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【2020 Application Example】 Through smart sensing technology, effectively reducing the misjudgment rate of business email fraud by over 50%, safeguarding corporate finances!

Business email fraud causes over ten billion USD in losses annually!

Business Email Compromise (BEC) has become a global threat, causing losses of over ten billion dollars every year. Criminal organizations target victim companies in various ways, infiltrating and lurking over long periods to steal information, eventually orchestrating scams to induce victims to make payments or transact with the wrong parties.

In such crimes, key fraudulent emails often appear indistinguishable from ordinary business or personal correspondence because they match business contexts and daily transaction behaviors. BEC messages may not even contain URLs or attachments that could be detected by technical security measures, rendering antivirus and click-prevention strategies ineffective.

With email fraud being rampant, effective prevention of such threats has become a top priority!

A domestic biomedical manufacturer, one of the government's five major innovation industries and a recipient of the 13th Startup Business Award from the Ministry of Economic Affairs, features high innovation and high risk in the biotechnology sector. Handling sensitive information related to new drugs, experimental materials, or market development, and even confidential personal data tied to medical and clinical trials, the company faces substantial threats from BEC scams. They hope to leverage AI's interpretation capabilities for more accurate and comprehensive alerts against malicious emails, ultimately enhancing productivity and avoiding scams.

Utilizing AI recognition to preemptively deter threatening emails, effectively boosting corporate productivity!

'Artificial Intelligence-assisted BEC transaction intent perception' is a feature developed by NetzEngine Information Software Co., Ltd. and Dupont Digital Security Ltd., capable of identifying emails with transactional intents and incorporating them into NetzEngine's MailGates email behavior analysis module to detect threatening messages and improve the detection accuracy of suspicious threat emails.

This case uses two functionalities from the aforementioned AI technologies, 'Email Fraud Protection by Mail Header Security Policy' and 'Email Fraud Protection by Email Behavior Analysis Policy'.

Openfind MailGates' 'Mail Header Security Policy' feature

▲Openfind MailGates' 'Mail Header Security Policy' feature

In MailGates' 'Email Fraud Protection' features, the 'Mail Header Security Policy' can be adjusted. For example, all emails from hotmail.com must have a correct From header, but the Reply-to header will be blank, this is the correct format for Hotmail emails, the same applies to Gmail.

If the email comes from another source, however, it should adhere to the filtering rules recommended by MailGates: Both From and Reply-to should come from the correct and same domain, otherwise, it is likely to be a fraudulent message. The third rule in the image represents all emails from openfind.com.tw should use the aforementioned default rules for inspection. If an email does not comply with the Mail Header Security Policy as per this setup, users will receive a 'Email Fraud Warning' notification on the subject line, helping to prevent BEC email fraud.

▲Openfind MailGates' 'Email Behavior Analysis Policy' feature, can set 'Protection Level'

Openfind MailGates' 'Email Behavior Analysis Policy' feature, can set 'Operational Actions'

▲Openfind MailGates' 'Email Behavior Analysis Policy' feature, can set 'Operational Actions'

In MailGates' 'Email Fraud Protection' feature, the 'Email Behavior Analysis Policy' can be applied as needed. This feature's design and settings might seem complex for average users, who could opt for the 'Intelligent Detection' method instead, simply choosing among 'Loose, Standard, Strict' levels. The system will determine the actual settings for these levels based on recently collected feedback data. More skilled managers can use the 'Custom' mode, to set all behavior analysis functionalities in detail.

For example, by listing commonly impersonated domain names under 'Similar External Domains', the system will automatically consider similar but unequal domains, intended to impersonate and deceive users, as higher threat sources. This feature allows users to set alerts for such emails, including using title and content warnings, and through behavior analysis, if the system deems the email likely to be a BEC fraud, it will clearly prompt users to be vigilant.

'Email Fraud Protection by Mail Header Security Policy' and 'Email Fraud Protection by Email Behavior Analysis Policy' are actually planned and designed functionalities incorporated into the MailGates email protection system, combined with the aforementioned AI research outcomes, all MailGates users will be able to utilize these two functions against BEC scam emails.

For corporate clients, 'missed threat emails' represent the most significant information security threat and the aspect most needing improvement. With the adoption of NetzEngine's BEC smart sensing mechanisms, they can immediately and effectively reduce the threats of BEC scams within the unit, avoiding scams and boosting corporate productivity!

