Despite Low Adoption, DevSecOps Improves Incident Detection and Response
August 30, 2022

Tucker Callaway
Mezmo

It's no shock that many organizations have adopted modern software development processes and are leveraging cloud platforms. Some of these companies are already incorporating security into their software development lifecycle (SDLC), while others see it as a mountain they have yet to scale.

A new report from observability data platform provider Mezmo and Enterprise Strategy Group (ESG) shows that the current adoption of DevSecOps is low but it's poised for future growth. Based on a survey of 200 DevOps and IT/information security professionals, only 22% of organizations have a formal DevSecOps strategy, but 62% are evaluating use cases or have a plan to implement it.

DevSecOps is set to gain market traction as it accelerates detecting and responding to attacks in an organization's infrastructure. Most organizations leveraging DevSecOps report improvements in incident detection (95%) and response (96%) efforts. If developers can quickly get accurate information on coding issues that need to be fixed within their workflows, they can efficiently remediate security issues. Of those who've implemented DevSecOps, 84% believe getting developers the right data and tools is the key to success.

Roadblocks to DevSecOps Success

According to the survey, many participants who have not yet transitioned to DevSecOps responded that they anticipated the biggest challenges would be creating a collaborative culture and leveraging security best practices. However, those who have adopted DevSecOps revealed that data capture and analysis are the top obstacles.

As organizations increase the speed and volume of releases to serve more customers, they collect huge amounts of data. Organizations report capturing hundreds of terabytes (32%) and even petabytes (6%) of data per month.

Capturing, processing, and storing this amount of data is costly, which is why it's no surprise that most organizations (69%) don't capture specific data sources. This is a problem if there's an incident and the organization has incomplete data for a comprehensive analysis and quick response. Not to mention this scale of data is time-consuming to analyze, especially if you don't have the right tools in place to parse and route it. An average of 17.5 person-hours is the time it takes to triage and understand security incidents—an amount that 82% of companies would like to reduce.

Observability Data Drives Efficiency

To move fast and build secure applications, organizations need solutions that help them fully harness the value of their data. They must choose the right tools that optimize speed and efficiency and work for multiple data consumers, including developers, ITOps, and security. Leveraging observability data can help drive efficiency by providing insight for better troubleshooting, debugging, and incident response.

Many organizations (91%) use more than one tool to get the most value from their data. This makes it hard for multiple teams to access the data they need to do their jobs. Not having a "single source of truth" (55%) is the greatest challenge holding teams back.

As the report reveals, DevSecOps can be a game-changer for organizations. To overcome current obstacles, a successful strategy involves incorporating security tools and processes into development so that developers can build and deploy secure applications without being slowed down.

Tucker Callaway is CEO of Mezmo
Share this

Industry News

May 13, 2025

Pegasystems unveiled Pega Predictable AI™ Agents that give enterprises extraordinary control and visibility as they design and deploy AI-optimized processes.

May 13, 2025

Kong announced the introduction of the Kong Event Gateway as a part of their unified API platform.

May 13, 2025

Azul and Moderne announced a technical partnership to help Java development teams identify, remove and refactor unused and dead code to improve productivity and dramatically accelerate modernization initiatives.

May 13, 2025

Parasoft has added Agentic AI capabilities to SOAtest, featuring API test planning and creation.

May 13, 2025

Zerve unveiled a multi-agent system engineered specifically for enterprise-grade data and AI development.

May 12, 2025

LambdaTest, a unified agentic AI and cloud engineering platform, has announced its partnership with MacStadium(link is external), the industry-leading private Mac cloud provider enabling enterprise macOS workloads, to accelerate its AI-native software testing by leveraging Apple Silicon.

May 12, 2025

Tricentis announced a new capability that injects Tricentis’ AI-driven testing intelligence into SAP’s integrated toolchain, part of RISE with SAP methodology.

May 12, 2025

Zencoder announced the launch of Zen Agents, delivering two innovations that transform AI-assisted development: a platform enabling teams to create and share custom agents organization-wide, and an open-source marketplace for community-contributed agents.

May 08, 2025

AWS announced the preview of the Amazon Q Developer integration in GitHub.

May 08, 2025

The OpenSearch Software Foundation, the vendor-neutral home for the OpenSearch Project, announced the general availability of OpenSearch 3.0.

May 08, 2025

Jozu raised $4 million in seed funding.

May 07, 2025

Wix.com announced the launch of the Wix Model Context Protocol (MCP) Server.

May 07, 2025

Pulumi announced Pulumi IDP, a new internal developer platform that accelerates cloud infrastructure delivery for organizations at any scale.

May 07, 2025

Qt Group announced plans for significant expansion of the Qt platform and ecosystem.

May 07, 2025

Testsigma introduced autonomous testing capabilities to its automation suite — powered by AI coworkers that collaborate with QA teams to simplify testing, speed up releases, and elevate software quality.