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Drones like these allow military personnel to remotely conduct surveillance and occasional combat operations if the UAV has onboard weaponry, while minimizing the risks to their soldiers. Although UAVs were initially used for military applications, they have since expanded into various civilian sectors. When people hear the term UAV (Unmanned Aerial Vehicle), the first thing that comes to mind are the drones used by the military, such as the or the RQ-12 Wasp. MQ-1 Predator 1.Delivery One such use for drones is the use in delivery services. By using UAVs for deliveries, companies such as Amazon could save money on shipping costs, which would reduce costs for consumers, who would receive their packages more quickly and reliably. . In November 2016, Domino’s delivered an order of a Peri-Peri Chicken Pizza and a Chicken and Cranberry Pizza to a customer in Whangaparaoa, New Zealand. The first successful delivery with a UAV was a pizza delivery Delivery drones have also been used to such as blood products, vaccines, pharmaceuticals, and medical samples. Whereas ground vehicles may not be able to reach a remote destination due to difficult terrain, a UAV can make the delivery with ease. These drones have been credited with saving lives by , as well as personal protective equipment and COVID-19 tests during the pandemic in the United States, Israel, and Ghana. transport medicinal products delivering blood in Rwanda 2.Journalism In recent years, UAVs have provided journalists with a unique and cost-effective way to capture footage and images from hard-to-reach places. Using a drone, news reporters can cover important events from various angles that would be impossible for a hand-held camera to capture. Additionally, can be used to capture footage from dangerous or inaccessible locations, such as war zones or natural disasters. drones It’s important to note that the use of drones in these situations must comply with , as well as sports league, venue, and local law enforcement agency rules. Federal Aviation Administration (FAA) regulations 3.Search and Rescue Search and rescue operations are often tricky and unpredictable. Time is paramount, as the missing person is most likely trapped in a life-threatening situation. And depending on the location, the terrain can make things exponentially more difficult for the rescue team. Using UAVs, the rescue team can cover more ground faster than if they were using ground-based vehicles. These drones can also provide an aerial view of the area and carry various sensors to identify specific objects and heat signatures on the ground, providing much-needed situational awareness. in June 2017, two hikers were reported missing in Pike National Forest in Colorado. Search and rescue teams, comprising twenty-five volunteers, searched on foot, with ATVs, and with the aid of a K-9 team. But it was the team using a UAV that found the two hikers in an area spanning thousands of acres in just two hours. In one such case https://www.youtube.com/watch?v=Y1VPZ5jt5Xw&embedable=true 4.Disaster Response By utilizing drones in disaster relief efforts, dangerous situations can be assessed quickly without placing risks on personnel. For example, During the Fukushima Daiichi nuclear disaster in 2011, without risking the lives of the relief workers. They have also proven excellent first responders since they can be deployed fast and easily compared to manned aerial vehicles. drones were used to survey the extent of the disaster As previously mentioned, drones are excellent at providing an aerial view of the area and can be equipped with infrared (IR) cameras to detect heat signatures. This is vital not only in search and rescue operations but also in surveying unstable areas. When dealing with the aftermath of an earthquake, a partially damaged building or a civic structure requires a thorough inspection before it can be deemed safe for humans to go there. Drones with sensors like IR cameras can survey these sites easily and safely. 5.Firefighting UAVs can also be a massive asset to the men and women who risk their lives fighting fires. They can be immensely useful in providing situational awareness about the fire and its surroundings. By using drones equipped with thermal cameras, firefighters can determine the extent of the fire and identify its source, which can greatly aid them in bringing the situation under control and conducting search and rescue operations. UAVs have also been used as effective tools in monitoring and suppressing wildfires. By using real-time data, firefighters can determine where a fire will move next, allowing them to make a plan for movement and evacuation quickly. In addition to providing important tactical data, UAVs are more maneuverable than helicopters or planes. 6.Agriculture Some of the more common agricultural applications for UAVs include pest control, plant health monitoring, livestock management, soil analysis, and aerial survey. Farmers must maintain constant vigilance, as their crops are susceptible to disease, fungus, and bugs. They also need to be aware of the carbon levels and nitrates in the soil, which can impact a plant’s productivity. Traditionally, farmers must monitor these factors by conducting visual inspections and sending soil samples to a laboratory. By using UAVs, however, these factors can be measured in real-time by utilizing a combination of RGB cameras, thermal imaging, and multi-spectral imaging. The Future of UAVs In this day and age, where technology is rapidly evolving to meet new demands, UAVs could fulfill a number of roles in current and future job sectors. Additionally, many people operate drones for various hobbies, such as photography and drone racing. However, no matter how UAVs get used, operators must ensure that they comply with any rules regarding drone operation in their country. For instance, drone operators in the United States need to obtain a from the FAA before flying a UAV. Remote Pilot Certificate What do you think about these use cases? Do you own a drone yourself? Let me know what you think in the comments below!