Comprehensively guarding客户 client email security, expanding the value of the domestic information security industry

NetzEngine Information Software Co., Ltd., in collaboration with AI startup Dupont Digital Security Ltd., adopts NLP and more specialized threat analysis technologies, capable of intelligently perceiving emails with transaction intentions and increasing the interception rate of BEC emails. This not only enhances client value and maintains their cybersecurity capabilities, but as a leader in domestic email security, Openfind NetzEngine Information will continue to develop solutions for email and messaging communication security.

In the future, NetzEngine plans to integrate BEC protection and APT sandbox defense technologies, continuously expanding into a derivative product line: Advanced Threat Protections. By addressing customer needs against the continually increasing cybersecurity threats with a robust and comprehensive protection solution, it aims to deliver greater value to customers, while also expanding the domestic information security industry's problem-solving options and enhancing its value.

In the current high-end cybersecurity protection market, many clients can only use products from foreign manufacturers. These products' designs, usage processes, and, most crucially, the sources and processes of samples or policy settings often do not suit the specific requirements of domestic government agencies or enterprises. Therefore, through products and services offered by NetzEngine, enterprises will be helped to safeguard email security.

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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Taking advantage of green energy business opportunities, Hua Molybdenum Industry creates all-vanadium redox flow battery energy storage system equipment, the best choice for long-term energy storage

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establish a local supply chain of vanadium flow battery electrolytes around the world by accumulating abundant technology and performance capital to supply industry needs nearby 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【導入案例】防患於未然 麗臺科技研發心臟衰竭AI辨識技術可及早發現病徵
Preventing Problems Before They Arise: Leadtek Research Develops AI Technology for Early Detection of Heart Failure Symptoms

