![]() Increased Automation and Reduced Labor RequirementsĬyber surveillance has tended to be less labor-intensive than the traditional human surveillance methods that it has augmented or replaced. Below are several illustrative applications of machine learning in the cybersecurity domain that could be especially impactful for the international security environment. Were a similar competition to be held today, machine learning would likely play a much larger role. ![]() The systems in the first Cyber Grand Challenge used rule-based programming and did not make significant use of machine learning. 3Įven as DoD has begun to implement this technology, potential applications of AI for cybersecurity continue to evolve. 2 Impressed with the tournament’s results, DoD began a new program, Project Voltron, to develop and deploy autonomous cybersecurity systems to scan and patch vulnerabilities throughout the U.S. Each system was capable of automatically discovering and exploiting cyber vulnerabilities in its opponents while patching its own vulnerabilities and defending itself from external cyberattacks. In October 2016, National Security Agency (NSA) Director Michael Rogers stated that the agency sees AI as “foundational to the future of cybersecurity.” Rogers’ remarks occurred only two months after DARPA held its first Cyber Grand Challenge, a head-to-head fight between autonomous machines in cyberspace. The cyber domain represents a prominent potential usage arena for AI, something senior leaders have expressed in recent years. (The next section covers how broader AI-driven economic and societal changes could affect international security.) Cybersecurity Rather, these are merely intended as illustrative examples to help those in the national security community begin to think through some uses of this evolving technology. This is not intended as a comprehensive list of all possible uses of AI in these fields. Included below are some examples in cybersecurity, information security, economic and financial tools of statecraft, defense, intelligence, homeland security, diplomacy, and development. Kevin Kelly notes that in the private sector “the business plans of the next 10,000 startups are easy to forecast: Take X and add AI.” 1 There is similarly a broad range of applications for AI in national security. There are a number of direct applications of AI relevant for national security purposes, both in the United States and elsewhere. ![]() National Security-Related Applications of Artificial Intelligence Introduction Renewing the National Security Consensus.Enhancing DHS Oversight & Accountability.Constructing Regional Partnerships and Seizing Emerging Opportunities.
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