Executive Summary
NexusFlow, founded by UC Berkeley professors and an AI expert, has introduced an advanced cybersecurity solution that aims to transform security operations.
This innovative technology combines natural language queries and automated responses, revolutionizing decision-making in security operations centers (SOCs). NexusFlow’s unique approach holds the potential to adapt and make intuitive decisions, promising increased efficiency and heightened security measures in the field of cybersecurity.
About the Company
Nexusflow, which came out of stealth mode at the end of September, is a cybersecurity automation company that aims to improve Security Operations Centers (SOCs) by incorporating natural language queries and databases.
Nexusflow was founded by UC Berkeley professors Jiantao Jiao and Kurt Keutzer, along with Jian Zhang, who previously served as the machine learning director at AI startup SambaNova Systems. Jiantao Jiao and Kurt Keutzer are experts in cybersecurity and artificial intelligence, leveraging their knowledge and experience to develop automation solutions for security operations.
Together, the founders combine their expertise in cybersecurity and artificial intelligence, as well as their backgrounds in academia and industry, to drive innovation in SOC automation and enhance decision-making processes.
The company raised $10.6 million in seed funding led by Point72 Ventures, indicating strong investor support. The funds will be used for software development and acquisition of test equipment, software testing infrastructure, and financing the company’s growth.
About the Product
Nexusflow has designed an advanced cybersecurity solution that enhances automation in security operations centers (SOCs). By utilizing natural language queries and databases, it revolutionizes decision-making processes.
Key features include:
- Automation of Responses and Workflows: Nexusflow aims to automate responses and workflows in SOC operations. It incorporates both known and unknown data, allowing for adaptive decision-making.
- Learning from Examples: The software learns from examples and previous solutions to effectively solve new problems that arise.
- NexusRaven-13B: Nexusflow utilizes its own open-source large language model, NexusRaven-13B, which achieves a high success rate in search tools and virus detection.
- Intuitive Decision-Making: Nexusflow’s approach enables decision-making functions to identify and address situations with no existing experience. It can query external databases or involve human experts to find answers or request instructions on how to proceed.
- Transition to Intuitive Decisions: The software is designed to make the leap from relying solely on known data to making decisions more intuitively based on examples and postulation.
- Learning from APIs and Applications: It learns from various APIs and applications by effectively reading manuals and synthesizing information from different sources.
- Confidentiality and Deployment: It can run on local data centers or private clouds, ensuring the confidentiality of sensitive data. It provides flexibility for organizations with specific data privacy requirements.
