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Insider threat programmes started with counter-espionage cases in the government. Today, insider threat programmes have become a more common practice in all industries, as companies understand the risks associated with not having one. To build a programme, you must first understand what an insider threat is. An insider threat is an employee, contractor, visitor or other insider who have been granted physical or logical access to a company that can cause extensive damage. Damage ranges from emotional or physical injury, to personnel, financial and reputational loss to data loss/manipulation or destruction of assets. Financial and confidential information While malicious insiders only make up 22% of the threats, they have the most impact on an organisation Most threats are derived from the accidental insider. For example, it’s the person who is working on a competitive sales pitch on an airplane and is plugging in financial and confidential information. They are working hard, yet their company’s information is exposed to everyone around them. Another type of insider, the compromised insider, is the person who accidentally downloaded malware when clicking on a fake, urgent email, exposing their information. Malicious insiders cause the greatest concerns. These are the rogue employees who may feel threatened. They may turn violent or take action to damage the company. Or you have the criminal actor employees who are truly malicious and have been hired or bribed by another company to gather intel. Their goal is to gather data and assets to cause damage for a specific purpose. While malicious insiders only make up 22% of the threats, they have the most impact on an organisation. They can cause brand and financial damage, along with physical and mental damage. Insider threat programme Once you determine you need an insider threat programme, you need to build a business case and support it with requirements. Depending on your industry, you can start with regulatory requirements such as HIPAA, NERC CIP, PCI, etc. Talk to your regulator and get their input. Everyone needs to be onboard, understand the intricacies of enacting a programme Next, get a top to bottom risk assessment to learn your organisation’s risks. A risk assessment will help you prioritise your risks and provide recommendations about what you need to include in your programme. Begin by meeting with senior leadership, including your CEO to discuss expectations. Creating an insider threat programme will change the company culture, and the CEO must understand the gravity of his/her decision before moving forward. Everyone needs to be onboard, understand the intricacies of enacting a programme and support it before its implemented. Determining the level of monitoring The size and complexity of your company will determine the type of programme needed. One size does not fit all. It will determine what technologies are required and how much personnel is needed to execute the programme. The company must determine what level of monitoring is needed to meet their goals. After the leadership team decides, form a steering committee that includes someone from legal, HR and IT. Other departments can join as necessary. This team sets up the structure, lays out the plan, determines the budget and what type of technologies are needed. For small companies, the best value is education. Educate your employees about the programme, build the culture and promote awareness. Teach employees about the behaviours you are looking for and how to report them. Behavioural analysis software Every company is different and you need to determine what will gain employee support The steering committee will need to decide what is out of scope. Every company is different and you need to determine what will gain employee support. The tools put in place cannot monitor employee productivity (web surfing). That is out of scope and will disrupt the company culture. What technology does your organisation need to detect insider threats? Organisations need software solutions that monitor, aggregate and analyse data to identify potential threats. Behavioural analysis software looks at patterns of behaviour and identifies anomalies. Use business intelligence/data analytics solutions to solve this challenge. This solution learns the normal behaviour of people and notifies security staff when behaviour changes. This is done by setting a set risk score. Once the score crosses a determined threshold, an alert is triggered. Case and incident management tools Predictive analytics technology reviews behaviours and identifies sensitive areas of companies (pharmacies, server rooms) or files (HR, finance, development). If it sees anomalous behaviour, it can predict behaviours. It can determine if someone is going to take data. It helps companies take steps to get ahead of bad behaviour. If an employee sends hostile emails, they are picked up and an alert is triggered User sentiment detection software can work in real time. If an employee sends hostile emails, they are picked up and an alert is triggered. The SOC and HR are notified and security dispatched. Depending on how a company has this process set-up, it could potentially save lives. Now that your organisation has all this data, how do you pull it together? Case and incident management tools can pool data points and create threat dashboards. Cyber detection system with access control An integrated security system is recommended to be successful. It will eliminate bubbles and share data to see real-time patterns. If HR, security and compliance departments are doing investigations, they can consolidate systems into the same tool to have better data aggregation. Companies can link their IT/cyber detection system with access control. Deploying a true, integrated, open system provides a better insider threat programme. Big companies should invest in trained counterintelligence investigators to operate the programme. They can help identify the sensitive areas, identify who the people are that have the most access to them, or are in a position to do the greatest amount of harm to the company and who to put mitigation plans around to protect them. They also run the investigations. Potential risky behaviour Using the right technology along with thorough processes will result in a successful programme You need to detect which individuals are interacting with information systems that pose the greatest potential risk. You need to rapidly and thoroughly understand the user’s potential risky behaviour and the context around it. Context is important. You need to decide what to investigate and make it clear to employees. Otherwise you will create a negative culture at your company. Develop a security-aware culture. Involve the crowd. Get an app so if someone sees something they can say something. IT should not run the insider threat programme. IT is the most privileged department in an organisation. If something goes wrong with an IT person, they have the most ability to do harm and cover their tracks. They need to be an important partner, but don’t let them have ownership and don’t let their administrators have access. Educating your employees and creating a positive culture around an insider threat programme takes time and patience. Using the right technology along with thorough processes will result in a successful programme. It’s okay to start small and build.