6 Important Use Cases for UAVs (Unmanned Aerial Vehicles)

6 usos comunes de los UAV (vehículos aéreos no tripulados)

6 utilisations courantes des UAV (véhicules aériens sans pilote)

यूएवी (मानवरहित हवाई वाहन) के लिए 6 सामान्य उपयोग

UAV (無人航空機) の 6 つの一般的な用途

6 Usos Comuns para UAVs (Veículos Aéreos Não Tripulados)

6 Cách sử dụng phổ biến cho UAV (Máy bay không người lái)

UAV（无人驾驶飞行器）的 6 种常见用途

Infrastructure drift, unmanaged resources, ghost assets, these are all well-known “silent killers” in our clouds.  Whether AWS, GCP, Kubernetes, Azure or anything else, when deploying our services to multiple clouds, we know that a unified inventory and management of our cloud resources is complicated, and there are many great tools out there that are looking to help solve this growing complexity. ‍ One thing that is often overlooked though is where our SaaS tooling comes into the mix.  When we adopt SaaS tools, we tend to see them as just that–tools, and not what they eventually actually are: additional siloed, unmanaged clouds with their own proprietary inventory of services, objects and resources. ‍ A phenomenon we have encountered often, when helping companies overcome drift, is a common neglect of cloud infrastructure tooling, such as CloudFlare, Okta, Mongo Atlas, Datadog, Git and many other popular SaaS platforms and tools that are part of our core operations.  How can we make these SaaS clouds immutable, versioned, scalable and monitored if these extensions aren't codified?  Is state drift in Okta less troubling than drift in your IAM roles, for example? How can we guarantee proper monitoring if our Datadog dashboards make it possible for anyone to cause drifts? ‍ These are just some of the questions that come to mind when we see this recurring anti-pattern in cloud operations today. But you may ask, why does this matter? ‍ If a growing understanding is dawning on DevOps engineers that it is much safer and less error prone to codify cloud resources, including the inherent benefits of managing these resources like all other code––whether the git history, peer reviews, PR automation and policy enforcement, it seems that SaaS service have not yet undergone a similar evolution and epiphany.  If clickops for cloud configuration has mostly been abandoned for IaC practices, SaaS tooling is predominantly still configured manually via the UI with minimal codification. Not surprisingly this leads to many similar problems you’d find in your cloud operations. Putting the Git in GitOps When it comes to Kubernetes and cloud native systems, that are so commonly associated with GitOps practices, which is considered the best practice and modern way for managing complex Kubernetes operations––the git part of gitops is all but neglected when it comes to managing these systems.  I’ll explain. ‍ If we look at the top downloaded Terraform providers for SaaS applications that are not clouds, the list and data is extremely compelling: ‍ DataDog/datadog 32.4M+ integrations/github 16.9M+ cloudflare/cloudflare 16.8M+ newrelic/newrelic 12.5M+ hashicorp/consul 9.7M+ PagerDuty/pagerduty 8.6M+ grafana/grafana 5.4M+ gitlabhq/gitlab 4.8M+ mongodb/mongodbatlas 4.2M+ okta/okta 4M+ elastic/ec 3.2M+ ‍ While there is an increasing trend towards codifying these resources through Terraform providers, if we take the number of downloads of the AWS Terraform provider or the next most popular cloud Azure, these are 750M+ and 127M+ respectively, placing the next most popular non-cloud provider at about 5% adoption (and ultimately codification). ‍ This is because not only would this codification need to be done for each SaaS tool individually, once these tools are configured through clickops, just translating this to IaC is an extremely complex undertaking (particularly in large organizations with multiple dashboards, clouds, services and other dependencies and resources). ‍ If we come back to thinking about how we convert our git operations to be GitOps native, we’d likely need to follow a post similar to this one that walks you through the process of .  And this is just one tool of many in a huge stack of SaaS tooling that would need to undergo a similar transformation, this is another example of a post that walks you through a .  And the list goes on.  Now imagine having 10s of tools, in large organizations––multiple teams and clouds.  The task is daunting just to think about.  Until now. managing your Github organization with Terraform similar transition for Datadog Codifying Your SaaS When thinking about the critical aspects of codifying your SaaS, there are a few angles it was important for Firefly to focus on to make this transition truly valuable for all DevOps teams.  The first layer of value is in the unified inventory of both cloud assets and SaaS assets in a single place. Just this alone enables DevOps teams to search, understand, and classify assets across all clouds––the operational ones or the tooling clouds.  Something that wasn’t possible before from a single dashboard or tool. ‍ The next aspect is actually getting all of these tools and assets managed as code.  If this has become the cloud standard, it’s not clear why this hasn’t happened for SaaS apps too.  We’ve spoken about the benefits of managing everything as code, but eventually once managed as code with the relevant guidelines and internal engineering practices applied, these can then be automated as part of CI/CD processes and the relevant gating & guardrails applied here too. ‍ Doing so manually would require engineers to translate all of their manual configurations (that are not always found in a single place in the UI, across the many layers of their application) into the relevant code configurations, and usually many times over if there are multiple applications, dashboards or tools.  This is now possible at the click of a single button, for all SaaS tools, in one place. ‍ If we take a look at a typical Firefly dashboard, we can see that typical SaaS tools have as low as 20%+ of codified resources, vs. 50% in cloud service providers. ‍ The companies that have flipped this number and codified these resources, were able to enjoy the IaC advantages of faster deployment cycles and standby configuration templates for disaster recovery scenarios. We hope you found this useful - feel free to drop any questions you may have in the comments. ‍

