Artificial Intelligence and IoT technology implicate increasingly complex data security risks due to broadening device interrelationships (e.g., IoT webcams, health tracking, children’s toys, automobile software, wireless security equipment). The focus of this presentation is best practices for obtaining high value cybersecurity patents and the goal is to provide an overview regarding potential patent issues related to AI and IoT U.S. patent applications that focus on cybersecurity.
This is not an exhaustive presentation, but it does include developing areas of law. We will cover claimed subject matter that resulted in patent damage awards in cybersecurity and potential hurdles that are unique to U.S. software/cybersecurity patents, such as subject matter eligibility and indefiniteness.
Be better prepared for potential issues in obtaining a software/cybersecurity patent in AI or IoT technology from the USPTO.
Understand how cybersecurity patents are categorized and at least one approach for monetizing cybersecurity technology via patents.
Understand the different types of enhancements that result in software patents being found to be more than an "abstract idea," which generally results in ineligibility.