We rely on the accuracy, capacity and security of our information technology systems. Despite the security measures that we have implemented, our systems, and those of our customers, suppliers, and other service providers, are subject to cybersecurity incidents, including computer viruses, malware, phishing attacks, and denial-of-service attacks. Our systems have been in the past, and may be in the future, subject to natural or man-made incidents or disasters or unauthorized physical or electronic access. These types of incidents (collectively, a "system disruption") have become more prevalent and pervasive across industries, including in our industry, and are expected to continue in the future. A system disruption could result in business disruption, theft of our intellectual property, trade secrets or customer information and unauthorized access to personnel information. Although cybersecurity and the continued development and enhancement of our controls, processes, practices, and training designed to protect our information technology systems from attack, damage, or unauthorized access are a high priority for us, our activities and investment may not be deployed quickly enough or successfully protect our systems against all vulnerabilities specifically vulnerabilities to previously unknown or zero-day methods of attack, including technologies developed to bypass our security measures. In addition, outside parties may attempt to fraudulently induce employees or customers to disclose access credentials or other sensitive information in order to gain access to our secure systems and networks. There are no assurances that our actions and investments to improve the maturity of our systems, processes and risk management framework or remediate vulnerabilities will be sufficient or completed quickly enough to prevent or limit the effect of any system disruption. Moreover, because the techniques used to gain access to or sabotage systems often are not recognized until launched against a target, we may be unable to anticipate the methods necessary to defend against these types of attacks and we cannot predict the extent, frequency or effect these problems may have on us. To the extent that our business is interrupted or data is lost, destroyed or inappropriately used or disclosed, such disruptions could adversely affect our competitive position, relationships with our customers, financial condition, operating results and cash flows. Due to the evolving nature of such security threats, the potential effects of any future incident cannot be predicted. In addition, the amount of insurance coverage we maintain may not be adequate to cover claims or liabilities related to a cybersecurity attack and we may incur significant costs to protect against the damage caused by these disruptions or security breaches in the future.
We are also dependent on security measures that some of our third-party customers, suppliers, and other service providers take to protect their own systems and infrastructures. Some of these third parties store or have access to certain of our sensitive data, as well as confidential information about their own operations, and as such are subject to their own system disruptions. Any system disruption of any of these third parties' systems could result in unauthorized access to our information technology systems, cause us to be non-compliant with applicable laws or regulations, subject us to legal claims or proceedings, disrupt our operations, damage our reputation, and cause a loss of confidence in our products and services, any of which could adversely affect our financial performance.
Furthermore, AI, including machine-learning, technologies are increasingly being used in our industry. The use of AI-based solutions by third parties on which we rely could lead to the public disclosure of confidential information (including personal data or proprietary information) in contravention of our internal policies, data protection or other applicable laws, or contractual requirements. Moreover, AI-based solutions may create flawed, incomplete, or inaccurate outputs, some of which may appear correct. This may happen if the inputs that the model relied on were inaccurate, incomplete or flawed, or if the logic of the AI-based solutions is flawed (a so-called "hallucination"). The use of AI tools by our customers, suppliers, and other service providers may also increase vulnerability to cybersecurity risks, including through unauthorized use or misuse of AI tools and hallucinations or the introduction of malicious code incorporated into AI generated code.