HEMLOCK Trademark
Serial Number: 99344996
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Steven E. Tiller Whiteford, Taylor & Preston, LLP
Seven Saint Paul Street
Baltimore, MD 21202-1636
United States
Trademark Details
Filing Date
August 19, 2025
Registration Date
Not Registered
Published for Opposition
April 14, 2026
Goods & Services
Downloadable computer software for conducting artificial intelligence and machine learning (AI/ML) security and defense using large and small language models, vision models, audio models, and multi-modal models, and other machine learning models, algorithms, and agents, for conducting AI/ML red-teaming using adversarial testing, prompt injection, data poisoning, and model inversion, for conducting blue team AI/ML model defenses utilizing adversarial robustness, input filtering, data noising, and model monitoring, for performing AI/ML training, fine-tuning, retrieval-augmented generation (RAG), inference, and neural rendering, and for conducting AI/ML testing and evaluation, AI/ML model benchmarking and ratings, data science, cybersecurity, cloud security, network security, software testing and evaluation, security compliance management, threat intelligence, anomaly detection, threat hunting, intrusion detection and prevention, incident response, digital forensics, reverse engineering, penetration testing, red teaming, adversarial testing, threat modeling, vulnerability management, vulnerability scanning, vector databases, data privacy, encryption, and data loss prevention
Software as a service (SAAS) services featuring software for conducting artificial intelligence and machine learning (AI/ML) security and defense using large and small language models, vision models, audio models, and multi-modal models, and other machine learning models, algorithms, and agents, for conducting AI/ML red-teaming using adversarial testing, prompt injection, data poisoning, and model inversion, for conducting blue team AI/ML model defenses utilizing adversarial robustness, input filtering, data noising, and model monitoring, for performing AI/ML training, fine-tuning, retrieval-augmented generation (RAG), inference, and neural rendering, and for conducting AI/ML testing and evaluation, AI/ML model benchmarking and ratings, data science, cybersecurity, cloud security, network security, software testing and evaluation, security compliance management, threat intelligence, anomaly detection, threat hunting, intrusion detection and prevention, incident response, digital forensics, reverse engineering, penetration testing, red teaming, adversarial testing, threat modeling, vulnerability management, vulnerability scanning, vector databases, data privacy, encryption, and data loss prevention