Codify your SaaS Apps: The Answer to the Unmanaged SaaS Jungle

Alibaba’s the Tmall Future Store shows how technology can help offline merchants thrive in the e-commerce age If you’ve ever waited in line impatiently to pay for groceries, chances are you’ve wished you could escape the typical service experience we all tend to encounter as shoppers. While delivery and e-commerce services offer one alternative for people hoping to avoid the hassle, a more recent effort at Alibaba is making it likely that you’ll soon be shopping in stores that let you walk in, grab what you need, and pay automatically as you walk out, simplifying retail for shoppers and merchants alike. To showcase its progress, Alibaba recently unveiled an experimental 80-square meter installation of its new Tmall Future Store at the 2018 Yunqi Computing Conference, inviting attendees to explore a convenience store without a single employee on staff. Inside, they were able to browse for food, snacks, and beverages while getting help as needed from a digital T-guide assistant, then settle their bills by simply exiting the premises. Visitors line up outside Alibaba’s Tmall Future Store at the 2018 Yunqi Computing Conference To further highlight this new mode of shopping, senior technical expert Shi Wei of Alibaba’s Taobao Technology Department addressed the conference with a speech covering where the emerging field of new retail has been so far and where it is going next. Inside, we look at highlights of his speech and explore the technology that is helping make unmanned retail a crucial part of that evolution today. From New Retail to Unmanned Retail While Tmall’s unmanned Future Store presents an entirely new paradigm for shopping, it is only one part of a broader movement to upgrade offline shopping through new technologies, business models, and channels, known together as ‘new retail’. At the most basic level, new retail ranges from vending machines that accept mobile payments to the cheap, open-shelved mini shops many workplaces now offer thanks to digitalized business models that expedite stocking and reduce overhead. On a larger scale, it also encompasses supermarkets like Alibaba’s Hema that combine features of online and offline commerce, as well as cooperative ventures with independent retailers like Starbucks. At the heart of new retail is data, and ways it can be used to reduce pain points for consumers and merchants alike in traditional retail settings. Market analysis indicates that early efforts to remove human workers from retail have been met with mixed reactions from consumers. Nevertheless, the output value for such ventures in China is predicted to rise from RMB 20 billion in 2017 to RMB 65 billion in 2020, driven mainly by rising labor costs, offline operating costs, and consumer demand. With technology now able to support the truly futuristic experience the Tmall Future Store captures, unmanned retail can focus on giving consumers a whole new way to shop, rather than simply upgrading existing options. According to an iResearch study of the Chinese market, 8.5 percent of the country’s consumers prefer to make purchases from human cashiers, while 23.7 percent prefer to scan a code as they leave the store. Beyond this, 29.8 percent prefer to pick up goods from a smart settlement basket that they retrieve at the exit, while an overwhelming 39 percent would prefer to simply walk out with their groceries in a form of automatic settlement. Having cleared the initial hurdle of cultivating demand for experiences like the Tmall Future Store, Alibaba has since been able to focus on the ways its new model can enhance business for its partners, as well as the efficiency of labor in the broader marketplace. In one instance, moving the group’s Alicool souvenir shop to a completely automated framework increased annual turnover by 75 percent and sales volume by 20 percent, attracting 56 percent more consumers than during the previous year. At just 120 square meters, the store is now able to handle as many as 2,300 visitors per day, largely owing to the average 4.5 seconds it takes shoppers to complete automatic settlement when exiting. In another example, Alibaba collaboratively renovated the Zhida Bookstore in Shanghai to enable automatic facial recognition-based settlement, greatly increasing the store’s daily turnover. Notably, Alibaba was able to apply findings from previous efforts to complete the installation of the new facilities in just 53 days, raising the store’s daily turnover by 78.3 percent. A Look Inside the Tmall Future Store With the Tmall Future Store, Alibaba has entered a phase it calls ‘unmanned retail 2.0’, significantly expanding on the capabilities Alicool and the Zhida Bookstore demonstrate. As well as a technical upgrade, the new phase involves a shift of emphasis from impressing customers to attracting existing merchants to the concept. Technically, the key advance captured in the Tmall Future Store is computer vision. Upon first entering the shop, customers scan a code with their phones to establish their virtual presence there. Once they have done so, a series of roughly 100 screens will respond as they move through the store, making personalized recommendations and providing directions to help locate items. At shelves, the system uses gravity sensors and built-in cameras to identify and add goods to customers’ virtual shopping carts. This enables customers to simply leave when ready, as the system will automatically collect payment for any items which have not been returned as they exit. To document these transactions, the system generates a virtual bill which appears in customers’ Alipay or Mobile Taobao accounts, and the items in the virtual bill will also include links for repurchasing if they are available online. A view of customer guidance systems inside the Tmall Future Store As a whole, this user experience traces the interaction of three core systemic capabilities: global tracking, product identification, and user-item matching. The last of these is by far the most critical, as any confusion that results in a payment being deducted from the wrong customer can invalidate the idea that automation can replace human services. In an example of how this can happen, visitors to the store at the conference occasionally crossed arms reaching for items, swapped items, or offered to help each other return items, challenging the algorithm to sort out conflicting digital impressions. The best solution to such problems is prevention through the effective digitalization of offline behavior, presenting an ongoing challenge for developers as they seek to make these novel capabilities fully marketable. Continuing Development for the Future In its present state, the Tmall Future Store introduces a coherent “6+1” technical architecture, in which five processing ends and a local gateway interact together with a coherent set of business priorities — namely transaction, processing, operating, and data storage in the cloud. While anyone hoping to open a store could work from this architecture, preparing it for widespread marketing still requires the targeted improvement of algorithm capabilities, reduction of hardware costs, and reduction of deployment costs. An overview of Alibaba’s most recent architecture for unmanned retail environments, now undergoing further development One current example of an algorithmic limitation is the need for customers to cooperate with sensors by standing still while selecting items or completing settlement. Ideally, scanners should be equipped to handle some amount of motion or other variations, presenting a complex deep learning problem for optimization. Further, the system’s facial recognition component uses an initial scan image of each customer as a “one-off” point of reference. As even human observers may struggle to tell whether two images from different angles show the same person’s face, refining the recognition algorithm poses formidable challenges. Another outstanding challenge is to make algorithms more adaptable across environments, as each new unmanned store requires deploying and training the model to work within its specific dimensions and conditions. The key to doing so is separating the tuning of specific parameters from the model, which can be done using information gathered through the repeated deployment of its environmental sensors in different environments. In terms of market entry barriers, hardware costs remain preventive, not because they must be high but because the processing challenges developers currently face place heavy demands on equipment. Moreover, transforming a traditional brick-and-mortar shop into an unmanned store takes up a great deal of time, as engineers need to work on a by-case basis to update devices and systems one by one. To reduce costs, Alibaba is working to narrow down the functionality of devices. Because the cost of increasing computing power is not linear, boosting central server power to cover more end functions is not viable in the age of edge computing. To counter this, cameras and screens deployed in unmanned stores will need upgrades to their own computing power. Another cost reduction approach in the works is device standardization. By making all devices replaceable, repairable, and consistent, developers hope deployment and maintenance processes can be streamlined and standard procedures enabled. This would allow for a robotic approach to off-hours maintenance and inspection for both hardware and AI. With the ultimate goal of establishing a device management system, developers are seeking applications for an Alibaba Cloud product called Linkedge, which can be used to develop a hot-swappable HAL layer for the framework that uploads and downloads device information for monitoring. In effect, this means the system will be remotely upgradable, deployable across different devices, and primed for the addition of new functions — in short, perfectly suited to the mobile era. Looking Ahead To summarize the importance of the Tmall Future Store, Alibaba’s Shi Wei described it as an offline Taobao designed to be as interactive as the mobile phones that shoppers carry in with them. Like the first wave of online commerce that Taobao emerged with, it is offering new ways to study people’s habits and preferences as shoppers, making stores both a laboratory for understanding economic activity and a setting for putting that knowledge to use. Some of the many ways data from unmanned retail stores can help merchants thrive With the rise of e-commerce, many have voiced fears that platforms like Taobao will eventually make offline retail obsolete. With its Tmall Future Store, Alibaba is showing how the technology enabling it might instead be used to improve business for offline merchants, helping them to make smarter choices and better returns on investment. As a first step in unmanned retail, its completion should provide a valuable foundation for developments to come. Alibaba Tech First hand and in-depth information about Alibaba’s latest technology → Facebook: . Twitter: . “Alibaba Tech” “AlibabaTech”

