Personal data protection compliance assessment: A privacy policy scoring approach and empirical evidence from Thailand's SMEs

Chatsuwan, Panchapawn; Phromma, Tanawat; Surasvadi, Navaporn; Thajchayapong, Suttipong

doi:10.1016/j.heliyon.2023.e20648

Cited by 1 publication

(1 citation statement)

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“…5. Conducting regular privacy assessments and audits to demonstrate compliance with data privacy laws and policies, and being prepared to demonstrate accountability and adherence to privacy standards [24][25][26].…”

Section: Privacy Concerns With Ai For Stakeholder Analysismentioning

confidence: 99%

A Stakeholder Needs Analysis in Cybersecurity: A Systemic Approach to Enhancing Digital Infrastructure Resilience

Katrakazas,

Papastergiou

2024

Businesses

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The escalating complexity and sophistication of cyber threats necessitate advanced solutions that not only counteract these threats but also proactively adapt to the evolving needs of diverse stakeholders involved in digital infrastructures, such as telecom operators, cloud service providers, and end-users in sectors like healthcare and finance. This research addresses a crucial gap by focusing on a systemic, AI-powered approach to stakeholder needs analysis in cybersecurity. By aligning closely with stakeholder requirements, the proposed framework aims to offer dynamic, responsive cybersecurity solutions that enhance the resilience of digital infrastructures against evolving cyber threats. This research systematically maps the landscape of stakeholder needs in cybersecurity across different sectors through qualitative methods like interviews and focus groups, supplemented by data from the CyberSecDome project’s pilot cases and open calls. Requirements for an AI-driven framework are then formulated based on these data to identify patterns and predict stakeholder needs. The analysis reveals critical challenges faced by stakeholders, including limited threat intelligence sharing, insufficient automation in incident response, and regulatory hurdles related to data protection laws and evolving cybersecurity legislation. There is a strong interest in leveraging AI for enhanced intrusion detection, real-time threat intelligence sharing, and privacy-preserving information exchange.

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Section: Privacy Concerns With Ai For Stakeholder Analysismentioning

confidence: 99%