Today, the world is connected like never before. Your watch is connected to your phone, which is connected to your tablet and so on. As we’ve begun to embrace this ‘smart’ lifestyle, what we’re really embracing is the integration of systems. Why do we connect our devices? The simplest answer is that it makes life easier. But, if that’s the case, why stop at our own personal devices? Connection, when applied to a business’ operations, is no different: it lowers effort and expedites decision making. Integrating security systems Systems integration takes the idea of connected devices and applies it to an enterprise Systems integration takes the idea of connected devices and applies it to an enterprise, bringing disparate subcomponents into a single ecosystem. This could mean adding a new, overarching system to pull and collect data from existing subsystems, or adapting an existing system to serve as a data collection hub. Regardless of the method, the purpose is to create a single, unified view. Ultimately, it’s about simplifying processes, gaining actionable insights into operations and facilitating efficient decision-making. Although integration is becoming the new norm in other areas of life, businesses often opt out of integrating security systems because of misconceptions about the time and resources required to successfully make the change. So, instead of a streamlined operation, the various security systems and devices are siloed, not communicating with each other and typically being run by different teams within an organisation. Time-intensive process When systems are not integrated, companies face a wide range of risks driven by a lack of transparency and information sharing, including actual loss of property or assets. For example, a team in charge of access control is alerted to a door being opened in the middle of the night but can’t see what exactly is taking place through video surveillance. Without integrated systems they have no way of knowing if it was a burglar, an equipment malfunction or a gust of wind. Without integration between systems and teams, the ability to quickly put the right pieces in front of decision makers is missing. Instead, the team would have to go back and manually look for footage that corresponds with the time a door was open to figure out which door it was, who opened it and what happened after, which can be a time-intensive process. Integrating access control and surveillance systems Theft and vandalism occur quickly, meaning systems and users must work faster in order to prevent it This slowed response time adds risk to the system. Theft and vandalism occur quickly, meaning systems and users must work faster in order to prevent it. Security systems can do more than communicate that theft or vandalism occurred. Properly integrated, these systems alert users of pre-incident indicators before an event happens or deter events altogether. This gives teams and decision makers more time to make effective decisions. Integrating access control and surveillance systems allows for a more proactive approach. If a door is opened when it’s not supposed to be, an integrated system enables users to quickly see what door was opened, who opened it and make a quick decision. Integrated solutions are more effective, more efficient and help drive cost-saving decisions. Ideally, companies should establish integrated solutions from the start of operations. This allows companies to anticipate problems and adjust accordingly instead of reacting after an incident has occurred. Security camera system Although starting from the beginning is the best way to ensure comprehensive security, many companies have existing security systems, requiring integration and implementation to bring them together. Typically, companies with established security systems worry about the impact to infrastructure requirements. Is additional infrastructure necessary? How and where should it be added? What financial or human resources are required? These concerns drive a mentality that the benefits gained from an integrated solution aren’t worth the costs of implementation. Thankfully, this is becoming less of a problem as security providers, like Twenty20™ Solutions, work to offer adaptable solutions. With flexible options, operators don’t worry about adding or replacing infrastructure to align with a provider’s model. This allows users to monitor camera footage and gate traffic from one system If a company has an existing security camera system, but identifies a need for access control, a modern integrated solution provider can supply the gates for access points and equip the gates and cameras with the technology to connect the two. This allows users to monitor camera footage and gate traffic from one system. This model also spares operators additional costs by using a sole vendor for supplemental needs. Overall management of security While a single, unified system is beneficial for cost saving, it can also help the overall management of security. The ability to view all operating systems in one dashboard allows security personnel to manage a site from any location, reducing