New Meaning to Grab and Go: Alibaba Unveils its Unmanned Store

In mid-April 2024, China’s CPC Central Committee and the Central Military Commission (CMC) unveiled the rebranding of its People’s Liberation Army - Information Support Force (PLA-ISF). The PLA-ISF is China’s latest step to modernize its military-specific to information warfare and other emerging technologies in a multi-domain operational concept. The creation of the PLA-ISF is cause for concern because it suggests increased CCP control over all AI activities within China, while also highlighting the potentiality of China to execute long-term military campaigns leveraging AI technologies. Additionally, the increase in Chinese gray-zone activities serves to underscore this notion, with the effects of social media manipulation, infrastructure, and cybersecurity attacks being significantly amplified if coupled with AI. Restructuring the PLA-ISF The now-dissolved PLA-Strategic Support Force (PLA-SSF) was originally formed in December 2015 with the intent to develop China’s space capabilities. However, during its 8-year tenure, the PLA-SSF eventually acted as a centralization and consolidation point for all information networks and support operations for the entire PLA. The PLA-SSF’s two main departments were the Network Systems Department and the Space Systems Department, which operated with significant autonomy compared to other PLA units. Previously, each PLA service branch had its own information network and support units. The PLA-ISF has resulted in the creation of an Aerospace Force, a Cyberspace Force, and an Information Support Force, with these three arms operating in conjunction with the Joint Logistics Support Force (JLSF), which itself was established back in 2016 to improve Chinese military logistical operations. This reorganization, along with the increased rank needed for a Force to be run instead of a Department, highlights a strategic realignment within the PLA, showcasing the emphasis the CCP is placing on these “new” Forces as part of its modernized warfare capabilities. PLA Applications of Artificial Intelligence The PLA has long been pursuing AI-enabled systems and capabilities as part of its military modernization in alignment with its national military-civil fusion (MCF) strategy, with these capabilities extending from traditional military functions to more modernized digital warfare. PLA units have had a long focus on developing robotics and other unmanned systems specifically for military applications, chief among them the Caihong 4 (CH-4). Developed by the China Academy of Aerospace Aerodynamics, which itself is a subsidiary of the China Aerospace Science and Technology Corporation. The CH-4 is nearly identical to General Atomics MQ-9 Reaper, with sales to the Congo in 2023, Indonesia in 2019, and a multitude of other countries. Other examples of AI being used in Chinese military applications include the Shanyi 5 unmanned ground vehicle (UGV) and the even smaller UBot-SCU B 10 UGV. Additionally, the PLA could leverage AI for military decision-making, missile guidance, and electronic warfare. On the modern warfare front, AI could be used to assist gray-zone activities conducted by state-sponsored actors. Future state uses of AI could include generative AI for social media manipulation and the use of AI as part of a threat attack (ex: bot attack, Distributed Denial of service (DDos), etc.). Some notable past examples of previous gray-zone activities include the May 2023 Microsoft disclosure of activity attributed to hacker group Volt Typhoon, which targeted critical cyber infrastructure in internet-connected systems, as well as the May 2014 indictment of five Chinese military hackers belonging to Unit 61398 for computer hacking, economic espionage, and more. The addition of AI to these efforts, whether explicitly or implicitly backed by the PLA, should raise significant alarm. CCP Emphasis on Artificial Intelligence In March 2023, Chinese Communist Party (CCP) General Secretary Xi Jinping Xi called on the PLA to “raise the presence of combat forces in new domains and of new qualities.” to help ensure China’s national strategy of MCF to enable the PRC to become the most technically advanced military in the world. This built upon statements Xi made in October 2017 at the 19th CPC National Congress, where he highlighted the importance of AI and innovation while advancing China’s military. This is particularly concerning given the prolific nature of Chinese research into artificial intelligence, with Chinese researchers publishing 155,487 AI papers in 2022, followed by EU researchers with 101,455 publications, and U.S. researchers with 81,130. The Chinese accounted for nearly 40% of global AI publications in 2021. Additionally, the PRC’s mixture of both licit and illicit means to obtaining knowledge around AI, whether through investment in private industries and research collaborations or through forced technology transfer and outright theft, highlights why a new consolidated military command focusing on network operations and emerging technologies is quite concerning. Conclusion While the formation of the PLA-ISF may seem like a simple rebrand to some, the newly established PLA-ISF implies significant changes to the way China approaches emerging technologies and intelligent warfare. The elevation of the PLA-ISF and its associated leadership as an entity, along with the formation of the Aerospace Force, Cyberspace Force, and Information Support Force, demonstrate the military commitment that the PLA is undertaking to better ensure the integration of emerging technologies within the PLA. The increased rise of grey-zone activities as part of modern warfare demonstrates the immense negative potential that AI can have if leveraged inappropriately and without proper safeguards. With CCP ethics already being questionable to begin with, the world can only imagine what true AI integration as part of China’s national military-civil fusion strategy will have on the rest of the world, particularly in light of the creation of the PLA-ISF. In mid-April 2024 , China’s CPC Central Committee and the Central Military Commission (CMC) unveiled the rebranding of its People’s Liberation Army - Information Support Force (PLA-ISF). The PLA-ISF is China’s latest step to modernize its military-specific to information warfare and other emerging technologies in a multi-domain operational concept. mid-April 2024 mid-April 