Sandia has been solving cyber problems since before the term cybersecurity existed. Today, we apply decades of science and engineering expertise to thwart the rapidly emerging threats to our nation’s highest consequence cyber systems.
To support this mission, we are working to redefine the limits of cyber understanding through fundamental research and analysis of complex systems and networks. Our multi-disciplinary teams, state-of-the-art tools & facilities, and partnerships across the national security complex give staff unique access to the cutting edge of cyber security and resilience.
Sandia supports system research in advanced telecommunications and has diverse expertise across multiple disciplines: (Software, hardware, firmware, RE, Radiofrequency, operating systems, communication protocols), brought to address complex research challenges. Deep technical background in software reverse engineering and vulnerability research creates a team of creative, driven researchers dedicated to the nation and sponsor missions
Sandia National Labs has long been a pathfinder in artificial intelligence research across all mission areas and has a breadth of investments focused on credibility in science and engineering applications. AI has revolutionized the speed at which we can model and analyze data for mission decisions across all of Sandia’s mission areas.
Defined as machine learning (ML) algorithms, non-ML algorithms, and measures to detect something of interest (e.g., anomalies) in internet-connected devices (e.g., traditional computers, Internet-of-Things [IoT], edge computing, supervisory control and data acquisition [SCADA]). Example subcategories of interest include unsupervised anomaly detection, supervised detection, and detection correlation. The team is specifically interested in advanced ML algorithms and the engineering to support throughput streaming and merging analytics; and seeks to capture cyber analytics deployed across all segments (i.e., on the cloud, network, endpoints, and edge computing) and to capture information related to training data/data sets/management/sources/best practices.
This Sandia National Laboratories Mission Campaign (MC) seeks to create the technical basis that allows national leaders to efficiently assess and manage the digital assurance of high consequence systems. We will call for transformative research that enables efficient (1) development of provably secure systems and secure integration of untrusted products, (2) intelligent threat mitigation, and (3) digital risk-informed engineering trade-offs. Ultimately, this MC will impact multiple national security missions; it will develop an informed Digital Assurance for High Consequence Systems (DAHCS) community and expand Sandia partnerships to build this national capability.