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Risk Assessment according to ISO/IEC 27001:2022 and innovative Asset Identification using Machine Learning



In an increasingly digitalized world, information security is of utmost importance for companies. ISO/IEC 27001:2022 provides an internationally recognized framework for assessing and managing information security risks. At NexGenITSec we combine this proven approach with state-of-the-art technology to provide a comprehensive and precise To ensure risk analysis and asset collection.


Risk determination according to ISO/IEC 27001:2022

Risk determination according to ISO/IEC 27001:2022 is a central component of information security management (ISMS). It aims to identify potential threats to the confidentiality, integrity and availability of information and take appropriate protective measures. The process includes several important steps:


  • Identification of risks: First, all risks that could impact company information are identified. This includes internal and external threats, vulnerabilities in IT systems and potential impacts on business continuity and compliance.
  • Risk assessment: Once identified, risks are assessed based on their likelihood and potential damage. This helps prioritize the critical risks and efficiently focus resources on mitigating them.
  • Development of measures: Based on the risk assessment, appropriate measures are developed to reduce or eliminate the identified risks. This can include technical, organizational or personnel measures.
  • Monitoring and verification: Since threat situations and the IT environment are constantly changing, continuous monitoring and regular reviews are essential of the risks is essential to ensure the effectiveness of the measures.

Innovative asset collection with machine learning (ML)

Another innovative approach that we use at NexGenITSec is based on the results of your diploma thesis, which focuses on the collection and valuation of company assets using machine learning (ML). Traditional methods Asset collection can be time-consuming and inaccurate. However, by using ML models we can create an automated, Ensure scalable and accurate asset collection.


ML-powered asset collection offers the following benefits:


  • Automated identification of assets: By using ML algorithms, we can quickly and accurately identify all company assets, including Hardware, software, databases and other IT resources.
  • Dynamic risk assessment: ML models enable continuous analysis and assessment of assets, allowing risks to be identified and prioritized in real time.
  • Adaptability to new threats: The ML models continuously learn and adapt to new threats and changes in the IT environment, which means the asset survey is always kept up to date.
  • Efficient use of resources: The automation and precision of ML models lead to more efficient use of resources by minimizing manual collection and assessment.

By combining the proven methods of ISO/IEC 27001:2022 risk assessment with the most modern With machine learning technologies, we at NexGenITSec offer a comprehensive solution that not only covers security of your information, but also optimally protects and manages your IT resources.