Cybersecurity Best Practices for Artificial Intelligence

Advance your knowledge of Cybersecurity and AI

Earn a certificate of completion from JHU, a recognized leader in education and research. Earn 1 Johns Hopkins University Continuing Education Units (CEUs) upon course completion.

Course description

Cybersecurity involves protecting systems, networks, devices, and data from attacks by cybercriminals. All industry sectors face risks from cyber threats, which can affect the confidentiality, integrity, and availability of systems. Cybersecurity governance requires leaders to maintain programs, policies, and procedures that include proactive measures to mitigate cybersecurity risks and ensure operational resilience and efficiency.

This in-person executive education course offers networking opportunities and practical examples to enhance understanding of cybersecurity in a rapidly evolving landscape. The course will provide guidance regarding cybersecurity risks associated with the use of AI and the controls that may be used to mitigate those risks.

Who is the program for?

This course is designed for industry leaders, decision-makers, and advisors who need to expand their knowledge, develop strategic insights, and effectively communicate the importance of cybersecurity risk management to drive bold, forward-looking initiatives that safeguard national and organizational security.

• C-Suite Executives
• Corporate Board of Directors
• Senior Government Officials
• Cybersecurity Industry Leaders
• System Administrators

Acquire essential knowledge in Cybersecurity and AI

Designed by JHU Faculty, the curriculum covers key areas of the evolving data science landscape.

• Cybersecurity Fundamentals
• Mitigating AI-Related Cybersecurity Risks
• Cybersecurity Risk Management
• AI Threat Landscape and Attack Vectors
• Regulatory and Compliance Issues in AI Security

Built for Everyone

Live In-person Learning

Experience dynamic, face-to-face learning with JHU faculty and fellow professionals in this engaging in-person course. Participate in interactive discussions, hands-on exercises, and real-world case studies while building valuable connections in a collaborative classroom environment.

Dedicated course support

Johns Hopkins University faculty are readily accessible to address your questions in the course, ensuring a personalized learning experience.

Engaging materials

Content and use cases ensure it is current and relevant to the AI arena today.

Hands-on activities

Hands-on activities that ensure you leave with actionable takeaways.

Faculty

Thomas Byrd

Johns Hopkins University Instructor

Thomas Byrd is a thought leader in artificial intelligence and a leading expert in the development and use of trustworthy artificial intelligence systems in the public and private sectors. He has experience in both the theoretical and practical aspects of AI, concentrating on technology innovation and IT/AI governance. He has public and private board service as a member of Maryland’s Cyber Board and the Johns Hopkins University AI Advisory Committee. Thomas established himself as a leader at the Federal Bureau of Investigation and Department of Defense (DoD- DISA/NSA), where he spearheaded innovative approaches to the U.S. Government’s IT and cyber capabilities. He is a cybersecurity researcher at the Johns Hopkins University Applied Physics Laboratory and a lecturer at the Whiting School of Engineering and often provides thoughtful contributions in the most complex scenarios. This includes responding to the U.S. Government’s notices of proposed rule-making regarding the National Cybersecurity and Artificial Intelligence Strategy.  

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