2024 The creation of the PLA-ISF is cause for concern because it suggests increased CCP control over all AI activities within China, while also highlighting the potentiality of China to execute long-term military campaigns leveraging AI technologies. Additionally, the increase in Chinese gray-zone activities serves to underscore this notion, with the effects of social media manipulation, infrastructure, and cybersecurity attacks being significantly amplified if coupled with AI. Restructuring the PLA-ISF Restructuring the PLA-ISF The now-dissolved PLA-Strategic Support Force (PLA-SSF) was originally formed in December 2015 with the intent to develop China’s space capabilities . However, during its 8-year tenure, the PLA-SSF eventually acted as a centralization and consolidation poin t for all information networks and support operations for the entire PLA. China’s space capabilities China’s space capabilities centralization and consolidation poin The PLA-SSF’s two main departments were the Network Systems Department and the Space Systems Department, which operated with significant autonomy compared to other PLA units. Previously, each PLA service branch had its own information network and support units. The PLA-ISF has resulted in the creation of an Aerospace Force, a Cyberspace Force, and an Information Support Force, with these three arms operating in conjunction with the Joint Logistics Support Force (JLSF), which itself was established back in 2016 to improve Chinese military logistical operations. conjunction conjunction This reorganization, along with the increased rank needed for a Force to be run instead of a Department, highlights a strategic realignment within the PLA, showcasing the emphasis the CCP is placing on these “new” Forces as part of its modernized warfare capabilities. PLA Applications of Artificial Intelligence PLA Applications of Artificial Intelligence The PLA has long been pursuing AI-enabled systems and capabilities as part of its military modernization in alignment with its national military-civil fusion (MCF) strategy, with these capabilities extending from traditional military functions to more modernized digital warfare. PLA units have had a long focus on developing robotics and other unmanned systems specifically for military applications, chief among them the Caihong 4 (CH-4). Developed by the China Academy of Aerospace Aerodynamics, which itself is a subsidiary of the China Aerospace Science and Technology Corporation. The CH-4 is nearly identical to General Atomics MQ-9 Reaper, with sales to the Congo in 2023 , Indonesia in 2019 , and a multitude of other countries . Developed Developed nearly identical nearly identical 2023 2023 2019 2019 countries countries Other examples of AI being used in Chinese military applications include the Shanyi 5 unmanned ground vehicle (UGV) and the even smaller UBot-SCU B 10 UGV . Additionally, the PLA could leverage AI for military decision-making , missile guidance , and electronic warfare . Shanyi 5 unmanned ground vehicle Shanyi 5 unmanned ground vehicle UBot-SCU B 10 UGV UBot-SCU B 10 UGV military decision-making military decision-making missile guidance missile guidance electronic warfare electronic warfare On the modern warfare front, AI could be used to assist gray-zone activities conducted by state-sponsored actors. Future state uses of AI could include generative A I for social media manipulation and the use of AI as part of a threat attack (ex: bot attack, Distributed Denial of service (DDos), etc.). generative A AI AI Some notable past examples of previous gray-zone activities include the May 2023 Microsoft disclosure of activity attributed to hacker group Volt Typhoon, which targeted critical cyber infrastructure in internet-connected systems, as well as the May 2014 indictment of five Chinese military hackers belonging to Unit 61398 for computer hacking, economic espionage, and more. May 2023 May 2023 May 2014 May 2014 The addition of AI to these efforts, whether explicitly or implicitly backed by the PLA, should raise significant alarm. CCP Emphasis on Artificial Intelligence CCP Emphasis on Artificial Intelligence In March 2023 , Chinese Communist Party (CCP) General Secretary Xi Jinping Xi called on the PLA to “raise the presence of combat forces in new domains and of new qualities.” to help ensure China’s national strategy of MCF to enable the PRC to become the most technically advanced military in the world. March 2023 March 2023 This built upon statements Xi made in October 2017 at the 19th CPC National Congress, where he highlighted the importance of AI and innovation while advancing China’s military. October 2017 October 2017 This is particularly concerning given the prolific nature of Chinese research into artificial intelligence, with Chinese researchers publishing 155,487 AI papers in 2022 , followed by EU researchers with 101,455 publications, and U.S. researchers with 81,130. The Chinese accounted for nearly 40% of global AI publications in 2021. 2022 2022 Additionally, the PRC’s mixture of both licit and illicit means to obtaining knowledge around AI, whether through investment in private industries and research collaborations or through forced technology transfer and outright theft , highlights why a new consolidated military command focusing on network operations and emerging technologies is quite concerning. investment in private industries investment in private industries outright theft outright theft Conclusion Conclusion While the formation of the PLA-ISF may seem like a simple rebrand to some, the newly established PLA-ISF implies significant changes to the way China approaches emerging technologies and intelligent warfare. The elevation of the PLA-ISF and its associated leadership as an entity, along with the formation of the Aerospace Force, Cyberspace Force, and Information Support Force, demonstrate the military commitment that the PLA is undertaking to better ensure the integration of emerging technologies within the PLA. The increased rise of grey-zone activities as part of modern warfare demonstrates the immense negative potential that AI can have if leveraged inappropriately and without proper safeguards. With CCP ethics already being questionable to begin with, the world can only imagine what true AI integration as part of China’s national military-civil fusion strategy will have on the rest of the world, particularly in light of the creation of the PLA-ISF.