the expense and effort required to manage a system. The mobile world today means security directors no longer need to be in a centralised operations center to see alerts and make decisions. This simplifies processes by allowing users to quickly see an alert, pull up a camera, delete a user or check an access log from a phone. Modern networks are secure and accessible to those with permissions, without requiring those users to be physically present. Consolidating security systems is the first step companies can take toward streamlining work, information and costs. The next step is integrating all sites, both remote and on-grid. Energy and communication technology The integration of sites and systems turns mountains of data and information into actionable intelligence Traditional methods demanded two systems: one for on-grid facilities and another for off-grid locations. With advancements in energy and communication technology, the need for multiple systems is gone. Data from remote sites can be safely and securely fed into an existing system. These remote locations may gather, distribute and manage data in a different manner than a connected system due to the cost of transmission via remote connections (i.e., cellular or satellite connection). The end result, however, is a consistent and holistic view of operations for the decision maker. The integration of sites and systems turns mountains of data and information into actionable intelligence. With connected devices monitoring occurrences at individual sites, as well as events across locations, the data tells a story that is unhindered by operational silos or physical space. Identifying patterns and trends Instead of providing 10 hours-worth of footage that may or may not be relevant, system analytics can provide users with the specific set of information they need. Incidents once discarded as ‘one-off’ events can now be analysed and data-mapped to identify patterns and trends, directing future resources to the most critical areas first. Consumers are increasingly expecting everything they need to be right where they need it – and businesses are right behind them. The current generation of security professionals are increasingly expecting the simplicity of their everyday personal tasks to be mirrored in enterprise systems, which means giving them the ability to see what matters in one place. A unified system can provide just that, a single view to help simplify processes, promote cost saving and accelerate decision making.
Artificial intelligence (AI) is improving everyday solutions, driving efficiency in ways we never imagined possible. From self-driving cars to intelligent analytics, the far-reaching impacts of Deep Learning-based technology empower human operators to achieve results more effectively while investing fewer resources and less time. By introducing AI, solutions are not merely powered by data, but they also generate valuable intelligence. Systems which were once leveraged for a narrow, dedicated purpose, can suddenly be engaged broadly across an organisation, because the previously under-utilised data can be harnessed for enhancing productivity and performance. Video analytics software The video intelligence software processes and analyses video to detect all the people and objects that appear When it comes to physical security, for instance, video surveillance is a standard solution. Yet, by introducing AI-driven video analytics software, video data can be leveraged as intelligence in previously inaccessible ways. Here are some examples of how diverse organisations are using AI-based video intelligence solutions to enhance security and performance with searchable, actionable and quantifiable insights. Law enforcement relies on video surveillance infrastructure for extracting investigation evidence and monitoring people and spaces. Instead of manual video review and live surveillance – which is prone to human error and distraction – police can harness video content analysis to accelerate video investigations, enhance situational awareness, streamline real-time response, identify suspicious individuals and recognise patterns and anomalies in video. The video intelligence software processes and analyses video to detect all the people and objects that appear; identify, extract and classify them; and then index them as metadata that can be searched and referenced. Maintaining public safety For law enforcement, the ability to dynamically search video based on granular criteria is critical for filtering out irrelevant details and pinpointing objects of interest, such as suspicious persons or vehicles. Beyond accelerating video evidence review and extraction, police can leverage video analysis to configure sophisticated real-time alerts when people, vehicles or behaviours of interest are detected in video. Instead of actively monitoring video feeds, law enforcement can assess triggered alerts and decide how to respond. In this way, officers can also react faster to emergencies, threats and suspicious activity as it develops. Video analysis empowers cities to harness their video surveillance data as operational