Company: ASAN
Filing Date: 2025-12-02
Form Type: 10-Q
Source: 0001477720-25-000237
Chunk: 17

Company: Asana, Inc.
Filing Date: 2025-12-02
Form: 10-Q
Item: Part I, Item 3
Chunk 17
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, data protection, or security. We also cannot be sure that our insurance coverage will be adequate or sufficient to protect us from or to mitigate liabilities arising out of our privacy, data protection, and security practices, that such coverage will continue to be available on commercially reasonable terms or at all, or that such coverage will pay future claims.

In addition to experiencing a security incident, third parties may gather, collect, or infer sensitive information about us from public sources, data brokers, or other means that reveals competitively sensitive details about our organization and could be used to undermine our competitive advantage or market position. Additionally, our sensitive, proprietary, or confidential information could be leaked, disclosed, or revealed as a result of or in connection with our employees’ or vendors’ use of generative AI technologies. 

Furthermore, any sensitive information (including regulated, proprietary and confidential information, including personal information and business information) that we input into a third-party generative AI platform could be leaked or disclosed to others, including if sensitive information is used to train the third parties’ AI model. Additionally, where an AI model ingests personal information and makes connections using such information, those technologies may reveal other personal or sensitive information generated by the model.

Our use of AI and machine learning technologies in our products and operations gives rise to legal, business, and operational risks. Legal, regulatory, social and ethical issues relating to the use of AI and machine learning technologies in our products and business may result in reputational harm and liability.

Our platform integrates generative AI and machine learning technologies, which could be configured by customers for automated decision-making. The rapid evolution of AI, machine learning, and automated decision-making technologies require dedicated resources to develop, test, and maintain our product offerings and to help responsibly integrate such technologies into certain features to minimize unintended or harmful impacts to our customers. Uncertainty around new and emerging AI, machine learning, and automated decision-making technologies may require additional investment in the development of proprietary datasets, machine learning models, and systems to test for accuracy, bias, and other variables, which are often complex, may be costly, and could impact our profit margin as we expand the use of AI, machine learning, and/or automated decision-making technologies in our products. There are significant risks involved in developing, maintaining, and deploying these technologies internally and/or to customers and there can be no assurance that such technologies will enhance our products or benefit our customers or business.

Artificial intelligence-related technologies are subject to existing laws and regulations relating to privacy, data protection, security, intellectual