Artificial Intelligence in Cybersecurity: Building Resilient Cyber Diplomacy Frameworks

• URL: http://arxiv.org/abs/2411.13585v1
• Date: Sun, 17 Nov 2024 17:57:17 GMT
• Title: Artificial Intelligence in Cybersecurity: Building Resilient Cyber Diplomacy Frameworks
• Authors: Michael Stoltz,
• Abstract summary: This paper explores how automation and artificial intelligence (AI) are transforming U.S. cyber diplomacy. Leveraging these technologies helps the U.S. manage the complexity and urgency of cyber diplomacy.
• Score: 0.0
• License:
• Abstract: This paper explores how automation and artificial intelligence (AI) are transforming U.S. cyber diplomacy. Leveraging these technologies helps the U.S. manage the complexity and urgency of cyber diplomacy, improving decision-making, efficiency, and security. As global inter connectivity grows, cyber diplomacy, managing national interests in the digital space has become vital. The ability of AI and automation to quickly process vast data volumes enables timely responses to cyber threats and opportunities. This paper underscores the strategic integration of these tools to maintain U.S. competitive advantage and secure national interests. Automation enhances diplomatic communication and data processing, freeing diplomats to focus on strategic decisions. AI supports predictive analytics and real time decision making, offering critical insights and proactive measures during high stakes engagements. Case studies show AIs effectiveness in monitoring cyber activities and managing international cyber policy. Challenges such as ethical concerns, security vulnerabilities, and reliance on technology are also addressed, emphasizing human oversight and strong governance frameworks. Ensuring proper ethical guidelines and cybersecurity measures allows the U.S. to harness the benefits of automation and AI while mitigating risks. By adopting these technologies, U.S. cyber diplomacy can become more proactive and effective, navigating the evolving digital landscape with greater agility.

Related papers

• Imagining and building wise machines: The centrality of AI metacognition [78.76893632793497]
  We argue that shortcomings stem from one overarching failure: AI systems lack wisdom. While AI research has focused on task-level strategies, metacognition is underdeveloped in AI systems. We propose that integrating metacognitive capabilities into AI systems is crucial for enhancing their robustness, explainability, cooperation, and safety.
  arXiv  Detail & Related papers  (2024-11-04T18:10:10Z)
• Standardization Trends on Safety and Trustworthiness Technology for Advanced AI [0.0]
  Recent AI technologies based on large language models and foundation models are approaching or surpassing artificial general intelligence. These advancements have raised concerns regarding the safety and trustworthiness of advanced AI. Efforts are being expended to develop internationally agreed-upon standards to ensure the safety and reliability of AI.
  arXiv  Detail & Related papers  (2024-10-29T15:50:24Z)
• Artificial Intelligence as the New Hacker: Developing Agents for Offensive Security [0.0]
  This paper explores the integration of Artificial Intelligence (AI) into offensive cybersecurity. It develops an autonomous AI agent, ReaperAI, designed to simulate and execute cyberattacks. ReaperAI demonstrates the potential to identify, exploit, and analyze security vulnerabilities autonomously.
  arXiv  Detail & Related papers  (2024-05-09T18:15:12Z)
• Towards an AI-Enhanced Cyber Threat Intelligence Processing Pipeline [0.0]
  This paper explores the potential of integrating Artificial Intelligence (AI) into Cyber Threat Intelligence (CTI) We provide a blueprint of an AI-enhanced CTI processing pipeline, and detail its components and functionalities. We discuss ethical dilemmas, potential biases, and the imperative for transparency in AI-driven decisions.
  arXiv  Detail & Related papers  (2024-03-05T19:03:56Z)
• The Security and Privacy of Mobile Edge Computing: An Artificial Intelligence Perspective [64.36680481458868]
  Mobile Edge Computing (MEC) is a new computing paradigm that enables cloud computing and information technology (IT) services to be delivered at the network's edge. This paper provides a survey of security and privacy in MEC from the perspective of Artificial Intelligence (AI) We focus on new security and privacy issues, as well as potential solutions from the viewpoints of AI.
  arXiv  Detail & Related papers  (2024-01-03T07:47:22Z)
• Artificial Intelligence Ethics Education in Cybersecurity: Challenges and Opportunities: a focus group report [10.547686057159309]
  The emergence of AI tools in cybersecurity creates many opportunities and uncertainties. Confronting the "black box" mentality in AI cybersecurity work is also of the greatest importance. Future AI educators and practitioners need to address these issues by implementing rigorous technical training curricula.
  arXiv  Detail & Related papers  (2023-11-02T00:08:07Z)
• Managing extreme AI risks amid rapid progress [171.05448842016125]
  We describe risks that include large-scale social harms, malicious uses, and irreversible loss of human control over autonomous AI systems. There is a lack of consensus about how exactly such risks arise, and how to manage them. Present governance initiatives lack the mechanisms and institutions to prevent misuse and recklessness, and barely address autonomous systems.
  arXiv  Detail & Related papers  (2023-10-26T17:59:06Z)
• AI Potentiality and Awareness: A Position Paper from the Perspective of Human-AI Teaming in Cybersecurity [18.324118502535775]
  We argue that human-AI teaming is worthwhile in cybersecurity. We emphasize the importance of a balanced approach that incorporates AI's computational power with human expertise.
  arXiv  Detail & Related papers  (2023-09-28T01:20:44Z)
• The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward [56.16884466478886]
  This paper reviews emerging issues with opaque and uncontrollable AI systems. It proposes an integrative framework called violet teaming to develop reliable and responsible AI. It emerged from AI safety research to manage risks proactively by design.
  arXiv  Detail & Related papers  (2023-08-28T02:10:38Z)
• Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022 [55.573187938617636]
  The workshop will focus on the application of AI to problems in cyber security. Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilities.
  arXiv  Detail & Related papers  (2022-02-28T18:27:41Z)
• Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
  In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
  arXiv  Detail & Related papers  (2021-06-25T22:31:55Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.