intelligence Empowering law enforcement to maintain public safety is important beyond the benefit of increasing security: A city with a reputation for effective, reliable law enforcement and enhanced safety is more likely to attract residents, visitors and new businesses, exponentially driving its economic development. Furthermore, in cities where law enforcement can work productively and quickly, time and human resources can be reallocated to fostering growth and building community. Video surveillance data Video analysis empowers cities to harness their video surveillance data as operational intelligence for optimising city management and infrastructure. When video data is aggregated over time, it can be visualised into dashboards, heatmaps and reports, so operators can identify patterns and more seamlessly detect anomalous behaviour. A city could, for instance, analyse the most accident-prone local intersection and assess the traffic patterns to reveal details such as where cars are dwelling and pedestrians are walking; the directional flows of traffic; and the demographic segmentations of the objects detected: Are cars lingering in no-parking zones? Are pedestrians using designated crosswalks – is there a more logical location for the crosswalk or traffic light? Do vehicles tend to make illegal turns – should police proactively deter this behaviour, or should the city plan new infrastructure that enables vehicles to safely perform these turns? Finally, does the rise in bike traffic warrant implementing dedicated biking lanes? With video intelligence, urban planners can answer these and other questions to facilitate local improvements and high quality of life. By leveraging the video insights about citywide traffic, public transit organisations can make data-driven decisions about scheduling and services Enhancing situational awareness Insight into traffic trends is also critical for transport companies, from public transit services to transportation hubs and airports. By leveraging the video insights about citywide traffic, public transit organisations can make data-driven decisions about scheduling and services. Analysing video surveillance around bus stops, for instance, can help these companies understand the specific hours per day people tend to dwell around bus stops. Correlating this information with transactional data for each bus line, bus schedules can be optimised based on demand for individual bus lines, shortening waiting times for the most popular routes. Similarly, the traffic visualisations and activity heatmaps derived from the video of major transit hubs, such as international airports and central stations, can be beneficial for increasing security, enhancing situational awareness, identifying causes of congestion, improving throughput and efficiency and, ultimately, solving these inefficiencies to provide a streamlined customer experience for travellers. Large education campuses Campus law enforcement can leverage video data to increase situational awareness and public safety Much like a city, large education campuses have internal transportation services, residential facilities, businesses and law enforcement, and video content analysis can support the campus in intelligently managing each of those business units, while also providing video intelligence to these individual groups. Campus law enforcement can leverage video data to increase situational awareness and public safety, driving real-time responses with the ability to make informed assessments and accelerating post-event investigations with access to easily extractable video data. When campuses are expanding or developing additional infrastructure, they can plan new crosswalks, traffic lights, roads, buildings and entrances and exits based on comprehensive video intelligence. By understanding where pedestrians and vehicles dwell, walk, cross or even violate traffic laws, the campus can inform construction projects and traffic optimisation. Countless business operations The campus can leverage video business intelligence to justify leasing pricing for different retailers across campus Finally, the campus can leverage video business intelligence to justify leasing pricing for different retailers across campus, demonstrating property values based on traffic trends that can be correlated with retailer point of sale data. Whether its empowering security, productivity or decision-making, the insights generated by AI-based technology can drive significant optimisation – especially when data is fused and cross-referenced across smart sensors and systems for even deeper intelligence. In the case of AI-backed video analytics, diverse organisations can harness video surveillance impactfully and dynamically. Whereas once video technology investments could be justified for their security value – with the introduction of AI capabilities – procurement teams can evaluate these solutions for countless business operations, because they offer broadly valuable intelligence. And video surveillance and analytics is merely one example of AI-driven solutions’ potential to disrupt business as we know it.
