Tenable Holdings, Inc.

Previous wording

We rely on third-party service providers and technologies to operate critical business systems, including processing confidential and sensitive information, including, without limitation, cloud-based infrastructure, data center facilities, encryption and authentication technology, employee email and other functions. We also rely on third-party service providers to provide other products, services, or otherwise, to operate our business and elements of our infrastructure, including endpoints. Our ability to monitor these third parties' information security practices is limited, and these third parties may not have adequate information security measures in place. Additionally, software errors or vulnerabilities in these third-party technologies could result in significant disruptions to our information technology systems, leading to downtime, data loss, or compromised data integrity.

Current wording

We rely on third-party service providers and technologies to operate critical business systems, including processing confidential and sensitive information, including, without limitation, cloud-based infrastructure, data center facilities, encryption and authentication technology, employee email and other functions. We also rely on third-party service providers to provide other products, services, or otherwise, to operate our business and elements of our infrastructure, including endpoints. Our ability to monitor these third parties' information security practices is limited, and these third parties may not have adequate information security measures in place. Additionally, software errors or vulnerabilities in these third-party technologies could result in significant disruptions to our information technology systems, leading to downtime, data loss, or compromised data integrity. Our use of generative AI technologies may increase the risks associated with open source software and other third-party components, including where such technologies retrieve or recommend malicious or vulnerable code from public repositories or other third-party sources that may be used without appropriate review.

Previous wording

We have incorporated and may in the future further incorporate AI technologies, including generative AI, into certain of our products and services. These technologies are subject to new and developing regulatory frameworks and may create operational, financial, regulatory, and reputational risks based on development practices or reliance on AI outputs that are inaccurate or flawed. These technologies may not achieve market acceptance and may pose other adverse consequences to our business, some of which we may not know or be able to quantify at this time.

Current wording

We have incorporated and expect to continue to incorporate and further expand our use of AI technologies, including generative AI, into certain of our products and services. These technologies are subject to new and developing regulatory frameworks and may create operational, financial, regulatory, and reputational risks based on development practices or reliance on AI outputs that are inaccurate or flawed. These technologies may not achieve market acceptance and may pose other adverse consequences to our business, some of which we may not know or be able to quantify at this time.

Previous wording

We have incorporated and may in the future further incorporate AI features in certain of our products and services, including ExposureAI and Tenable AI Assistant and within Tenable One. The use of AI technologies, including generative AI processes, at scale is relatively new, and may lead to challenges, concerns and risks, including various privacy and security risks that are significant or that we may not be able to predict, especially if our use of these technologies in our products and services becomes more important to our operations over time. The technologies underpinning these features are in the early stages of commercial use and exist in an emerging regulatory environment with heightened regulatory scrutiny, which presents regulatory, litigation, ethical, safety, reputational, operational and financial risks. AI in our products and services may be complex to deploy successfully due to operational issues inherent to the nature of such technologies, including the availability, development, maintenance and operation of deep learning datasets and third-party dependencies.

Current wording

We have incorporated and expect to continue to incorporate and further expand our use of AI features in certain of our products and services, including ExposureAI, Tenable AI Assistant and Hexa AI within Tenable One. The use of AI technologies, including generative AI processes, at scale is relatively new, and may lead to challenges, concerns and risks, including various privacy and security risks that are significant or that we may not be able to predict, especially if our use of these technologies in our products and services becomes more important to our operations over time. The technologies underpinning these features are in the early stages of commercial use and exist in an emerging regulatory environment with heightened regulatory scrutiny, which presents regulatory, litigation, ethical, safety, reputational, operational and financial risks. AI in our products and services may be complex to deploy successfully due to operational issues inherent to the nature of such technologies, including the availability, development, maintenance and operation of deep learning datasets and third-party dependencies.

