PALO ALTO, Calif.--(BUSINESS WIRE)--Data Theorem, Inc., a leading provider of modern application security, today announced that it was mentioned as a Sample Vendor in three recent Gartner Hype Cycle Reports: Hype Cycle for Application Security, 20191, Hype Cycle for DevOps, 20192, and Hype Cycle for I&O Automation, 20193.
Gartner identified Data Theorem as a Sample Vendor for API Security Testing and Discovery, Serverless Application Security, and DevSecOps. For more information, and to view a copy of the Gartner Hype Cycle for Application Security, 2019, see http://www.datatheorem.com/resources/reports/gartner-hype-cycle-2019/.
According to the Gartner Hype Cycle for Application Security, 2019, “API security testing solutions can offer significant benefits by allowing organizations to design more secure and resilient APIs, which in turn enables greater confidence and speed in their deployment. Thus, security can help enable an organization’s digital transformation efforts. Eliminating exploitable vulnerabilities obviously makes it more difficult for attackers to gain access to applications and systems exposed via APIs. Since APIs are a significant emerging attack vector, security testing helps avoid the tangible and intangible costs associated with breaches and other types of security incidents.”
According to the Gartner Hype Cycle for Application Security, 2019; Hype Cycle for DevOps, 2019; and Hype Cycle for I&O Automation, 2019, “As IT development and operations processes become more agile (including shifts to DevOps operating models), security must not be an afterthought and should be seamlessly integrated into agile development processes — DevSecOps. Furthermore, the externalization of security policy enables business units and security organizations, not developers, to define appropriate policies. Policy-driven automation of security infrastructure improves compliance, the quality of security enforcement and developer efficiency, as well as overall IT effectiveness.”
“We believe being recognized by Gartner as a Sample Vendor in these reports validates the need for API testing and DevSecOps processes early on in organizations’ DevOps lifecycle,” said Doug Dooley, Data Theorem COO. “Organizations using Data Theorem benefit from our unique ability to deliver continuous, fully automated security for organizations’ mobile and API environments.”
Data Theorem’s API Discover and API Inspect together address security concerns such as Shadow APIs, Serverless Applications, and API Gateway cross-check validation by conducting continuous security assessments on API authentication, authorization, encryption, availability, cloud storage, databases, serverless functions, and policy compliance. The API security solutions support Amazon Web Services, Google Cloud, and Microsoft Azure to discover modern APIs and to enumerate the specification using standards such as Swagger and Open API 3.0.
Note 1 – Gartner, Inc. “Hype Cycle for Application Security, 2019” by Mark Horvath. July 30, 2019.
Note 2 – Gartner, Inc. “Hype Cycle for DevOps, 2019” by George Spafford, Joachim Herschmann. July 17, 2019.
Note 3 – Gartner, Inc. “Hype Cycle for I&O Automation, 2019” by Manjunath Bhat. July 18, 2019.
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About Data Theorem
Data Theorem is a leading provider of modern application security. Its core mission is to analyze and secure any modern application anytime, anywhere. The Data Theorem Analyzer Engine continuously scans APIs and mobile applications in search of security flaws and data privacy gaps. Data Theorem products help organizations build safer applications that maximize data security and brand protection. The company has detected more than 300 million application eavesdropping incidents and currently secures more than 4,000 modern applications for its enterprise customers around the world. Data Theorem is headquartered in Palo Alto, Calif.; with offices in New York; Paris; and Bangalore, India. For more information visit www.datatheorem.com.
Data Theorem and TrustKit are trademarks of Data Theorem, Inc. All other trademarks are the property of their respective owners.