It identifies and helps remediate security vulnerabilities in. With a 'moderate' benefit rating, and a 20 to 50 target audience, Application Security Testing, or AST is one the most crucial emerging technologies and one of the most promising trends. Introduction to Gartner Hype Cycle for Application Security 2021. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Let us begin with an introduction to the 2021 Gartner Hype Cycle for AST. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. and internationally, and are used herein with permission. GARTNER and Hype Cycle are registered trademarks and service marks of Gartner, Inc. Gartner, Hype Cycle for Privacy, 2021, Bart Willemsen, 13 July 2021 Get your complimentary copy of the report here.
GARTNER HYPE CYCLE 2021 HOW TO
The more AI replaces human decisions at scale, the more it amplifies the positive and negative impacts of such decisions. The result of combining those techniques (among others) is a composite AI system that solves a wider range of business problems in a more efficient manner. Efficient use of data, models and computeĪs organizations continue to innovate in AI, they also need to efficiently use all resources - data, models and compute.įor example, composite AI is currently about combining "connectionist" AI approaches like deep learning, with "symbolic" AI approaches like rule-based reasoning, graph analysis, agent-based modeling or optimization techniques. It also offers a system for governance and lifecycle management of all AI (graphs, linguistic, rule-based systems and others) and decision models. ModelOps reduces the time it takes to move AI models from pilot to production with a principled approach that can help ensure a high degree of success.
Organizations should consider model operationalization (ModelOps) for operationalizing AI solutions. Gartner expects that by 2025, 70% of organizations will have operationalized AI architectures due to the rapid maturity of AI orchestration initiatives.