Download PDFOpen PDF in browserSafeguarding Automated Intelligences: Robotics Process Automation CyberEasyChair Preprint 113509 pages•Date: November 20, 2023AbstractThe advent of Robotic Process Automation (RPA) has revolutionized business operations by automating mundane tasks and streamlining workflows. However, the integration of RPA introduces a new frontier in cybersecurity concerns. Safeguarding Automated Intelligences (AIs) within RPA systems is imperative to prevent potential cyber threats and ensure the integrity, confidentiality, and availability of sensitive data. This abstract delves into the significance of implementing robust cyber strategies specifically tailored for RPA systems. It highlights the vulnerabilities inherent in RPA deployments, including susceptibility to hacking, data breaches, and manipulation of automated processes. Furthermore, it explores the fundamental principles required to fortify RPA against cyber threats, encompassing encryption, access control, continuous monitoring, and incident response mechanisms. The paper discusses the importance of a proactive approach to cybersecurity, emphasizing the need for ongoing risk assessments and adaptation to evolving threat landscapes. Additionally, it examines the role of AI-powered defenses, such as machine learning algorithms for anomaly detection and behavioral analysis, in augmenting RPA cybersecurity. Drawing upon industry best practices and frameworks, this abstract proposes a comprehensive framework for securing RPA systems, integrating both technological solutions and organizational protocols. By adopting robust cybersecurity measures, organizations can harness the full potential of RPA while ensuring the resilience and protection of automated processes against evolving cyber threats. Keyphrases: Cybersecurity, Robotic Process Automation, data protection
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