Artificial Intelligence and Machine Learning (AI/ML) based solutions contain inherent vulnerabilities that are of growing concern as investment is made into applying these technologies to gain a strategic advantage in speed of response, analysis, and maneuver for both private industry and government applications. Current cybersecurity practices and tools must evolve to handle new vulnerabilities inherent to AI/ML enabled systems across all domains. This paper will explore how the tools and techniques to defend against attacks and exploits, both on AI/ML, and with AI/ML, fall short from the tools typically used by today’s cybersecurity professional. It will explore both the intrinsic vulnerabilities due to model failure points and data poisoning strategies as well as address concerns that arise when our adversaries use AI/ML tools to their advantage. Some of these challenges present themselves as very advanced strategies brought on by nation state actors who have both time and resources. Other threats to our AI/ML systems are much less sophisticated but still seem to slip through the cracks because AI/ML is only beginning to gain significant momentum in real world applications.
Blockchain technologies and smart contracts were considered for their potential to provide tremendous benefits as decision support tools to the next generation of warfighters. An investigative team focused on novel security-enhanced information gathering and decision support Artificial-Intelligence (AI) based software agents that will serve as decision support co-pilots when commanders are developing real-time multi-domain orders of battle. As a core construct for this architecture, smart contracts allow for the governance of these systems to be time-bound and/or condition-bound. This disruptive technology propels progress made with distributed multi-agent systems with the numerous security benefits of blockchain technologies. Methods for implementing intelligent computing agents that follow and execute the logic embedded in a contract model will provide a transparent record of agents, chain of trust and chain of custody on the blockchain. This paper will explore mechanisms for maintaining a hierarchy of smart contracts allowing reasoning and decision support over different aspects of the overall command structure. Finally, the potential for maintaining multiple levels of classification across communication channels for platforms tasked with collection and reconnaissance missions will explored.
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