Unveiling the PLA-ISF and China's AI Ambitions

PLA-ISF এবং চীনের AI উচ্চাকাঙ্ক্ষা উন্মোচন করা

Enthüllung der PLA-ISF und Chinas KI-Ambitionen

Revelando el PLA-ISF y las ambiciones de IA de China

Dévoilement du PLA-ISF et des ambitions de la Chine en matière d'IA

पीएलए-आईएसएफ और चीन की एआई महत्वाकांक्षाओं का खुलासा

中国人民解放軍特殊部隊と中国のAIへの野望を明らかにする

PLA-ISF와 중국의 AI 야망 공개

Revelando o PLA-ISF e as ambições de IA da China

Раскрытие НОАК-ИСБ и амбиций Китая в области искусственного интеллекта

PLA-ISF ve Çin'in Yapay Zeka Hedeflerini Açıklıyoruz

Tiết lộ PLA-ISF và tham vọng AI của Trung Quốc

揭秘解放军国际安全部队和中国的人工智能雄心

Compromised devices/machines are a new threat to organizations, especially small businesses. Challenges such as Fast-paced digital transformation, Cloud adoption, and the Internet of Things add fire to the already burning pyre of managing the massive volume of machine identities. But this is not all. While the security teams at larger enterprises are fighting demons like ransomware, malware, phishing, and other cybersecurity attacks, small businesses face the significant brunt of poorly managed machine identities. But… 🙋What are machine identities, and how are they different from human identities? 🙋Why is managing machine identities crucial for small businesses? 🙋What are the challenges faced by Small Businesses while managing machine identities? These are a few of the questions I will try to answer through my blog on Managing Machine Identities in SMBs. Sit tight, and keep reading. Machine Identity: The Meaning and The Definition Machine identity is the unique digital identity assigned to applications, services, and devices within a networked environment. These identities help machines to ✅ Connect and communicate with each other in a secure environment. ✅ Authenticate themselves to other systems in the network. Each machine identity comprises cryptographic keys, certificates, or the like of credentials that build trust and enable secure communications in digital space. There are two entities in a networked environment: humans and machines. While much investment is made to protect and manage human identities, scant efforts are made to protect and secure interconnected machines. Result: The imbalance is a significant concern. Reason: The number of machines has steadily increased, outpacing the growth of their human counterparts. This implies that there are more machines connected with each other with scant security efforts in place than humans connected to machines. To protect these machines from being compromised, they need identities that can keep their connections and communications safe. Importance of Machine Identity Management Machine Identity Management plays a crucial role in ensuring your business's security, integrity, and efficiency. With proper identities in place, you can authenticate and authorize machine-to-machine communication. When you are regularly managing the identities of your machines, you can prevent 📌 Unauthorized access 📌 Data breaches 📌 Other security threats, such as malware, ransomware attacks But that’s not all. With machine identity management, you can facilitate the smooth integration of various services and systems. Result: Optimized overall operational performance. But how is this relevant to your small business? Relevance for Small Businesses With limited resources, small businesses face unique challenges in maintaining robust security measures. Despite the size of your business, you still rely on interconnected networks, systems, and applications to conduct your everyday operations efficiently. So, how will managing machine identity help your small business? Managing your machine identities can help you in numerous ways; here are a few prominent ones. Machine Identity Management helps small businesses to 📍Secure their digital assets 📍Safeguard sensitive data 📍Mitigate risks associated with cyber threats With effective machine identity practices, small business owners can ✅ Improve their overall security posture ✅ Support the growth of their business ✅ Scale their small business But what exactly is machine identity? Understanding Machine Identity Unique cryptographic identifiers used to authenticate and secure communication between machines are called machine identities. These identities are allotted to machines in a networked environment, such as servers, devices, and applications. Managing machine identities is crucial for small business owners to protect against cyber threats and maintain their operational integrity in contemporary IT infrastructures. What Constitutes Machine Identity? Machine identity encompasses various components that establish the digital identity of devices, applications, and services within an IT ecosystem. These include 📍Digital Certificates 📍API Keys 📍SSH (Secure Shell) Keys 📍Device Identifiers Why Is Machine Identity Important For Your Small Business Machine identities are crucial for a secure business environment and serve important functions in the contemporary IT infrastructure. 📌 Authentication: Machine identities help business owners verify the identity of devices, applications, and services, ensuring only trusted entities can access resources and systems. 📌Encryption: Machine identities, especially SSL/TLS certificates, enable encryption of data transmitted over networks, safeguarding it from unauthorized interception and ensuring confidentiality. 📌 Access Control: They have a crucial role in access control by regulating permissions based on machines' identities and roles. This helps prevent unauthorized access and actions within IT environments. 📌Understanding and effectively managing machine identities is essential for maintaining IT operations' security, integrity, and efficiency, especially for small businesses with limited resources and specialized needs. Machine Identity Management Challenges for Small Businesses Unmanaged or improperly machine identities can pose serious challenges to small businesses. Some of the challenges your business can face while managing machine identities. Lack of Awareness and Resources Small businesses often face challenges due to limited awareness of available resources and best practices. This can encompass various aspects: 📍 Technology: Small businesses might not be aware of the latest technologies and tools that can help them streamline their operations and improve security. 📍 Financial: Limited budgets can restrict access to necessary resources such as advanced cybersecurity solutions or professional consulting services. 📍 Training and Education: Owners and employees might lack awareness of cybersecurity risks and protocols, leading to vulnerabilities like phishing attacks or weak password practices. Risks Associated with Unmanaged Machine Identities Machine identities refer to digital certificates and cryptographic keys used to authenticate machines in networks. The risks associated with unmanaged machine identities include: 📍Misconfigured or compromised machine identities can lead to unauthorized access to sensitive data or systems. 📍Improperly managed machine identities can result in compliance failures with industry regulations and standards. 📍Unmanaged machine identities can lead to operational disruptions and downtime. Compliance and Regulatory Concerns While compliance with regulations and standards is crucial for your small business, machine identity management can make it challenging due 📍Various regulatory requirements such as GDPR, HIPAA, and PCI DSS can be complex to understand and adhere to, especially for you as a small business owner. 📍Shortage of dedicated resources to meet compliance requirements is another challenge for small business owners. Hiring a dedicated resource can put a strain on your small business budgets. 