Serial Number
98080328
Owner
Trend Micro Kabushiki KaishaAttorney
Sydney R. JensenFiling Date
Jul 11, 2023
XELSECURE Trademark
Serial Number: 98080328
Trademark Classes
Owner Contact Info
Shinjuku MAYNDS Tower 27F, 2-1-1 Yoyogi
Tokyo 151-0053 , JP
Entity Type: 03
Legal Representation
Correspondence Address
Sydney R. Jensen CARR & FERRELL LLP
411 BOREL AVENUE, SUITE 603
SAN MATEO, CA 94402
United States
Trademark Details
Filing Date
July 11, 2023
Registration Date
Not Registered
Published for Opposition
October 28, 2025
Goods & Services
Provision of computer programs relating to computer viruses and preventive steps, namely, updating of computer software being in the nature of virtual patches to prevent threats targeted at security vulnerabilities; providing information relating to computer technology in the nature of computer viruses being their varieties, special characteristics, tendencies, examples of invasion and infections, removal methods, preventative steps in the nature of intrusion prevention, and methods for dealing with viruses provided via a website; providing information relating to computer technology via a website in the field of computer bug detection and removal, and field of prevention of threats created by computer bugs
Downloadable application software for smartphones, for device identification, network traffic steering, securing connections, and network and radio quality monitoring and reporting; computer hardware for integrated control of security functions to protect computer network against threat by computer virus, illegal access and others; downloadable computer software for creating firewalls; downloadable computer software for protecting data security of computers and other computer software; downloadable computer security software to prevent confidential information from leaking; downloadable computer software to monitor, report and perform the actions required for regulatory compliance; computer hardware and downloadable computer anti-virus software to protect and to enhance confidentiality of data