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Cloud-Native Architectures Break Traditional Approaches to Application Security

The rising adoption of cloud-native architectures, DevOps, and agile methodologies has broken traditional approaches to application security, according to Precise, automatic risk and impact assessment is key for DevSecOps, a new report from Dynatrace, based on an independent global survey of 700 CISOs.


As organizations shift more responsibility "left" to developers to accelerate innovation, increasingly complex IT ecosystems and outdated security tooling can slow releases by leaving blind spots and forcing teams to manually triage countless alerts, many of which are false positives reflecting vulnerabilities in libraries that are not used in production.

Organizations are calling for a new approach that is optimized for multicloud environments, Kubernetes, and DevSecOps.

This research reveals:

■ 89% of CISOs say microservices, containers, and Kubernetes have created application security blind spots.

■ 97% of organizations do not have real-time visibility into runtime vulnerabilities in containerized production environments.

■ Nearly two-thirds (63%) of CISOs say DevOps and Agile development have made it more difficult to detect and manage software vulnerabilities.

■ 74% of CISOs say traditional security controls such as vulnerability scanners no longer fit today's cloud-native world.

■ 71% of CISOs admit they are not fully confident code is free of vulnerabilities before going live in production.

"The increased use of cloud-native architectures has fundamentally broken traditional approaches to application security," said Bernd Greifeneder, Founder and Chief Technology Officer at Dynatrace. "This research confirms what we've long anticipated: manual vulnerability scans and impact assessments are no longer able to keep up with the pace of change in today's dynamic cloud environments and rapid innovation cycles. Risk assessment has become nearly impossible due to the growing number of internal and external service dependencies, runtime dynamics, continuous delivery, and polyglot software development which uses an ever-growing number of third-party technologies. Already stretched teams are forced to choose between speed and security, exposing their organizations to unnecessary risk."

Additional findings include:

■ On average, organizations need to react to 2,169 new alerts of potential application security vulnerabilities each month.

■ 77% of CISOs say most security alerts and vulnerabilities are false positives that do not require actioning as they are not actual exposures.

■ 68% of CISOs say the volume of alerts makes it very difficult to prioritize vulnerabilities based on risk and impact.

■ 64% of CISOs say developers do not always have time to resolve vulnerabilities before code moves into production.

■ 77% of CISOs say the only way for security to keep up with modern cloud-native application environments is to replace manual deployment, configuration, and management with automated approaches.

■ 28% of CISOs say application teams sometimes bypass vulnerability scans to speed up software delivery.

"As organizations embrace DevSecOps, they also need to give their teams solutions that offer automatic, continuous, and real-time risk and impact analysis for every vulnerability, across both pre-production and production environments, and not based on point-in-time 'snapshots'," continued Greifeneder.

Methodology: The report is based on a global survey of 700 CISOs in large enterprises with over 1,000 employees, conducted by Coleman Parkes and commissioned by Dynatrace in 2021. The sample included 200 respondents in the US, 100 in the UK, France, Germany, and Spain, and 50 in Brazil and Mexico, respectively.

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Cloud-Native Architectures Break Traditional Approaches to Application Security

The rising adoption of cloud-native architectures, DevOps, and agile methodologies has broken traditional approaches to application security, according to Precise, automatic risk and impact assessment is key for DevSecOps, a new report from Dynatrace, based on an independent global survey of 700 CISOs.


As organizations shift more responsibility "left" to developers to accelerate innovation, increasingly complex IT ecosystems and outdated security tooling can slow releases by leaving blind spots and forcing teams to manually triage countless alerts, many of which are false positives reflecting vulnerabilities in libraries that are not used in production.

Organizations are calling for a new approach that is optimized for multicloud environments, Kubernetes, and DevSecOps.

This research reveals:

■ 89% of CISOs say microservices, containers, and Kubernetes have created application security blind spots.

■ 97% of organizations do not have real-time visibility into runtime vulnerabilities in containerized production environments.

■ Nearly two-thirds (63%) of CISOs say DevOps and Agile development have made it more difficult to detect and manage software vulnerabilities.

■ 74% of CISOs say traditional security controls such as vulnerability scanners no longer fit today's cloud-native world.

■ 71% of CISOs admit they are not fully confident code is free of vulnerabilities before going live in production.

"The increased use of cloud-native architectures has fundamentally broken traditional approaches to application security," said Bernd Greifeneder, Founder and Chief Technology Officer at Dynatrace. "This research confirms what we've long anticipated: manual vulnerability scans and impact assessments are no longer able to keep up with the pace of change in today's dynamic cloud environments and rapid innovation cycles. Risk assessment has become nearly impossible due to the growing number of internal and external service dependencies, runtime dynamics, continuous delivery, and polyglot software development which uses an ever-growing number of third-party technologies. Already stretched teams are forced to choose between speed and security, exposing their organizations to unnecessary risk."

Additional findings include:

■ On average, organizations need to react to 2,169 new alerts of potential application security vulnerabilities each month.

■ 77% of CISOs say most security alerts and vulnerabilities are false positives that do not require actioning as they are not actual exposures.

■ 68% of CISOs say the volume of alerts makes it very difficult to prioritize vulnerabilities based on risk and impact.

■ 64% of CISOs say developers do not always have time to resolve vulnerabilities before code moves into production.

■ 77% of CISOs say the only way for security to keep up with modern cloud-native application environments is to replace manual deployment, configuration, and management with automated approaches.

■ 28% of CISOs say application teams sometimes bypass vulnerability scans to speed up software delivery.

"As organizations embrace DevSecOps, they also need to give their teams solutions that offer automatic, continuous, and real-time risk and impact analysis for every vulnerability, across both pre-production and production environments, and not based on point-in-time 'snapshots'," continued Greifeneder.

Methodology: The report is based on a global survey of 700 CISOs in large enterprises with over 1,000 employees, conducted by Coleman Parkes and commissioned by Dynatrace in 2021. The sample included 200 respondents in the US, 100 in the UK, France, Germany, and Spain, and 50 in Brazil and Mexico, respectively.

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While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...