📍Non-compliance can result in significant penalties or legal consequences. This is quite a detrimental situation for small businesses with limited financial resilience. Small businesses can address these challenges with strategic resource allocation and leveraging technology solutions tailored to their needs. Compromised devices/machines are a new threat to organizations, especially small businesses. Challenges such as Fast-paced digital transformation, Cloud adoption, and the Internet of Things add fire to the already burning pyre of managing the massive volume of machine identities. But this is not all. While the security teams at larger enterprises are fighting demons like ransomware, malware, phishing, and other cybersecurity attacks, small businesses face the significant brunt of poorly managed machine identities. But… 🙋What are machine identities, and how are they different from human identities? 🙋Why is managing machine identities crucial for small businesses? 🙋What are the challenges faced by Small Businesses while managing machine identities? These are a few of the questions I will try to answer through my blog on Managing Machine Identities in SMBs. Sit tight, and keep reading. Machine Identity: The Meaning and The Definition Machine identity is the unique digital identity assigned to applications, services, and devices within a networked environment. These identities help machines to ✅ Connect and communicate with each other in a secure environment. ✅ Authenticate themselves to other systems in the network. Each machine identity comprises cryptographic keys, certificates, or the like of credentials that build trust and enable secure communications in digital space. There are two entities in a networked environment: humans and machines. While much investment is made to protect and manage human identities, scant efforts are made to protect and secure interconnected machines. Result: The imbalance is a significant concern. Result: Reason: The number of machines has steadily increased, outpacing the growth of their human counterparts. Reason: This implies that there are more machines connected with each other with scant security efforts in place than humans connected to machines. To protect these machines from being compromised, they need identities that can keep their connections and communications safe. Importance of Machine Identity Management Machine Identity Management plays a crucial role in ensuring your business's security, integrity, and efficiency. With proper identities in place, you can authenticate and authorize machine-to-machine communication. When you are regularly managing the identities of your machines, you can prevent 📌 Unauthorized access 📌 Data breaches 📌 Other security threats, such as malware, ransomware attacks But that’s not all. With machine identity management, you can facilitate the smooth integration of various services and systems. Result: Optimized overall operational performance. But how is this relevant to your small business? Relevance for Small Businesses With limited resources, small businesses face unique challenges in maintaining robust security measures. Despite the size of your business, you still rely on interconnected networks, systems, and applications to conduct your everyday operations efficiently. So, how will managing machine identity help your small business? Managing your machine identities can help you in numerous ways; here are a few prominent ones. Machine Identity Management helps small businesses to 📍Secure their digital assets 📍Safeguard sensitive data 📍Mitigate risks associated with cyber threats With effective machine identity practices, small business owners can ✅ Improve their overall security posture ✅ Support the growth of their business ✅ Scale their small business But what exactly is machine identity? Understanding Machine Identity Unique cryptographic identifiers used to authenticate and secure communication between machines are called machine identities. These identities are allotted to machines in a networked environment, such as servers, devices, and applications. Managing machine identities is crucial for small business owners to protect against cyber threats and maintain their operational integrity in contemporary IT infrastructures. What Constitutes Machine Identity? Machine identity encompasses various components that establish the digital identity of devices, applications, and services within an IT ecosystem. These include 📍Digital Certificates 📍API Keys 📍SSH (Secure Shell) Keys 📍Device Identifiers Why Is Machine Identity Important For Your Small Business Machine identities are crucial for a secure business environment and serve important functions in the contemporary IT infrastructure. 📌 Authentication: Machine identities help business owners verify the identity of devices, applications, and services, ensuring only trusted entities can access resources and systems. 📌Encryption: Machine identities, especially SSL/TLS certificates, enable encryption of data transmitted over networks, safeguarding it from unauthorized interception and ensuring confidentiality. 📌 Access Control: They have a crucial role in access control by regulating permissions based on machines' identities and roles. This helps prevent unauthorized access and actions within IT environments. 📌Understanding and effectively managing machine identities is essential for maintaining IT operations' security, integrity, and efficiency, especially for small businesses with limited resources and specialized needs. Machine Identity Management Challenges for Small Businesses Unmanaged or improperly machine identities can pose serious challenges to small businesses. Some of the challenges your business can face while managing machine identities. Lack of Awareness and Resources Small businesses often face challenges due to limited awareness of available resources and best practices. This can encompass various aspects: 📍 Technology: Small businesses might not be aware of the latest technologies and tools that can help them streamline their operations and improve security. 📍 Financial: Limited budgets can restrict access to necessary resources such as advanced cybersecurity solutions or professional consulting services. 📍 Training and Education: Owners and employees might lack awareness of cybersecurity risks and protocols, leading to vulnerabilities like phishing attacks or weak password practices. Risks Associated with Unmanaged Machine Identities Machine identities refer to digital certificates and cryptographic keys used to authenticate machines in networks. The risks associated with unmanaged machine identities include: 📍Misconfigured or compromised machine identities can lead to unauthorized access to sensitive data or systems. 📍Improperly managed machine identities can result in compliance failures with industry regulations and standards. 📍Unmanaged machine identities can lead to operational disruptions and downtime. Compliance and Regulatory Concerns While compliance with regulations and standards is crucial for your small business, machine identity management can make it challenging due 📍Various regulatory requirements such as GDPR, HIPAA, and PCI DSS can be complex to understand and adhere to, especially for you as a small business owner. 📍Shortage of dedicated resources to meet compliance requirements is another challenge for small business owners. Hiring a dedicated resource can put a strain on your small business budgets. 📍Non-compliance can result in significant penalties or legal consequences. This is quite a detrimental situation for small businesses with limited financial resilience. Small businesses can address these challenges with strategic resource allocation and leveraging technology solutions tailored to their needs.

