The Space Information Sharing and Analysis Center’s (Space ISAC) artificial intelligence (AI) and machine learning (ML) Community has published a whitepaper titled Machine Learning Security Operations – MLSecOps, which provides insight and considerations for using trustworthy AI and machine learning security operations to guard the function of national space assets.
As the space industry grows, AI and ML solutions are becoming essential for secure operations and strategic advantages. The Space ISAC AI/ML Community is focused on the intersection between AI technologies, cybersecurity and space infrastructure, striving to provide guidance for improving space infrastructure security through trustworthy AI technologies.
ISAC is a 501(c)(6) organization that serves as the all-threats security information source for the public and private space sector. Founded in 2019, Space ISAC became an official member of the National Council of ISACs in 2020. The Space ISAC Watch Center achieved initial operational capability in March of 2023.
Space ISAC contracted with the National Cybersecurity Center (NCC) to operate the Space ISAC in 2020 and is co-located with NCC at the Kevin W O’Neil Cybersecurity Research and Education Building at the University of Colorado Colorado Springs.
The Space ISAC serves to facilitate collaboration across the global space industry to enhance our ability to prepare for and respond to vulnerabilities, incidents, and threats; to disseminate timely and actionable information among member entities; and to serve as the primary communications channel for the sector with respect to this information.
After opening the Watch Center in 2023, member services include support for response, mitigation, and resilience initiatives, while breaking down communication silos of public-private information sharing.
Space ISAC founding members includes Kratos Defense & Security Solutions, Inc. (NASDAQ: KTOS), Booz Allen Hamilton (NYSE: BAH), MITRE, SES, Lockheed Martin (NYSE: LMT), Northrop Grumman (NYSE: NOC), Parsons Corporation (NYSE: PSN), Purdue University, the Space Dynamics Laboratory, the Johns Hopkins University Applied Physics Laboratory, The Aerospace Corporation, the University of Colorado Colorado Springs, Microsoft, L3Harris and Deloitte.
“Fortifying our machine learning systems with MLSecOps will move us toward greater space resiliency and open new possibilities as the demand for secure, reliable AI technologies in space continues to grow. The collaboration between members of the Space ISAC community is enabling critical conversations to accelerate the adoption and efficacy of MLSecOps.” — Michelle Archuleta, Ph.D., RS21 Director of Data Science and coauthor of the paper
“MLSecOps is a game-changer. The framework provides all the best practices and tools required to sustain and establish trust, security and reliability by capturing the data-centric rather than code-centric operational philosophy of AI/ML technologies.” — Max Spolaor, Ph.D., senior engineering specialist, The Aerospace Corporation