Trademark Overview
On Tuesday, August 19, 2025, a trademark application was filed for HEMLOCK with the United States Patent and Trademark Office. The USPTO has given the HEMLOCK trademark a serial number of 99344996. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Tuesday, August 19, 2025. This trademark is owned by CIGNAL LLC. The HEMLOCK trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
Downloadable computer software for AI/ML security and defense, including for large and small language models, vision models, audio models, and multi-modal models, and other machine learning models, algorithms, and agents; AI/ML red-teaming, including adversarial testing, prompt injection, data poisoning, and model inversion; blue team AI/ML model defenses, including adversarial robustness, input filtering, data noising, and model monitoring; AI/ML training, fine-tuning, RAG (Retrieval-Augmented Generation), inference, and neural rendering; 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, vulnerabi...
Software as a service (SAAS) for AI/ML security and defense, including for large and small language models, vision models, audio models, and multi-modal models, and other machine learning models, algorithms, and agents; AI/ML red-teaming, including adversarial testing, prompt injection, data poisoning, and model inversion; blue team AI/ML model defenses, including adversarial robustness, input filtering, data noising, and model monitoring; AI/ML training, fine-tuning, RAG (Retrieval-Augmented Generation), inference, and neural rendering; 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, vulnerabili...