Visimetrics, digital video surveillance specialist, is a proven quantity for surveillance systems within the casino industryLeading manufacturer of Digital Evidence Recorders™ for CCTV and surveillance applications, Visimetrics, have provided their flagship FASTAR CCTV recording solution to A&S Leisure's Napoleons chain of casinos in Sheffield, Leeds, Hull and Bradford.Operational Director of A&S Leisure Group, Mark Allen, says, "Visimetrics are a proven quantity for surveillance systems within the casino industry. With clear experience and reference projects in place, they came highly recommended by our systems integrator Zepha Security and industry colleagues alike. We needed a very high quality recording system with clear video and audio output that could be used easily by our staff on site while also providing remote access to our sites from head office. We were also keen to ensure we had a fully flexible solution that can be easily extended moving forward."While I'm happy to say the solution in practice has proved excellent, the experience of working with Visimetrics in designing and delivering our surveillance system has been invaluable. We are benefiting further from this by collectively looking at ways of using the recording systems to bring more information together. A current example is the integration of till information - linking our EPOS data with the video recordings using the data recording feature within FASTAR."Visimetrics Business Development Director, Gary James, says, "We're delighted that A&S Leisure has chosen our solution for their casinos. Our recorders are used daily to gather evidence of cheat moves, theft, barred persons, self-excluders etc. We've focused heavily on casino usage in the development of our management software, CONTROL SMS. Various tools and features have been incorporated for the management, review and export of footage by surveillance, security and compliance departments."By far the core of FASTAR's daily usage is in resolving gaming disputes quickly. While the need for high quality video is obvious it's the audio content and quality that becomes essential in these circumstances and is often the deciding factor in closing disputes satisfactorily.The implementation of the FASTAR solution at all Napoleons Casinos is now completed and the EPOS project is currently under development.
Playerbook Facial Recognition System launch will take place at IFSEC 2011 Leading CCTV storage systems manufacturer, Visimetrics (UK) Ltd, will be launching their new Playerbook™ facial recognition system at IFSEC 2011. Playerbook has been developed to operate reliably in the lighting conditions normally found in casino environments. Powered by Omniperception's facial recognition engine, the new application is the result of a 2 year development process between the companies.Gary James, Business Development Director of Visimetrics says "The background to the development of Playerbook originated from many of our casino clients who indicated that a form of non-intrusive, reliable subject identification would be of significant benefit to them in dealing with the public. Casinos have a vested interest, for compliance and commercial reasons, in identifying certain types of visitors on entry to the venue. We knew from our experience of digital CCTV systems that the various forms of lighting within casinos create shadowing, reflection and glare. These effects have a significant impact on the reliability of facial recognition. We knew we needed to find another approach to solving the problem and identified the unique facial recognition process Omniperception developed as the core engine most likely to meet the consistency and reliability needed in casinos."Gary continues "At the heart of the system is a subject watchlist that allows security and surveillance staff to automatically detect self-excluders, barred/crime & disorder subjects, advise on entry subjects, VIP's and more. Playerbook operates in real time, providing reliable and consistent identification. The critical challenge was to develop a system, which reliably detects faces in the low or zero light conditions you find in casinos. We believe we have achieved this successfully. Playerbook works by locating the 500-600 unique facial identifiers of individuals as they pass the IR sensor. Using a unique illumination and polarisation filter system, Playerbook is able to consistently compare the detected facial identifiers with subjects already stored within the watchlist regardless of shadows, glare or reflection. The watchlist search is completed instantly. When there's a match between a subject entering the venue and the watchlist, Playerbook alerts staff immediately via the GUI, SMS or email. Playerbook has been successfully proven using ground-truth validation testing within one of the largest casinos in the UK. The invaluable input from the management and staff was critical to the development and refining process to achieve a reliable solution within such a difficult operating environment." "Playerbook operates in real time, providing reliable and consistent identification. The critical challenge was to develop a system, which reliably detects faces in the low or zero light conditions you find in casinos. We believe we have achieved this successfully..."Playerbook @ a glance: Light immune - uses a unique lighting solution designed to work in dark environment Fast - captures facial identifiers and compares these against a 'watchlist' in real timeAccurate - Playerbook is powered by Omniperception's facial recognition engineConvenient - Playerbook's non-intrusive IR sensor identifies subjects to a range of 5 metresEasy to use - simple workflow using browser based app to add individuals to watchlist Playerbook will be demonstrated at the Intelligent Integration Zone on Stand E140 in Hall 4.If you would like to arrange an appointment for a demonstration in advance of the show, please contact Gary James on e-mail or on tel: 01292 673 770.Playerbook captures facial identifiers and compares these against a 'watchlist' in real time.