Previous wording

Uncertainty in the legal regulatory regime relating to AI and emerging ethical issues surrounding the use of AI may require significant resources to modify and maintain business practices to comply with U.S. and non-U.S. laws, the nature of which cannot be determined at this time. Existing laws and regulations may apply to us or our suppliers, vendors, partners and customers in new ways, and new laws and regulations may be instituted. Many U.S. and international governmental bodies and regulators have proposed, enacted or are in the process of developing, new regulations related to the use of AI and machine learning technologies, including the EU AI Act, Colorado AI Act, California Bot Disclosure Law, and Utah AI Policy Act, as well as regulations on certain high-risk automated decisions, such as those in the employment context. For example, the EU AI Act, which applies beyond the European Union’s borders and establishes obligations for AI providers and those deploying AI systems, sets out a risk-based framework that subjects certain AI technologies to numerous compliance obligations, such as transparency, conformity and risk assessment, monitoring and human oversight requirements. Under the EU AI Act, non-compliant companies may be subject to administrative fines of up to 35 million Euros or 7% of a company's total worldwide annual turnover for the preceding financial year, whichever is higher. Certain of our activities subject us to the EU AI Act and other U.S. and non-U.S. laws governing AI or data processed in connection with AI. We expect other jurisdictions may adopt similar or potentially more restrictive laws, which may render the use of such technologies challenging. The final form of these may impose obligations related to our development, offering and use of AI technologies and expose us to increased risk of regulatory enforcement and litigation. We may have to amend our business practices, contractual arrangements, and services to comply with such obligations. In addition to formal legislation, governmental authorities may take enforcement or administrative actions that restrict the use of specific AI technologies. For example, federal agencies have designated Anthropic as a supply chain risk. This or similar enforcement or administrative actions could result in prohibitions on the use of Anthropic's models in our solutions. Such actions could force us to decouple or replace integrated technologies on short notice, resulting in significant engineering costs, service disruptions, and the loss of critical product functionality.

Current wording

Uncertainty in the legal regulatory regime relating to AI and emerging ethical issues surrounding the use of AI may require significant resources to modify and maintain business practices to comply with U.S. and non-U.S. laws, the nature of which cannot be determined at this time. Existing laws and regulations may apply to us or our suppliers, vendors, partners and customers in new ways, and new laws and regulations may be instituted. Many U.S. and international governmental bodies and regulators have proposed, enacted or are in the process of developing, new regulations related to the use of AI and machine learning technologies, including the EU AI Act, Colorado AI Act, California Bot Disclosure Law, and Utah AI Policy Act, as well as regulations on certain high-risk automated decisions, such as those in the employment context. For example, the EU AI Act, which applies beyond the European Union’s borders and establishes obligations for AI providers and those deploying AI systems, sets out a risk-based framework that subjects certain AI technologies to numerous compliance obligations, such as transparency, conformity and risk assessment, monitoring and human oversight requirements. Under the EU AI Act, non-compliant companies may be subject to administrative fines of up to 35 million Euros or 7% of a company's total worldwide annual turnover for the preceding financial year, whichever is higher. Certain of our activities subject us to the EU AI Act and other U.S. and non-U.S. laws governing AI or data processed in connection with AI. We expect other jurisdictions may adopt similar or potentially more restrictive laws, which may render the use of such technologies challenging. The final form of these may impose obligations related to our development, offering (including import and export thereof) and use of AI technologies and expose us to increased risk of regulatory enforcement and litigation. We may have to amend our business practices, contractual arrangements, products and/or services to comply with such obligations. In addition to formal legislation, governmental authorities may take enforcement or administrative actions that restrict the use of specific AI technologies. For example, federal agencies have designated Anthropic as a supply chain risk, a designation Anthropic has challenged in ongoing federal litigation and whose ultimate scope and enforceability remains uncertain. This or similar enforcement or administrative actions or changes in export controls, trade sanctions or other regulatory restrictions impacting AI technologies and frontier models could result in prohibitions on the use of Anthropic's and/or other frontier AI models in our solutions. Such actions could force us to decouple or replace integrated technologies on short notice, resulting in significant engineering costs, service disruptions, and the loss of critical product functionality.

Previous wording

Our AI technology features may also generate output that is misleading, insecure, inaccurate, harmful or otherwise flawed. Agentic AI solutions may compound those risks by taking or implementing actions or outputs, which themselves may be based on flawed outputs, that further increase the risk of misleading, insecure, inaccurate, harmful or otherwise flawed outcomes. This risk extends to our enterprise operations, as employee use of unvetted third-party agentic AI solutions, such as browser plug-ins or other automated applications, could result in actions being taken without adequate human review or monitoring. Such unauthorized automated actions could, for example, lead to the inadvertent disclosure or modification of corporate data or other sensitive information, flawed communications to customers or partners, or the creation of unintended legal or financial obligations on behalf of the company. Our customers or others may rely on or use such misleading, insecure, harmful or otherwise flawed content to their detriment, which may harm our brand, reputation, business or customers, cause competitive harm or expose us to legal liability. For example, AI algorithms use machine learning and predictive analytics which may be insufficient or of poor quality and reflect inherent biases and could lead to flawed, biased, and inaccurate results. Deficient or inaccurate recommendations, forecasts, or analyses that generative AI applications assist in producing could lead to customer rejection or skepticism of our products, affect our reputation or brand, and negatively affect our financial results. Further, unauthorized use or misuse of AI by our employees or others may result in disclosure of confidential company and customer data, reputational harm, privacy law violations and legal liability. Our use of generative AI may also lead to novel and urgent cybersecurity risks, including those related to personal data, which may adversely affect our operations and reputation, and these risks likely are compounded by our use of agentic AI.

