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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.
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Fraud is described as dishonest acts that intentionally use deception techniques to deprive another person or entity of money, property, or legal rights. Most instances where fraud has been committed are easy to prove, seen a person or entity suffers economical or material harm. Commonly used fraud techniques are for example counterfeiting, forgery, payment fraud, insurance fraud and tax fraud. These fraud techniques can be used in every sector where money, property or legal rights play a significant role, such as the financial sector, health sector and housing sector. Fraud can be committed through and across many media including mail, phone and internet.
In order to prevent fraud, companies and other organisations have management and control policies in place. For example, if a transaction is made within a company, the financials and numbers are (generally) monitored and recorded. However, even with control measures in place, fraud can still occur. People who want to commit fraud seek out weaknesses in current control measures and try to exploit these weak points in fraud detection systems. Once a fraud has been committed and consequently discovered, an investigation can be set in motion. Fraud investigations seek to find the people responsible for the committed frauds and try to improve undermined control measures. Technologies like data analytics, (digital) forensic analysis and pattern recognition can aid in detecting fraud.
Topics that are related to fraud, or regarded as part of fraud by some, that we classify separately are identity theft, money laundering and corruption.
Related keywords: fraudulent transactions, fraudulence, fraudulent acquisition, hoax, swindling, trickery, double-dealing.
Fraud is described as dishonest acts that intentionally use deception techniques to deprive another person or entity of money, property, or legal rights. Most instances where fraud has been committed are easy to prove, seen a person or entity suffers economical or material harm. Commonly used fraud techniques are for example counterfeiting, forgery, payment fraud, insurance fraud and tax fraud. These fraud techniques can be used in every sector where money, property or legal rights play a significant role, such as the financial sector, health sector and housing sector. Fraud can be committed through and across many media including mail, phone and internet.
In order to prevent fraud, companies and other organisations have management and control policies in place. For example, if a transaction is made within a company, the financials and numbers are (generally) monitored and recorded. However, even with control measures in place, fraud can still occur. People who want to commit fraud seek out weaknesses in current control measures and try to exploit these weak points in fraud detection systems. Once a fraud has been committed and consequently discovered, an investigation can be set in motion. Fraud investigations seek to find the people responsible for the committed frauds and try to improve undermined control measures. Technologies like data analytics, (digital) forensic analysis and pattern recognition can aid in detecting fraud.
Topics that are related to fraud, or regarded as part of fraud by some, that we classify separately are identity theft, money laundering and corruption.
Related keywords: fraudulent transactions, fraudulence, fraudulent acquisition, hoax, swindling, trickery, double-dealing.
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