With the increase in the elderly population, the incidence of various chronic diseases is rising daily Among these, heart failure is not only a silent killer it has a very long disease course with a high recurrence rate, leading to increased burden on healthcare personnel However, by using medically certified electrocardiography acoustics devices, coupled with AI predictive assessment of heart failure risk and remote care systems, diagnosis can be aided significantly, helping doctors make accurate diagnoses for subsequent patient medical care or referrals Heart failure has a lengthy course and medical expenditure is five times that of diabetes If you find yourself short of breath even with minimal movement, or if you wake up from sleep needing to sit up to feel comfortable, or if you have symptoms such as swollen lower limbs, anxiety, restlessness, fatigue, or a loss of appetite, be cautious These could be signs of heart failure According to statistics, there are about 60 million people with heart failure worldwide, with 5 million new cases every year In China, nearly 290 million people suffer from cardiovascular diseases, accounting for the second leading cause of death among urban residents around 12 million of these are heart failure patients, accounting for over 59 of cardiac-related deaths The disease course of heart failure is exceptionally long, and both its recurrence and rehospitalization rates are exceedingly high, resulting in medical costs that are twice that of hypertension and five times those of diabetes According to US research statistics, the 30-day mortality rates for patients with myocardial infarction and heart failure are respectively 166 and 111, and the rehospitalization rates within 30 days are 199 and 244 The symptoms of heart failure, because they are similar to those of other diseases such as chronic obstructive pulmonary disease and asthma, have an 185 misdiagnosis rate, which poses a challenging problem for healthcare institutions Leadtek, a major graphics card manufacturer, has been investing in the medical and healthcare sector since 2000 Following two heart attacks in 2011 and 2015 experienced by Chairman Lu Kunshan, Leadtek has focused on health big data, independently developing AI technology for heart failure recognition This AI application reads patients' electrocardiograms and phonocardiograms to perform anomaly detection and model prediction of heart failure risk, enabling early detection of disease symptoms Leadtek independently developed heart failure AI recognition technology to predict medical history and risk Leadtek's independently developed heart failure AI recognition technology has the following three judgment functions 1 Prediction of heart failure history Classifies electrocardiogram and phonocardiogram data into 'with hospitalization history of heart failure' and 'no history of heart failure' 2 Risk prediction of heart failure Provides a predictive risk value of heart failure occurrence based on the electrocardiogram and phonocardiogram data 3 Prediction of heart failure recurrence risk For patients with heart failure, it reads their phonocardiogram and electrocardiogram data, assessing the risk prediction of heart failure recurrence Leadtek states that the application of heart failure AI recognition technology can assist doctors in making more efficient and accurate diagnoses, facilitating subsequent medical treatment or referrals for patients As an instance, in studies of heart failure patients discharged from Taipei Veterans General Hospital, using the EMAT Electromechanical Activation Time index and SDI Systolic Dysfunction Index calculated by the synchronized electrocardiography-acoustic device as treatment guidelines resulted in a higher survival rate compared to those treated based on traditional symptoms This research has also been published in the authoritative international cardiology journal JACC, receiving recognition in the international market System manufacturers can apply heart failure AI recognition technology for other value-added applications Leadtek states that cooperating system manufacturers can choose to build their own heart failure AI risk prediction engine, uploading their system's electrocardiogram and phonocardiogram data to Leadtek's heart failure AI risk prediction engine, which then returns risk prediction values for integration by system manufacturers cooperating manufacturers as a value-added application input Not just for clinical use, the heart failure AI risk prediction engine can also be extended for use at home or in the workplace Additionally, this system can be extended to other applications, including One, hospital outpatient screening Doctors can use the electrocardiogram and phonocardiogram recorder along with the heart failure AI risk prediction model to conduct a 10-second rapid test in outpatient and emergency departments to assess a patient's cardiac history and heart failure risk Two, discharge risk assessment Doctors can use the electrocardiogram and phonocardiogram recorder along with the heart failure AI risk prediction model to assess the heart failure risk during a patient's hospital stay The test data can serve as a pre-discharge risk assessment and prognostic indicator Three, continuous home care Patients can use the electrocardiogram and phonocardiogram recorder, wearable electrocardiogram recorder, and transmit through a home transmission box gateway to measure electrocardiogram and phonocardiogram signals at home and upload them to the amor health cloud platform for heart failure AI risk prediction analysis Patients can manage their health autonomously via an APP, reviewing historical physiological trends disease management nurses can manage member health through the health management backend Web Four, home rehabilitation training Patients can wear a health bracelet to monitor activity, fatigue, circulation, and sleep, autonomously managing their health through the mobile APP and observing the risk of heart failure, engaging in exercise and rehabilitation training to aid in swift recovery The heart failure AI recognition technology system can also be extended to employee home care applications Additionally, in factories or offices, this system can also achieve employee health management goals, with applications including One, workplace safety units Provide employees with wearable electrocardiogram recorders before they start work duties Two, physiological monitoring for business executors While executing business duties or training, employees wear wearable electrocardiogram recorders for fatigue warnings, signaling whether physiological conditions allow continued execution of tasks Task segments can use data transmission boxes or apps to upload physiological monitoring information to the health management platform, assessing the heart failure risk for operations staff, with test data serving as an indicator for enterprise resource human units and public safety Three, workplace physiological monitoring center care The workplace physiological monitoring center can inspect and record employees' historicalphysiological trends through the health cloud platform Four, workplace nursing units Nursing units receiving instructions from the physiological monitoring center can provide health management advice based on employees' physiological trends nursing centers can manage employee health through the health management backend Web Five, employees can wear health bracelets to monitor activity, fatigue, circulation, and sleep, autonomously managing their health and observing the risk of heart failure through the mobile APP, engaging in exercise and rehabilitation training to aid in rapid recovery Workplace application of heart failure cloud care and big data center diagram「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】優式AI智能割草機器人 搶攻高爾夫藍海市場
USRROBOT's AI Lawn Mowing Robot Enters the Blue Ocean of Golf Market