Current wording

Our AI technology features may also generate output that is misleading, insecure, inaccurate, harmful or otherwise flawed. Agentic AI solutions may compound those risks by taking or implementing actions or outputs, which themselves may be based on flawed outputs, that further increase the risk of misleading, insecure, inaccurate, harmful or otherwise flawed outcomes. This risk extends to our enterprise operations, as employee use of third-party agentic AI solutions, such as browser plug-ins or other automated applications, could result in actions being taken without adequate human review or monitoring. Such unauthorized automated actions could, for example, lead to the inadvertent disclosure or modification of corporate data or other sensitive information, flawed communications to customers or partners, or the creation of unintended legal or financial obligations on behalf of the company. Our customers or others may rely on or use such misleading, insecure, harmful or otherwise flawed content to their detriment, which may harm our brand, reputation, business or customers, cause competitive harm or expose us to legal liability. For example, AI algorithms use machine learning and predictive analytics which may be insufficient or of poor quality and reflect inherent biases and could lead to flawed, biased, and inaccurate results. Deficient or inaccurate recommendations, forecasts, or analyses that generative AI applications assist in producing could lead to customer rejection or skepticism of our products, affect our reputation or brand, and negatively affect our financial results. Further, unauthorized use or misuse of AI by our employees or others may result in disclosure of confidential company and customer data, reputational harm, privacy law violations and legal liability. Our use of generative AI may also lead to novel and urgent cybersecurity risks, including those related to personal data, which may adversely affect our operations and reputation, and these risks likely are compounded by our use of agentic AI.

Previous wording

A portion of our revenue is generated from subscriptions and perpetual licenses sold to governmental entities in the United States. Additionally, many of our current and prospective customers, such as those in the financial services, energy, insurance and healthcare industries, are highly regulated and may be required to comply with more stringent regulations in connection with subscribing to and implementing our enterprise platform. Selling licenses to these entities can be highly competitive, expensive and time-consuming, often requiring significant upfront time and expense without any assurance that we will successfully complete a sale. Governmental demand and payment for our enterprise platform may also be impacted by public sector budgetary cycles and funding authorizations, the operational stability of federal agencies, and the prioritization of cybersecurity and digital infrastructure initiatives. Funding reductions or delays, including those resulting from a U.S. government shutdown, reductions or eliminations of agency operating budgets or deprioritization of cybersecurity digital infrastructure related initiatives would adversely affect public sector demand for our enterprise platform. For example, the U.S. presidential administration's priorities and actions to reduce government spending, including, but not limited to, those previously driven by the Department of Government Efficiency, may impact the availability of funding for U.S. government customers as a result of the elimination of departments and personnel. These actions may lead to elongated sales cycles and procurement decisions and could result in fewer contract opportunities or reduced funding for existing initiatives, all of which would adversely affect our business and financial performance. In addition, governmental entities have the authority to terminate contracts at any time for the convenience of the government, which creates risk regarding revenue anticipated under our existing government contracts.

Current wording

A portion of our revenue is generated from subscriptions and perpetual licenses sold to governmental entities in the United States. Additionally, many of our current and prospective customers, such as those in the financial services, energy, insurance and healthcare industries, are highly regulated and may be required to comply with more stringent regulations in connection with subscribing to and implementing our enterprise platform. Selling licenses to these entities can be highly competitive, expensive and time-consuming, often requiring significant upfront time and expense without any assurance that we will successfully complete a sale. Governmental demand and payment for our enterprise platform may also be impacted by public sector budgetary cycles, funding authorizations and budget shortfalls, the operational stability of government agencies, and the prioritization of cybersecurity and digital infrastructure initiatives. Funding reductions or delays, including those resulting from a U.S. government shutdown, reductions or eliminations of agency operating budgets or deprioritization of cybersecurity digital infrastructure related initiatives would adversely affect public sector demand for our enterprise platform. For example, the U.S. presidential administration's priorities and actions to reduce government spending, including, but not limited to, those previously driven by the Department of Government Efficiency, may impact the availability of funding for U.S. government customers as a result of the elimination of departments and personnel. These actions may lead to elongated sales cycles and procurement decisions and could result in fewer contract opportunities or reduced funding for existing initiatives, all of which would adversely affect our business and financial performance. In addition, governmental entities have the authority to terminate contracts at any time for the convenience of the government, which creates risk regarding revenue anticipated under our existing government contracts.