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.