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DevSecOps Product Category Noted in Gartner Hype Cycle for Application Security, 2020 Report, with a Transformational Benefit Rating

Data Theorem, Inc., a leading provider of modern application security, today announced that the Gartner Hype Cycle for Application Security, 2020 report has identified DevSecOps as the only application security product category with a benefit rating of "transformational," a rating that is defined as enabling "new ways of doing business across industries that will result in major shifts in industry dynamics." The comprehensive report defines and tracks adoption of innovations in the application security space that help enable security and risk management (SRM) leaders to protect against application-level attacks and manage application risk. The report also discusses the business impact and benefits customers could likely gain from these innovations.

According to Gartner, "DevSecOps is the integration of security and compliance testing into emerging agile IT and DevOps development pipelines as seamlessly and transparently as possible, ideally without reducing the agility or speed of developers or requiring them to leave their development environment. Ideally, offerings provide security protection at runtime as well...Originally proposed by Gartner in 2012, adoption of DevSecOps takes time, but interest is high."

Data Theorem's broad AppSec portfolio protects organizations from data breaches with application security testing and protection for modern web frameworks, API-driven microservices and cloud resources. Its solutions are powered by its award-winning Analyzer Engine, which leverages a new type of dynamic and runtime analysis that is fully integrated into the CI/CD process, and enables organizations to conduct continuous, automated security inspection and remediation. Data Theorem's AppSec portfolio secures mobile apps, cloud-driven APIs, and modern web applications.

For more information, see a copy of the Hype Cycle for Application Security, 2020 report at https://www.datatheorem.com/resources/gartner-hype-cycle-2020.

According to Gartner, "Leading security vendors are evolving their solutions to become more programmable, laying the foundation for higher levels of automation and orchestration from testing into deployment. DevOps (often combined with container/Kubernetes adoption and programmatic cloud infrastructure) is being driven by developers in the name of speed and agility. Security must be a part of this shift, but in a way that respects the collaborative nature of DevOps. Security cannot be siloed, which forces developers outside of their toolchain to perform security testing."

Data Theorem was cited in four AppSec product categories in the Hype Cycle for Application Security, 2020 report. In addition to being listed as a Sample Vendor in the DevSecOps product category, the company was also listed as a Sample Vendor in the API Security Testing and Discovery, API Threat Protection, and Serverless Function Security product categories. The API Security Testing and Discovery and API Threat Protection product categories have a benefit rating of "high," a rating defined as enabling "new ways of performing horizontal or vertical processes that will result in significantly increased revenue or cost savings for an enterprise."

"We believe being recognized as a Sample Vendor by Gartner in four AppSec product categories, particularly in DevSecOps which is rated transformational, validates the differentiated real-world ROI (return on investment) Data Theorem delivers protecting organizations' API and DevOps environments," said Doug Dooley, Data Theorem COO. "With the rise in modern web frameworks, API-driven microservices and serverless cloud functions, companies are challenged with keeping tabs of the APIs being used within their organizations, let alone securing them. Data Theorem uniquely addresses these AppSec security issues by delivering continuous, fully automated security analysis and remediation for API, mobile, web, and cloud environments."

Published Thursday, October 15, 2020 9:41 AM by David Marshall
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