How to use threat intelligence data to manage security in the age of COVID-19

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COVID-19 has already had a huge impact on the global economy. According to Statista, GDP growth globally will drop from around 3% to 2.4% - equivalent to a drop of around $35 trillion worldwide. In sectors like oil and gas, the impact is particularly acute: IHS Markit predicted that the reduction in oil consumption due to COVID-19 has led to a first-half surplus of 1.8 billion barrels of crude oil. The macroeconomic trends around these worldwide sectors point to harsher economic conditions and recession.

For companies in the oil and gas sector running complex operations around the world, this will lead directly to tougher trading environments and a lot of necessary belt-tightening when it comes to costs around operations. Indirectly, the potential recession could cause more civil unrest and security threats for them as well. To cope with these potential challenges, companies will have to look at how they can maintain security for their operations and prevent risks as much as possible.

Taking a contextual approach to physical security

With these two goals in mind, looking at threat intelligence data should be considered. Threat intelligence refers to a set of data that can be used to judge current and future trends around risks, from everyday crime or political changes through to larger events like civil unrest, terrorism or the current pandemic. Based on data around these issues, companies can make better decisions on how they invest and manage their security posture in advance. Behind this overall approach, however, there are a significant number of moving parts that have to be considered. This includes where the data comes from, how it is used, and who is using the data.

Companies can make better decisions on how they invest and manage their security posture

The first consideration for threat intelligence is where data comes from. Typically, companies with large oilfields or refinery operations will have large investments in physical security to protect these environments, and part of this spend will include intelligence on local market, political and security conditions. Using this forecast data, your security leadership team can ensure that they have the right resources available in advance of any particular problem. This data can come from multiple sources, from social media data and crowdsourced information through to government, police and private company feeds.

This mass of information can then be used to inform your planning and decision making around security, and how best to respond. However, one issue for oil and gas companies with distributed operations is how much data they have to manage over time. With so many potential sources of information all feeding back in real time, it’s hard to make sense of what comes in.

Similarly, companies with international teams may have different sets and sources of data available to different parts of their organisations - while each team has its own view of what is going on, they may be missing out on contextual data from other sources held by neighbouring teams or by the central security department. Without a complete picture, it is easy to miss out on important information.

Making threat intelligence smarter

To solve this problem - and to reduce the costs around managing threat intelligence data - centralising your approach can make it easier to provide that context to all your teams and stakeholders. Rather than letting each team set up and run their own threat intelligence approach, centralising the data and letting each team use this can reduce costs. More importantly, it can improve the quality of your threat intelligence approach overall.

By applying a combination of algorithms and security analysts to evaluate threat intelligence centrally, you can improve the quality of the data that you have coming into the organisation in the first place. This approach provides higher quality data for decision making.

However, a centralised approach is not enough on its own. Local knowledge and analysis is always useful. Consequently, alongside any centralisation approach you have to have better filtering and search capabilities, otherwise you risk teams not being able to get the information that is particularly relevant and timely to them. This approach of bringing together centralised management of data feeds with more powerful tools for local teams to find what they want and get that access in real time represents the best of both worlds.

Planning ahead

Scenarios vary from a best case return to pre-crisis revenues of $50 to $60 per barrel by 2021 or 2022

According to consultancy firm McKinsey, the oil and gas sector faces an enormous challenge over the next few years. Scenarios vary from a best case return to pre-crisis revenues of $50 to $60 per barrel by 2021 or 2022, through to a worst case scenario where demand never returns and the industry has to undertake managed decline around some assets and look for new market opportunities in others. Whatever scenario plays out in the real world, security for existing assets will be a continued requirement.

Planning ahead using threat intelligence data will be essential whatever happens. To help reduce costs and improve data quality, centralising this approach will help. Without this mix of global oversight and local detail, companies will find their operations hampered and wrong decisions are made. It’s only by applying threat intelligence data in the right context that security teams will be able to keep up with the challenges of the future.

