sysdig Cloud-Native Visibility and Security Platform (VSP) 2.0, providing enterprises with a unified view of the risk, health, and performance of their cloud-native environments.

With this rich-data platform, service owners, DevOps, and security teams have access to a single source for performance metrics, compliance dashboards, security events, and more to eliminate risk and resolve problems fast. Sysdig fills the cloud-native visibility gap that emerged because legacy security and performance products are blinded by cloud-native architectures. A preview version of VSP 2.0 will be available next month.

“We work daily with the world’s largest financial institutions, government organizations, and media companies. They are all looking for ways to embrace DevSecOps to break down the communication and cost inefficiencies among team silos,” said Payal Chakravarty, VP of Product Management at Sysdig. “Based on their feedback, we created Platform 2.0 to analyze thousands of microservices and dynamically highlight the ones that have performance or security issues that need immediate attention. With a single, operational view to surface performance, compliance, vulnerabilities, and policy data, users are able to triage issues faster, reduce alert noise, and gain massive operational efficiency.”

Using the Overview App on Sysdig’s platform, an enterprise can get an aggregated view of this information tuned to different use cases:

- Service owners can ensure that they are shipping reliable, compliant, and vulnerability-free code pre-production, while understanding the performance of their code in production and whether bottlenecks are slowing downstream services.

- Platform operations and DevOps teams can ensure services are performing well while managing capacity allocation, infrastructure performance, and compliance across all clusters.

- Security teams can get a single, comprehensive view into vulnerability management, compliance, and run-time policy violations.

This overview then provides deep contextual information that allows users to dive deep into Sysdig Secure and Sysdig Monitor to analyze performance metrics, compliance dashboards, security forensics, and more to isolate and remediate problems faster than ever before.

With VSP, Sysdig further scales and simplifies the act of instrumenting, collecting, and storing the granular data required to secure and manage containerized microservices. Alongside this data lives two orders of magnitude more contextual information, for which Sysdig has designed its system to handle natively:

- A single agent based on the extended Berkeley Packet Filter (eBPF) to collect context-rich and deep performance and security data from hosts, containers, orchestrators, network, process, and files across clouds.

- A single, horizontally scalable data platform that ingests, analyzes, and provides operational insights across billions of data points.

- Multi-cloud design that allows Sysdig to run anywhere while securing applications across many clouds.

- Reduce operational overhead by 67 percent or more by eliminating the need for multiple tools.

- Enterprise controls such as Lightweight Directory Access Protocol (LDAP) and service-based access controls.

“By taking advantage of cloud-native architectures, enterprises can right many of the wrongs of legacy technology,” said Loris Degioanni, Founder and CTO of Sysdig. “Sysdig’s contribution is closing the visibility gap with a single platform that unifies performance and security data with all the context needed for highly distributed, ephemeral microservices. We’ve unlocked all this data for any use case, and we did it while reducing the instrumentation tax that enterprises are used to paying for safety and security.”

Sysdig built its platform with an open core, leveraging Falco, Prometheus, and Sysdig Inspect as core cloud-native building blocks for its enterprise-class product.

Sysdig’s history of supporting the Kubernetes and cloud-native ecosystem goes back to 2015. With VSP, Sysdig extends its leadership position in making Kubernetes even friendlier for the enterprise.

Key new Kubernetes-related features include:

- Enhanced Kubernetes monitoring and security with new out-of-the-box dashboards for capacity planning, control plane health and compliance trends, new default alerting rules, Kubernetes benchmark results, out-of-the-box Kubernetes audit policies, and integration with Kubernetes admission controllers.

- Support for new runtimes such as CRI-O and containerd.

- A topological view that dynamically understands Kubernetes orchestration, combining compliance violations, network connections, and performance metrics to provide a more holistic infrastructure status.

- The ability to use Kubernetes metadata to search, correlate, and scope events to narrow down root cause or assess risk profiles.

- Downstream integration forwards events to security information and event management (SIEM) tools such as Splunk.

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.