An AI smart lawn mowing robot, resembling a vacuum robot, shuttles back and forth on the 30-hectare golf course lawn for weeding This robot, independently developed and designed by Taiwanese, is equipped with the world's first electronic fencing positioning technology which utilizes high-precision GPS integrated with cloud AI computation to determine the most efficient mowing paths, targeting the lucrative blue ocean market of golf courses This AI lawn mowing robot was developed by USRROBOT, a Taiwanese startup established in 2019 Chao-Cheng Chen, the president of USRROBOT, once served as the executive vice president of one of the top five ODM tech companies in Taiwan, and specializes in software and hardware integration When he served as the chairman of the Service Robot Alliance, he knew that the service robot industry was bound grow rapidly due to declining birth rates and the growingly severe labor shortage New demand - The horticulture market is large and the has rigid demand "To develop the core technology of service robots, we must find rigid demand Looking at European and American countries, there is a shortage of labor, but demand for horticulture has increased, and there has been a long-term shortage of 7-10 of horticultural workers" Under this strong "rigid demand," Chao-Cheng Chen established USRROBOT, and the company's first product is the AI lawn mowing robot In terms of overseas markets, the United States is the world's largest horticulture market, accounting for 30-40 of the global output value It is estimated that there are about 1 million horticulture workers, but they have been experiencing a labor shortage of 7-10 in recent years and have not been able to improve the situation The main reasons for labor shortage are Aging population and gardening is a labor-intensive job, so young people don't want to do it Unlike in Taiwan, European and American countries attach great importance to lawn maintenance and have expressly stipulated in the law that heavy fines will be imposed for failing to mow the lawn Therefore, the AI lawn mowing robot has considerable market development potential The introduction of AI multi-device collaborative mowing sensor technology is expected to reduce the burden of staff maintaining the golf course The AI lawn mowing robot developed by USRROBOT is currently in its second generation Domestic universities and well-known art museums are using the latest model M1, and it is also being used by some world-renowned high-tech companies and well-known universities in the United States The company is currently involved in negotiations for subsequent business cooperation USRROBOT stated that the professional RTK system currently used can reduce the original GPS positioning error from tens of meters to about 2 centimeters, allowing the robot to move accurately outdoors After setting the boundaries, it can be easily operated using the app New application - Implementation in golf courses solves the problem of labor aging and shortage Chao-Cheng Chen further explained that the National Land Surveying and Mapping Center is a RTK service provider RTK provides the error reference map of the positioning point USRROBOT can access the positioning error value of a specific position through 4G Internet access The AI algorithm of USRROBOT reduces the general 10-20 m error of GPS to 2 cm After positioning, USRROBOT then uses six-axis accelerator positioning, gyroscopes, and wheel differential sensing devices for software and hardware integration Only by matching the wheel's movement pattern and the terrain can accurate mowing path planning be achieved The AI lawn mowing robot, which is 62 cm wide, 84 cm long, 46 cm high, and weighs only 25 kg, can set the mowing boundaries in the cloud It can avoid pools and sand pits through settings, using AI algorithms to automatically calculate the optimal path It is able to mow approximately 150 ping of grass in one hour The battery can be used continuously for more than 6 hours The battery life is currently the highest in the world In addition to general gardening companies, with the assistance of the AI project team of the Industrial Development Bureau, Ministry of Economic Affairs, USRROBOT's AI lawn mowing robot has been applied to golf course lawn mowing A well-known golf course located in Taiping District, Taichung City currently has a staff of 5 people who are responsible for the lawn, planting maintenance, and other landscape maintenance of the entire 30-hectare course However, the average age of staff is as high as 55 years old, and the golf course has been unable to recruit new staff members for a long time In view of the aging staff and the shortage of manpower, the golf course hopes to mitigate the impact with AI technology, and is therefore using AI multi-device collaborative mowing sensor technology, in hopes of reducing the burden of staff maintaining the golf course New challenges - Expert systems are needed to overcome difficulties with different grass species "This AI lawn mowing robot has low noise, low pollution, low labor costs, and is waterproof and anti-theft In the lawn mowing process, it can identify and avoid obstacles through ultrasonic sensors while maintaining mowing quality, maintaining aesthetic and consistent grass length" Chao-Cheng Chen went on to say that the most important part about golf courses is that the grass pattern should be beautiful and free from diseases and pests Based on the site survey, golf courses are mainly divided into three major areas green, fairway and rough There is no problem using the current mowing robot to mow the rough area, and it can overcome slopes within 20 degreesThe short grass in the fairway area may only be two centimeters long, and the grass types are also different, so the cutterhead design needs to be modifiedAs for the grass in the green area, the grass must be mowed close to the ground and maintained in a consistent direction because it affects the putting speed Many factors will affect the green index, and this part requires more research and testing The AI lawn mowing robot can identify and avoid obstacles through ultrasonic sensors while maintaining mowing quality The AI smart lawn mowing robot has a built-in camera that can be used to detect the health condition of the lawn Chao-Cheng Chen said that in the future, an expert system will also be introduced for early determination of whether there are diseases, pests in the lawn or whether there is sufficient moisture, and provide lawn health data analysis to customers, so that they can take preventive and response measures sooner to reduce disaster losses Chao-Cheng Chen, who is also a good golfer himself, said that golf has developed well in Taiwan However, due to weather factors, such as rainy and humid climate and typhoons, Taiwan's golf courses have harder soil and more potholes compared with top tier golf courses overseas If AI lawn mowing robots are to be widely introduced into golf courses, there are still many difficulties that must be overcome However, Taiwan's difficult terrain creates a good testing ground Once Taiwan can overcome the many problems and successfully introduce the robot, it will be able to expand to overseas markets and seize new market opportunities in a blue ocean Chao-Cheng Chen, President of USRROBOT nbsp