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shift more responsibility "left" to developers to accelerate innovation, increasingly complex IT ecosystems and outdated security tooling can slow releases by leaving blind spots and forcing teams to manually triage countless alerts, many of which are false positives reflecting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.
The Latest
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...
Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...
We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...
From the accelerating adoption of artificial intelligence (AI) and generative AI (GenAI) to the ongoing challenges of cost optimization and security, these IT leaders are navigating a complex and rapidly evolving landscape. Here's what you should know about the top priorities shaping the year ahead ...
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...