The metadata extracted from the video as it is being recorded is used by FiND for creation of databaseLeading CCTV storage systems manufacturer, Visimetrics (UK) Ltd, will be launching the result of a £1M research and development project at IFSEC this year. FiND will significantly reduce the search time of large periods of CCTV recordings for key points of evidence. The R&D project team includes the DTI's Technology Strategy Board, Loughborough University, PERA and Visimetrics.Craig Howie, Commercial Director of Visimetrics, says, "Following the London bombings in July 2005, the Metropolitan Police Service reviewed over 100,000 hours of CCTV footage as part of their incident investigation. This process consumed a huge amount of operational man hours and significantly increased the amount of time required to progress the investigation. The issues faced by the police in this instance inspired a technical solution to significantly reduce the time, man power resources, (and costs) needed to review large amounts of CCTV recordings while searching for key points of evidence." "FiND - Forensic investigation Network Database - has been developed with the capability of linking to any CCTV recording system to create and index key objects of interest at the time of video capture and storage. The technology works by allowing operators to search via a powerful 'FiND' processing engine that immediately identifies relevant footage. By inputting key parameters, the system will search the database of classified objects and display relevant images using thumbnail identification, ready for review. The speed of response is derived from searching the object data index, rather than the traditional video based 'region of interest' search, using selected areas of a specific camera." "FiND will reduce the search period of days, weeks - or months - worth of digitally recorded video down to a matter of seconds..." FiND emerged from initial research undertaken by Loughborough University evaluating the most technically challenging aspects of using automated video analysis to search large volumes of existing CCTV recordings for key or 'known' objects of interest. Performing complex video analysis on recordings from public space cameras in particular is challenging and the development team had to overcome many limitations affecting image quality. These included camera position, height, skew and shake as well as common issues such as lighting, colour consistency and video interlacing. Resolving these issues is essential in order to perform accurate evaluation to reach a stage where you can analyse the video. Two areas in particular quickly became evident as barriers to progress: colour consistency and lighting/shadowing. The team developed algorithms to overcome these barriers and this dramatically improved the video consistency and the accuracy of results.The stored metadata is negligible in size when compared to standard resolution and frame rate videoGenerating colour and lighting consistency formed the foundation for the research and development of a comprehensive set of algorithms specifically aimed at resolving vehicle classification, people classification, license plate identification using CCTV cameras, text/logo detection, baggage detection, complex background processing and PTZ compensation. A number these algorithms are completely unique.FiND functions by the creation of a database of key objects of information extracted from the video as it is being recorded. This information is normally referred to as metadata and provides the source of results for all future searches. The stored metadata is negligible in size when compared to standard resolution and frame rate video. Thus, storing all key objects of interest from an entire system in this way becomes irrelevant in overall storage terms. The metadata is created in real time by processing the recorded video using the unique algorithms. This process captures all relevant objects within each video scene to give operators a wide range of search criteria for any future investigation.As an example of the scope of search the criteria can be set to 'person wearing red shirt'. Further refinement can be added to achieve 'person wearing red shirt, carrying a back pack at a specific time of day'. Searching in this way then occurs across the entire source of metadata from all cameras. This produces the most comprehensive set of results from entire recording systems using a single step process.In vehicle classification derived attributes take the form of number plates, logos, signage, etc.FiND classifies objects as part of its identification process. Object classification is based upon a hierarchical approach beginning with the determination of either vehicle or person(s). Once a person(s) or vehicle has been classified, further feature determination is performed, right down to very basic attributes such as shape, colour, location relative to the frame, time, characters etc. Basic features are then used to FiND derived attributes such as the presence of a suitcase, backpack etc. when classified as human objects. In vehicle classification; derived attributes take the form of number plates, logos, signage, etc. The derived attributes are stored alongside the basic attributes for use in all future searching.According to Craig Howie, "FiND will reduce the search period of days, weeks - or months - worth of digitally recorded video down to a matter of seconds. The range of search criteria, evidential algorithms and pre-indexed video gives users the means to view the matching images as they work. The speed and accuracy of results makes the running and re-running of searches practical as more off-line information relating to an incident becomes available. There is no need to select individual cameras, 'regions of interest 'or wait for short sections of video to be indexed on-demand before viewing. FiND searches the pre-indexed video across the entire recording system to quickly identify images matching the operators search criteria."FiND is available as an extension to existing recording systems. FiND has also been developed for true portability of the algorithms and metadata creation for use within embedded products such as IP cameras, video encoders or DVR/NVRs. FiND is also available with a software interface providing the means to integrate the search tool with legacy or third party applications and systems.
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