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Insider threat programs started with counter-espionage cases in the government. Today, insider threat programs have become a more common practice in all industries, as companies understand the risks associated with not having one. To build a program, 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 organization 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 organization. They can cause brand and financial damage, along with physical and mental damage. Insider threat program Once you determine you need an insider threat program, 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 program Next, get a top to bottom risk assessment to learn your organization’s risks. A risk assessment will help you prioritize your risks and provide recommendations about what you need to include in your program. Begin by meeting with senior leadership, including your CEO to discuss expectations. Creating an insider threat program 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 program and support it before its implemented. Determining the level of monitoring The size and complexity of your company will determine the type of program needed. One size does not fit all. It will determine what technologies are required and how much personnel is needed to execute the program. 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 program, build the culture and promote awareness. Teach employees about the behaviors you are looking for and how to report them. Behavioral 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 organization need to detect insider threats? Organizations need software solutions that monitor, aggregate and analyze data to identify potential threats. Behavioral analysis software looks at patterns of behavior and identifies anomalies. Use business intelligence/data analytics solutions to solve this challenge. This solution learns the normal behavior of people and notifies security staff when behavior 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 behaviors and identifies sensitive areas of companies (pharmacies, server rooms) or files (HR, finance, development). If it sees anomalous behavior, it can predict behaviours. It can determine if someone is going to take data. It helps companies take steps to get ahead of bad behavior. 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 organization 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 program. Big companies should invest in trained counterintelligence investigators to operate the program. 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 behavior Using the right technology along with thorough processes will result in a successful program 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 behavior 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 program. IT is the most privileged department in an organization. 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 program takes time and patience. Using the right technology along with thorough processes will result in a successful program. 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 organization. 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 centralized 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 analyzed 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 organization, because the previously under-utilized data can be harnessed for enhancing productivity and performance. Video Analytics Software 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 organizations are using AI-based video intelligence solutions to enhance security and performance with searchable, actionable and quantifiable insights. The video intelligence software processes and analyses video to detect all the people and objects that appear 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 recognize 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 behaviors 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 optimizing city management and infrastructure. When video data is aggregated over time, it can be visualized into dashboards, heatmaps and reports, so operators can identify patterns and more seamlessly detect anomalous. A city could, for instance, analyze 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 behavior, 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. Video analysis empowers cities to harness their video surveillance data as operational intelligence 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 organizations can make data-driven decisions about scheduling and services. Analyzing 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 optimized 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 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 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 optimization. Countless Business Operations 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 optimization – especially when data is fused and cross-referenced across smart sensors and systems for even deeper intelligence. The campus can leverage video business intelligence to justify leasing pricing for different retailers across campus In the case of AI-backed video analytics, diverse organizations 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.
LILIN, a globally renowned manufacturer of IP video cameras, recording devices, and software, announced a strategic partnership with CyberLink, a pioneer of AI and facial recognition technologies to strike business opportunities for facial recognition. Together, CyberLink’s FaceMe AI facial recognition engine will be integrated into the LILIN facial recognition system to create comprehensive smart security and smart retail solutions. FaceMe AI facial recognition solution CyberLink’s FaceMe AI facial recognition engine achieves up to 99.7% accuracy of the NIST FRVT test, ranked No. 1 in Taiwan, and when combined with LILIN’s smart security solutions, enables one-stop smart security, data analysis and warning system service. LILIN’s smart security solution is suitable for access control management of commercial offices and factories and can provide business analysis for the restaurant and retail industries as well. AI facial recognition system LILIN’s AI facial recognition system not only has the advantage of ‘3 High’ elements, encompassing a ‘High’ recognition rate Along with over 40 years of experience in IP video manufacturing and development of IP cameras, recording devices and software, LILIN continues to pursue innovation. LILIN’s AI facial recognition system not only has the advantage of ‘3 High’ elements, encompassing a ‘High’ recognition rate, ‘High’ capacity, up to 100,000 face database and ‘High’ elevation angle to be recognized, but also supports multiple image inputs, and image search facial recognition, making it easy to distinguish the trajectory of personnel. Furthermore, companies can create file identification through a photo of the ID, and use one-stop central management to synchronize the data immediately, greatly reducing the precious time spent on complicated processes! Intelligent security solutions “LILIN has many years of smart security experience, providing insight into the market’s needs for creating a comprehensive intelligent security solution. LILIN is pleased to partner with CyberLink and integrates FaceMe into our facial recognition system to strengthen smart retail, smart healthcare, smart factory, and smart business applications. Through continued efforts, I believe that LILIN will provide the most advanced total security solution for global customers.” said Mr. C.C. Hsu, LILIN’s President. “If there was ever a field worthy of continued research and innovation, it’s security,” said Dr. Jau Huang, CEO of CyberLink, adding “Without a doubt, LILIN is a globally renowned provider and manufacturer of IoT devices and CyberLink is a worldwide pioneer developing facial recognition applications for connected devices. Together, we are setting a new standard for what makes a place secure by bringing to market new technologies that make our customers safer, and our businesses smarter.”
