Micah Musser is a Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET), where he works on the CyberAI Project. Previously, he worked as a Research Assistant at the Berkley Center for Religion, Peace, and World Affairs. He graduated from Georgetown University’s College of Arts and Sciences with a B.A. (summa cum laude) in Government focusing on political theory.
Automating Cyber AttacksNovember 2020
Based on an in-depth analysis of artificial intelligence and machine learning systems, the authors consider the future of applying such systems to cyber attacks, and what strategies attackers are likely or less likely to use. As nuanced, complex, and overhyped as machine learning is, they argue, it remains too important to ignore.
As demand for cybersecurity experts in the United States has grown faster than the supply of qualified workers, some organizations have turned to artificial intelligence to bolster their overwhelmed cyber teams. Organizations may opt for distinct teams that specialize exclusively in AI or cybersecurity, but there is a benefit to having employees with overlapping experience in both domains. This data brief analyzes hiring demand for individuals with a combination of AI and cybersecurity skills.