- Home >
- Services >
- Access to Knowledge >
- Trend Monitor >
- Type of Threat or Opportunity
Trends in Security Information
The HSD Trendmonitor is designed to provide access to relevant content on various subjects in the safety and security domain, to identify relevant developments and to connect knowledge and organisations. The safety and security domain encompasses a vast number of subjects. Four relevant taxonomies (type of threat or opportunity, victim, source of threat and domain of application) have been constructed in order to visualize all of these subjects. The taxonomies and related category descriptions have been carefully composed according to other taxonomies, European and international standards and our own expertise.
In order to identify safety and security related trends, relevant reports and HSD news articles are continuously scanned, analysed and classified by hand according to the four taxonomies. This results in a wide array of observations, which we call ‘Trend Snippets’. Multiple Trend Snippets combined can provide insights into safety and security trends. The size of the circles shows the relative weight of the topic, the filters can be used to further select the most relevant content for you. If you have an addition, question or remark, drop us a line at info@securitydelta.nl.
visible on larger screens only
Please expand your browser window.
Or enjoy this interactive application on your desktop or laptop.
The aim of detect, the third part of the NIST Cyber Security framework, is to assess whether a company’s systems are compromised. This function entails how the organisation’s cybersecurity team determines that a breach has happened and what can be done to mitigate its effects. If necessary, actions can be taken to fix compromised systems and consequently lead to the development and implementation of a breach detection strategy. The detect function also enables timely discovery of other cybersecurity events.
Organisations must implement the appropriate measures to quickly identify cybersecurity events. The adoption of continuous monitoring solutions that detect anomalous activities and other threats to operational continuity is required to comply with this specific function. An organisation must have visibility into its networks and systems to anticipate a cyber incident and have all information at hand to respond to one. Continuous monitoring (intrusion detection) and threat hunting are very effective ways to analyse and prevent cyber incidents in computer and industrial control system (ICS) networks but also on the host computer system. Developments in machine learning and AI open up new possibilities to detect anomalies. Threats that are hard to detect are zero-day exploits, backdoors and advanced persistent threats.
Related keywords: anomalies and events, threat hunting, network architecture, asset management, anomaly detection, Intrusion detection system (IDS), log analysis & management software, port scanning, security information and event management (SIEM) system
The aim of detect, the third part of the NIST Cyber Security framework, is to assess whether a company’s systems are compromised. This function entails how the organisation’s cybersecurity team determines that a breach has happened and what can be done to mitigate its effects. If necessary, actions can be taken to fix compromised systems and consequently lead to the development and implementation of a breach detection strategy. The detect function also enables timely discovery of other cybersecurity events.
Organisations must implement the appropriate measures to quickly identify cybersecurity events. The adoption of continuous monitoring solutions that detect anomalous activities and other threats to operational continuity is required to comply with this specific function. An organisation must have visibility into its networks and systems to anticipate a cyber incident and have all information at hand to respond to one. Continuous monitoring (intrusion detection) and threat hunting are very effective ways to analyse and prevent cyber incidents in computer and industrial control system (ICS) networks but also on the host computer system. Developments in machine learning and AI open up new possibilities to detect anomalies. Threats that are hard to detect are zero-day exploits, backdoors and advanced persistent threats.
Related keywords: anomalies and events, threat hunting, network architecture, asset management, anomaly detection, Intrusion detection system (IDS), log analysis & management software, port scanning, security information and event management (SIEM) system