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Automated Cyber and Privacy Risk Management Toolkit
Gustavo Gonzalez-Granadillo1, Sofia Anna Menesidou2, Dimitrios Papamartzivanos2
1ATOS Spain, Atos Research & Innovation, Cybersecurity Unit, 08020 Barcelona, Spain.
This study introduces AMBIENT, an automated toolkit integrating cyber and privacy risk assessments. It provides decision support for optimal safeguard recommendations, enhancing organizational security.
Area of Science:
- Information Security
- Risk Management
- Data Privacy
Background:
- Organizations face increasing cyber and privacy risks, necessitating integrated assessment approaches.
- Existing cyber risk assessments are often decoupled from privacy impact assessments (PIAs).
- PIAs are typically conducted proactively during system design to address data protection compliance.
Purpose of the Study:
- To propose an integrated toolkit for automated cyber and privacy risk management.
- To address the limitations of separate cyber risk and privacy impact assessments.
- To provide decision support for selecting optimal security safeguards.
Main Methods:
- Development and integration of three distinct software tools into a unified toolkit named AMBIENT.
- Implementation of automated assessment for both cyber and privacy risks.
- Integration of decision-support capabilities for recommending safeguards based on the Center for Internet Security (CIS) Controls.
Main Results:
- The AMBIENT toolkit offers a holistic and automated approach to assessing cyber and privacy risks.
- It provides decision-support for selecting appropriate safeguards, enhancing risk mitigation strategies.
- A case scenario from the healthcare sector demonstrates the toolkit's practical application.
Conclusions:
- AMBIENT is presented as the first academic toolkit to integrate automated cyber and privacy risk assessment with decision support for safeguard selection.
- The toolkit addresses critical cyber and privacy threats, particularly relevant for sectors like healthcare.
- This integrated approach enhances organizational resilience against evolving digital risks.
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