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Trends in Security
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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The rise of Secure Multi-Party Computation
As SMPC provides a secure, (more) private platform for the safe interchange of large
amounts of data, it can be deployed in various ways to solve complex issues and
enable better decision-making, for example in the financial industry and food & agriculture. The future certainly looks promising for SMPC, but it must be noted that we’re still in the exploratory stage when it comes to this technology, mainly due to its technical complexity (speed) and issues around scalability.
amounts of data, it can be deployed in various ways to solve complex issues and
enable better decision-making, for example in the financial industry and food & agriculture. The future certainly looks promising for SMPC, but it must be noted that we’re still in the exploratory stage when it comes to this technology, mainly due to its technical complexity (speed) and issues around scalability.
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What tomorrow holds for Secure Multi-Party Computation
As SMPC provides a secure, (more) private platform for the safe interchange of large amounts of data, it can be deployed in various ways to solve complex issues and enable better decision-making. The future certainly looks promising for SMPC, but it must be noted that we’re still in the exploratory stage when it comes to this technology, mainly due to its technical complexity (speed) and issues around scalability. Empowering consumers SMPC is especially good news for consumers. After all, there’s a growing concern among us about who receives our private data and what it’s used for. SMPC heightens customer-business trust as consumers can rest assured that their personal information remains private and protected, even when data is shared.
Implications and applications for Rabobank and its clients
Due to the aforementioned challenges and limitations that come with the technology, the adoption of SMPC Context has been fairly slow. Still, experiments in this field are definitely on the rise. Rabobank is one of a few innovative parties exploring SMPC applications. For instance, the bank has been involved in an SMPC experiment to analyse diversity in Dutch companies. Using the input of a large number of organisations, the experiment aims to establish a diversity benchmark, without publicly sharing the sensitive information of the participating companies. Empowering clients is high on Rabobank’s list of priorities. That’s why the bank has also been investigating the possibility of using SMPC when customers apply for a mortgage. In these cases, clients typically have to provide a lot of personal information to establish a customer’s creditworthiness. With the help of SMPC, this data can be kept private but can still be used by the bank for the sake of decision-making. In this way, SMPC can help maintain data integrity and improve data quality. A very inspiring example of the use of SMPC is an experiment conducted by a Dutch healthcare insurance company. Doctors treating a particular type of cancer exchanged the results of their interventions, while the data remained secure and anonymous – it wasn’t even possible to trace which particular hospital each of the patients attended. The experiment revealed that there is a vast number of differences in the way various hospitals treat the illness, and in the results that are achieved.
More implications for the financial market
SMPC could play a vital role in asset management and trade finance (through supply chain optimisation), and on the capital markets. Moreover, if banks aren’t as reluctant to share data thanks to SMPC, it can also help with efforts to detect fraud sooner and can boost anti-money laundering initiatives.
Food & Agriculture (F&A)
In the F&A industry in particular, confidence – or rather a lack thereof – is an obstacle hindering the evolution of SMPC. A big problem is the tension that exists between farmers and bigger technology companies due to (perceived) different interests. Previous data-sharing projects – Monsanto, to name the most well-known example – have, to a large degree, only added fuel to the fire and fed that lack of trust. Farmers are now even more reluctant to share personal information and data about their land and crops. This is unfortunate as SMPC has great potential in the F&A sector and could help to answer pressing questions and resolve complex dilemmas facing today’s farmers
