RemoteThreat Raises $7 Million in Pre-Seed Funding
RemoteThreat, a company based in Fulton, Maryland, has successfully raised $7 million in a pre-seed funding round. The round was led by Osage University Partners and DataTribe. RemoteThreat is known for its stealth-first offensive cyber operations platform, which combines machine-enabled and human-led capabilities for red teams, chief information security officers (CISOs), and government entities.
Company Overview
Founded by Chris Thompson and Shawn Jones, who serve as CEO and CTO respectively, RemoteThreat has emerged from stealth mode with the launch of its Offensive Cyber Operations (O/C/O) Platform. This platform is designed to streamline offensive cyber operations by integrating multiple tools and infrastructures into a single system. The platform is particularly aimed at enterprise and critical infrastructure red teams, U.S. government mission teams, and vetted defense partners.
Use of Funds
The $7 million funding will be used to accelerate the deployment of the O/C/O Platform and develop additional features. The platform is intended to help expert operators conduct sophisticated operations more efficiently while maintaining human oversight in decision-making processes.
The O/C/O Platform
RemoteThreat's O/C/O Platform provides an all-in-one solution for offensive cyber operations. It integrates eight connected systems, including mission planning, command-and-control infrastructure, initial-access frameworks, and AI-assisted operations. This integration allows operators to conduct operations at greater speed and scale.
Leadership and Experience
RemoteThreat's team includes experts with experience from notable organizations such as IBM X-Force Adversary Services, Mandiant, and Microsoft. This diverse expertise has been crucial in developing a platform tailored for complex environments where defensive systems and targets can change rapidly.
Future Outlook
With this new funding, RemoteThreat aims to enhance its platform's capabilities, ensuring that AI augments human operators rather than replacing them. As AI-enabled adversaries become more sophisticated, the need for a balanced approach combining automation and expert judgment becomes increasingly important.