May 27, 2022
Artificial Intelligence’s Role in Trusted National Security Supply Chains
U.S. economic prosperity and national security is at risk due to a dependency on the resiliency, diversity, and security of global supply chains. The U.S. government established Executive Orders, Acts of Congress, and Federal Task Forces that champion the dire need for supply chain reform to protect all aspects of national power. The American public has felt the impact of consumer product availability and have witnessed how unprecedented world events can impact their personal comfort. A less evident aspect of concern is the inherent risk to national security when the totality of Defense Industrial Base (DIB) supply lines is not understood. For top-level policies to be effective in addressing this national security concern, they must be backed with pragmatic Artificial Intelligence (AI) capabilities to verify trusted suppliers.
Major technology companies, including IBM, have introduced supply chain AI workflow solutions that support lower costs, regulatory compliance, and product tracking. This technology also has the potential to “self-heal” during the massive shock of an unforeseen pandemic, natural disaster, or cyber-attack. It is critical that AI adoption also evolve in the name of national security resilience to identify multi-tier trust of the companies involved in the process. The current visible paradigm of supply chain management is oriented on point-to-point transactions between top-level suppliers and buyers. The vulnerable sub-tier, or upstream, supply chain network is more opaque, largely due to organizational hesitancy to share information that can compromise competitive position, reveal compliance posture, or highlight security concerns.
U.S. economic prosperity and national security is at risk due to a dependency on the resiliency, diversity, and security of global supply chains.
The illusive picture of full-tier supply sources available to regulators and national security agencies can be exposed through machine learning (ML) platforms produced by emerging AI companies like Altana Technologies. Altana’s mission is to find truth in the global supply chain by pioneering a new technology, federated learning, to bring ML computation directly to siloed data that can never be pooled directly due to concerns over privacy, intellectual property, and sovereignty. The result is a living, intelligent model of global supply chain suppliers on top of a federated network of protected data.
Read more from Air University.
More from CNAS
-
Biotech Matters: Public-Private Coordination of Biotechnology
An appreciation of biotechnology’s great opportunities is, for many commentators, intimately joined with regret about a disconnect between the U.S. government and the private ...
By Richard Danzig
-
$6.6 billion TSMC deal in Arizona the latest in the CHIPS Act’s rollout
“President Biden signed the CHIPS and Science Act just about 20 months ago, which in government time is yesterday. And they’ve hired 200 people,” said Vivek Chilukuri, a senio...
By Vivek Chilukuri
-
Stock Buybacks in Defense: What Drives Them, and How That Can Change?
Lack of capital is not a problem hindering investment at the largest defense primes. The issue revolves around the capital allocation decision....
By Mikhail Grinberg, Jerry McGinn & Lloyd Everhart
-
Ukrainian president has stark new warning as war rages on
Ukrainian President Volodymyr Zelensky warns that Ukraine will lose the war with Russia without US assistance. Franz-Stefan Gady of CNAS explains why US military aid is crucia...
By Franz-Stefan Gady