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Michael McCabe CEO, Intelligence Fusion

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Thermal cameras and smart cities: Preventing COVID-19 in public places

With the pandemic still in full swing and no certainty as to when exactly it will come to an end, the world has been battling anxiety for months now. And with each day, circumstances change quickly and almost make it impossible to predict what will happen next, how events will unfold, and what actions to take in light of a new situation. But one thing is certain: the world has been shut down and paralysed for way too long, and the eventual reopening is unavoidable – in fact, it’s well under way. In this situation, what is possible to control is how the world will continue reopening – and specifically, how to ensure the safest possible reopening that will ensure the return of some degree of normalcy to people’s lives and business operations, while also managing the risk of COVID’s spread in the most efficient way. 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Why cloud-enabled physical security must be part of your long-term digital strategy

COVID-19 and the resultant lockdown saw an unprecedented demand for cloud-enabled technologies across Europe. Such services enabled people to stay connected and allowed some businesses to relocate personnel and continue to operate successfully. With enterprise-focused video conferencing mobile app downloads showing a weekly 90% increase in comparison to pre-COVID-19 figures, it’s clear that cloud services have proven invaluable in these challenging times. Now, as the benefits to business of cloud technology become apparent, and the grip of COVID-19 begins to loosen, senior decision makers must consider the learnings from the past few months and look to apply them to boost productivity, streamline costs or become more agile in the long term. Digital transformation presents some enticing advantages for those companies that have been slow to adapt. 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Built in analytics, for example, that utilise the data from network video cameras and smart access control devices, produce valuable business insights that help to inform and automate decision making. In the recent pandemic, frictionless access control has meant touch free access to buildings; while occupancy tools have helped retailers adhere to strict government guidelines on social distancing. And as more security equipment becomes connected to the wider IT network, the advantages have not been lost on the IT industry that is expressing more than a passing interest in the adoption and management of such systems. Morphean recently conducted a survey of 1000 IT decision makers across the UK and Europe, with the purpose of providing clarity around their security purchasing intent in the 2020s. 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Facial recognition: Contactless solutions for a safe, post-pandemic world

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As a workforce management tool, facial recognition helps preserve the health of employees checking into work, while providing management with an infallible means of documenting employee time and attendance while providing a detailed history of overall workforce activity and individual personnel tracking. Both of which have been longstanding challenges due to easily compromised time tracking systems and practices. Now, nothing is left to question based on hard data. With the growing popularity of facial recognition technology, there are many choices already available with more undoubtedly on the way. Selecting the right solution for your specific access control and/or workforce management application is dependent on a very wide range of variables. But there are a few core characteristics that you should look for when evaluating facial recognition readers. Wide and near-angle LEDs Most facial recognition terminals employ some form of IR (Infrared) technology to help ensure high visibility by the unit’s image sensor. This often limits where the unit can be installed such as outdoors or near windows due to strong ambient light. More advanced facial recognition readers employ as many as 80 wide-angle near infrared LEDs and 60 narrow-angle near infrared LEDs, allowing the unit to recognise faces even in full daylight and brightly lit environments (not direct sun). This enables installation at indoor locations near windows, lobbies and building entries. 3D pixel intensity distribution analysis Another facial recognition reader advancement to look for involves three-dimensional pixel intensity analysis. Ambient lighting contains ultraviolet rays which can negate near infrared LED lighting, and can also cast shadows making it difficult for a facial recognition reader to pinpoint the facial recognition points required for identification and authentication. Three-dimensional pixel intensity distribution analysis minimises the effects of ambient light when acquiring facial images by minimising lighting contrasts. As a result, it is easier for the algorithm to recognise the shape of the face, enabling it to extract more facial features and create higher quality face templates, which are critical for accurate facial recognition. Functional ergonomics This results in a faster, more comfortable, and convenient user experience The angle and position of a facial recognition reader directly impact the performance of the unit. Facial recognition readers with different viewing angles for built-in visual and infrared cameras allows users to stand at positions that are most suitable for facial recognition with little or no effort of contortions. This results in a faster, more comfortable, and convenient user experience. High performance processing Like any intelligent edge device, the performance of a facial recognition solution is directly reliant on its processing power. New advanced facial recognition readers deliver exceptional performance by employing enhanced face template extraction technology combined with powerful processor. For example, a facial recognition reader with a 1.4 GHz quad-core processor can perform up to 3,000 facial database matches (1:N) within one second. More advanced solutions also feature Group Matching functionality capable of executing up to 30,000 matches within one second. 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Advanced facial recognition readers with multimodal, multifactor credentialing capabilities provide this added security benefit. For example, facial recognition readers that support multiple RFID proximity devices supporting 125 kHz and 13.56 MHz provide varying degrees of protection and greater implementation versatility. Videophone or intercom capabilities Facial recognition readers with multifunctionality can solve several challenges with one solution Facial recognition readers with multifunctionality can solve several challenges with one solution. A perfect example includes devices with SIP (session initiation protocol) videophone capabilities which effectively eliminate the need and associated expense of installing separate intercom devices while adding another layer of security to one’s facility. 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