The TBUG bounty hunter platform will leverage Al technology to automate the vulnerability finding and reporting process, while improving transparency and efficiency in bounties through smart contracts and cryptocurrencies.
WhitePaper
Collaboration vulnerability search refers to the process in which multiple security experts, developers or users participate in the vulnerability search. Through teamwork, resources, experience, and knowledge can be shared to improve the efficiency and accuracy of vulnerability finding.
TBUG is an automated vulnerability reporting method based on artificial intelligence technology. This method detects and reports potential security vulnerabilities by analyzing the parameter input and output of the software system.
TBUG Shared cryptocurrency payment is an innovative bounty payment method that uses cryptocurrencies to reward participants in vulnerability finding and reporting. In this way, TBUG aims to improve the transparency and efficiency of vulnerability bounties, while encouraging more people to participate in security defense.
TBUG Real-time transaction-level security circuit breaker is a security mechanism based on artificial intelligence technology, aiming to quickly identify and block potential security threats in a real-time trading environment. This circuit breaker combines the Al's advanced analytical capabilities and instant response features to ensure the security and stability of the trading system.
Our Core Team
TBUG Team is an innovative team focused on Al and machine learning,dedicated to providing advanced Hand efficient AI solutions to users around the world. The team members are composed of a group of experienced engineers, scientists and industry experts,who have a deep academic background and rich practical experience,and have outstanding performance in artificial intelligence,machine learning, network security and other fields.Adrian: CEO
Is the CEO of TBUG. He was a senior researcher in a global leading artificial intelligence enterprise responsible for the development and application of machine learning algorithms. He has successfully developed a number of efficient and stable AI models that are widely used in image recognition natural language processing and other fields. He has also participated in a number of important projects,providing advanced solutions for enterprises,and has been highly evaluated by customers.
Stanford: CTO
Is the CTO of TBUG, with profound technical strength and rich practical experience. His research interests mainly include machine learning/ deep learning, reinforcement learning and other fields, and he is committed to promoting the continuous innovation and progress of artificial intelligence technology. He also pays attention to the practical application of Al technology in natural language processing image recognition， recommendation systems and other fields and strives to apply the latest Al technology to product development and optimization
Bradley
Once served as the marketing director of a global leading artificial intelligence enterprise, responsible for the market development and brand promotion of the enterprise. He successfully planned and implemented a number of marketing projects, opened a new market space for the enterprise, and was highly evaluated by customers. He also participated in the strategic planning and operation management of the enterprise, providing important support for the long-term development of the enterprise.