We use machine learning and AI technologies in our offerings and business, including in our Arista Guardian for Network Identity offering, and we are making investments in expanding our AI capabilities in our products, services, and tools, including ongoing deployment and improvement of existing machine learning and AI technologies, as well as developing new product features using AI technologies. AI technologies are complex and rapidly evolving, and we face significant competition from other companies as well as evolving legal and regulatory landscapes. Laws and regulations applicable to AI continue to develop and may be inconsistent from jurisdiction to jurisdiction. For example, the European Union has reached political agreement on an Artificial Intelligence Act that, when finalized, would prohibit certain AI applications and systems and impose additional requirements on the use of certain applications or systems. The use of AI technologies in new or existing products may result in new or enhanced governmental or regulatory scrutiny, new or modified laws or regulations, claims, demands, and litigation, confidentiality, privacy, data protection, or security risks, ethical concerns, or other complications that could adversely affect our business, financial condition, results of operations and prospects.
Uncertainty around new and emerging AI technologies may require additional investment in the development and maintenance of proprietary datasets and machine learning models, development of new approaches and processes to provide attribution or remuneration to creators of training data, and development of appropriate protections, safeguards, and policies for handling the processing of data with AI technologies, which may be costly and could impact our expenses. AI technologies also present emerging ethical and social issues, including with respect to potential or actual bias reflected in, or flawed outputs of, models. AI technologies that we make use of may produce or create outputs that appear correct but are factually inaccurate or otherwise flawed, which may expose us to brand or reputational harm, competitive harm, regulatory scrutiny, and/or legal liability.