The COVID-19 pandemic is the defining global health crisis of our time. In order to be able to fight against it, mask detection and temperature measurement have become daily routines for everyone. In this situation, Merit LILIN, with over 40 years of experience in IP video manufacturers of IP cameras, recording devices, and software, have created a cost-effective COVID-19 solution to ensure end-user health and safety. Temperature measurement Many solutions should provide temperature information, with alert settings that trigger alarms when temperatures are high. The main component of LILIN Temperature Measuring Camera is a dual-lens camera with two sensors, one a visible image lens and the other a thermal array sensor. This design not only provides temperature information and color image information but also high-temperature alert settings when the temperature exceeds. Mask detection With COVID-19 rules and regulations now incorporating person protection equipment such as masks, many solutions are now geared towards mask detection. LILIN has its own mask detection AI, which can be run on an i3 CPU-supported PC. Using the LILIN AI system and Aida NAV server, the system can recognize if the person is wearing a mask or not. If the system identifies a user that is not wearing a mask, an alert goes out with an image of the person. It allows the application to run automatically and enforces the wearing of masks in many situations. A notification is sent to an administrator when an image of a person is captured. Social distancing measures In addition to temperature measurement and mask detection becoming daily epidemic prevention matters, maintaining social distance is extremely significant as well. Through the LILIN Aida detection system, people can calculate the social density and use it with alarm notifications, if an area exceeds the density threshold. Moreover, the LILIN COVID-19 solution has a wide range of applications in different sectors, including schools, public transportation systems, offices, retail and more. By doing so, extensive safety measures can combat COVID-19, providing the public with intelligent epidemic prevention solutions, through innovative AI detection systems.
With the introduction of the AIDA Traffic Management platform, LILIN has transformed Intelligent Traffic Systems from expensive, often inaccurate, and inflexible computer-vision solutions into a new simplified platform with embedded Artificial Intelligence (AI) that learns, adapts and detects every detail of street-level vehicle activity. Engineered for seamless integration into LILIN Windows®-based VMS products including Navigator Control Center, Navigator Corporate, and Navigator Enterprise, AIDA Traffic Management installs on the edge and uses metadata to bring real-time traffic data to organizations and municipalities. Enforcing parking and traffic violations AIDA is purpose-built for a flexible range of ITS applications, making each user-selected function completely automated and cost-efficient. For example, AIDA can extract data from vehicles traveling on multi-lane highways or urban streets, allowing municipalities to better enforce parking and traffic violations, recover stolen cars, or assist law enforcement in Amber Alerts. AIDA can recognize 12 license plates per second on vehicles traveling up to 125 miles per hour AIDA can recognize 12 license plates per second on vehicles traveling up to 125 miles per hour, casting an astonishingly wide net. Police can store and later access this data, enabling investigators to zero in on a suspect's whereabouts and behavioral patterns. Besides monitoring cars, trucks and motorcycles, AIDA can detect pedestrians loitering or entering restricted areas. Capturing vital operational data In a parking lot, AIDA can compare license plate data to pre-defined lists of allowed or excluded vehicles before taking an appropriate action, such as opening a gate or generating an alert if an unauthorized vehicle enters an area as a value-added service. It can also locate available parking slots and broadcast this information to incoming cars. In addition to its security role, AIDA can capture vital operational data about parking infrastructures, including the number of cars served by time, day, and length of stay. This data can then be applied to help optimize a staffing schedule and maximize the profitability of a parking lot's rate structure. AIDA removes the hassles of traditional computer vision techniques that require extensive, CPU-draining image processing. In contrast, AIDA software incorporates an AI engine that is instructed to learn what to look for and is able to run multiple models on distributed AI CPU, GPU, and VPUs.
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