Step 1: Read About Artificial Intelligence
This introductory PowerPoint presentation defines AI, its history and its use in Cybersecurity for the health sector. ChatGPT applications to offensive cybersecurity are introduced along with possible defensive mechanisms that may be applied to any sector.
Federal and industrial AI use cases show the increase and diversity of AI-related applications in the federal government and industrial applications.
Cybersecurity is considered the next frontier in AI with the potential to help protect our nation’s infrastructure through the use of large datasets and algorithms that imitate human cognition. For most of us, the future is already here with applications using AI already present in cloud computing, chatbots, facial recognition, programming and more.
Links:
https://www.hhs.gov/sites/default/files/ai-cybersecurity-health-sector-tlpclear.pdf
Top 10 Industries Using Artificial Intelligence: Facts, Insights, Use Cases
https://www.nsa.gov/Press-Room/News-Highlights/Article/Article/2702241/artificial-intelligence-next-frontier-is-cybersecurity/
https://www.datacenters.com/news/artificial-intelligence-in-cloud-computing
https://www.zendesk.com/service/messaging/chatbot/
https://www.bbc.com/news/technology-65057011
https://openai.com/index/openai-codex/
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Step 2: Concerns with AI
Figure 1 shows how the National Institute of Standards and Technology (NIST) AI Risk Management Framework describes an AI system’s trustworthiness.
Figure 1. AI System Trustworthiness (source)
Bias can be introduced into a dataset used to train AI systems. Towards a Standard for Identifying and Managing Bias in Artificial Intelligence details problems associated with Bias and processes to eliminate it. Unfortunately biases are prevalent across many technologies using AI and can lead to harmful impacts resulting an overall lack of trust in AI-related products.
Generative AI has also raised some competitive concerns where those in more powerful positions and companies may bring about unfair competition and increase unfair conduct.
Additional concerns for the use of AI include the possibility of vulnerabilities and threats introduced by AI applications and the importance of risk mitigations that must be part of any AI-enabled system.
Links:
https://learn.umgc.edu/d2l/le/content/927821/viewContent/32468209/View
https://crsreports.congress.gov/product/pdf/R/R47569
https://www.ftc.gov/policy/advocacy-research/tech-at-ftc/2023/06/generative-ai-raises-competition-concerns
https://inldigitallibrary.inl.gov/sites/sti/sti/Sort_57369.pdf
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Step 5: Write Draft Artificial Intelligence (AI)
Using your research and analysis from steps 1-4, prepare an eight-to-ten-page analytical summary of your research in which you identify and discuss the role of AI in Cybersecurity. Your summary should address the following:
A description of current uses of AI across the government and other sectors. Include specific use cases for cybersecurity.
Describe the strengths, weaknesses, opportunities and threats (SWOT) for using AI in general and specifically for cybersecurity.
Discuss and make specific recommendations on how you could apply the AI RMF framework and associated playbook to AI applications you are considering or might consider in the future to be implemented.
Summarize you paper in a short conclusion section.
Provide all associated references using APA style
See the following resources for information about writing and citing academic work.
https://libguides.umgc.edu/gethelp/writing-citing
https://www.umgc.edu/current-students/learning-resources/writing-center/online-guide-to-writing/tutorial
