target audience: TECH BUYER Publication date: Dec 2023 - Document type: Tech Buyer Presentation - Doc Document number: # US51574623
Coordinating Software Testing with Security and Evolving Use of GenAI for Business Execution: Benefiting from Efficiencies of Scale with Effective Governance to Improve Software Quality and Resilience
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Abstract
This IDC Tech Buyer Presentation provides an overview of the market disruption caused by generative AI (GenAI) and the implications on software testing, application security testing, and business optimization. It also considers spending commitments for 2024 based on IDC's recent survey data.
Generative AI in 2023 is becoming interwoven across key software development and business automation solutions. The rapidity and scale at which this has been occurring has left little time for thoughtful consideration or analysis before organizations rush headlong into leveraging GenAI's efficiency, innovation, and other benefits to not be left behind competitively.
This document considers particularly the implications for automated software quality (ASQ) and software testing, security, and buying plans for 2024. It draws on insights from IDC's GenAI Awareness, Readiness, and Commitment: A First Look at IT Leaders' Expectations and Concerns for Generative AI (IDC #US51262523, September 2023) to investigate how IT and business leaders in enterprises around the world are assessing GenAI's potential impacts on their organizations in the next 18 months. It explores enterprise leaders' GenAI road map plans as well as the potential challenges and risks that GenAI poses for organizations. It also leverages data from Generative AI Adoption and Attitudes: A Survey of U.S. Developers (IDC #US50655123, May 2023); DevSecOps Adoption, Techniques, and Tools Survey, 2023 (IDC #US50137623, May 2023); DevOps Practices, Tooling, and Perceptions Survey (IDC #US49379723, January 2023); and IDC's Future Enterprise Resiliency and Spending Survey, Wave 10, November 2023.
In 2023, a new chapter of the digital business era started: AI everywhere. The dramatic increase in awareness of GenAI promises to drastically reduce the time and costs associated with a wide range of customer- and employee-facing use cases linked to automation and intelligence. This is changing our relationship with content as well as how we extract value from structured and unstructured data. So it is even more vital — as the technology matures and these relationships fundamentally and systemically change — to be thoughtful and proactive about adoption strategies for governance, including areas such as data, security, and the ethics informing the LLMs and GenAI models.
This presentation considers GenAI's evolving impact for organizations seeking to leverage key capabilities that are synergistic but not always as connected as they should be organizationally — ASQ and application security testing (AST) — and the needed application platforms that are evolving to support and unite the AI/ML model life cycles and DevOps and DevSecOps to enable business innovation.