Machine Identities in Small Businesses: The Key to Security and Efficiency

**TEL AVIV, Israel, May 2nd, 2024/CyberNewsWire/--**Early adoption by Fortune 100 companies worldwide, LayerX already secures more users than any other browser security solution and enables unmatched security, performance and experience. LayerX, pioneer of the LayerX Browser Security platform, today announced $26 million in Series A funding led by Glilot+, the early-growth fund of Glilot Capital Partners, with participation from Dell Technologies Capital and other investors. Lior Litwak, Managing Partner at Glilot Capital and Head of Glilot+, and Yair Snir, Managing Partner at Dell Technologies Capital, will join the LayerX board. The new capital will be used for corporate growth across talent and increasing global market presence. This round brings the company’s total investment to $34 million. Today’s modern enterprise employees rely heavily on browser-based services and SaaS applications. Yet, these fundamental work activities expose organizations to a wide range of security risks, like data leaks, identity and password theft, malicious browser extensions, phishing sites and more. LayerX was purpose-built to secure and govern browser-based work, from both managed and unmanaged devices. “We’ve transformed workforce protection for organizations without requiring the transition to a dedicated secure browser. Unlike other solutions, installed in a matter of minutes, the LayerX Browser Extension does not impact employee efficiency, speed, privacy or the browsing experience, ” said Or Eshed, co-founder and CEO, LayerX. “As the browser becomes more central to the employee, we anticipate it becomes more attractive to the attacker, particularly in the wake of GenAI tools used in browser-related activities,” he continues. “Today’s funding round is a testament to our increasing market opportunity and the innovation behind our platform’s user-friendly approach to a more secure browser experience.” LayerX's Enterprise Browser Extension is compatible with all commonly used browsers, including Chrome, Firefox, Edge and others, without requiring agents, a VPN or network modifications. Once deployed, the information security or IT team gains visibility into user activities and can block or restrict any threat in real-time, without impacting the user experience. LayerX protects against all threats, whether they were inadvertently or maliciously caused by the employee, or whether they were originated by the attacker. The solution includes an AI engine that granularly monitors the code run by the browser and automatically generates a variety of insights related to user behavior in the browser. "Since inception, LayerX showed super fast growth and adoption by the world’s leading enterprises. The company is at the forefront of defense for modern organizations. By protecting the browser, the central productivity application in organizations, from a wide range of new-generation security risks, LayerX can solve acute security problems that have remained unanswered until now,” said Kobi Samboursky, Founding and Managing Partner at Glilot Capital “We believe that this novel solution for securing browsers will replace most SASE and SSE solutions prevalent today in organizations. At an estimated market size of $7 billion, the potential inherent in LayerX’s technology is tremendous." "Similar to other successful entrepreneurs in the cybersecurity field we've collaborated with, Or and David bring significant experience and knowledge in understanding the technical issues involved in threats to organizations and the motivations of attackers. Consequently, they recognize that effective security measures should adapt to real-world user behaviors, rather than the other way around,” said Yair Snir, Managing Director at Dell Technologies Capital. “In a world where most computer operations are conducted through browsers, LayerX introduces a creative approach to corporate security that is user-friendly, robust, and easily implementable in large organizations. This approach transforms the browser from a major vulnerability to a strength, facilitating secure work across devices. Our investment in LayerX isn't just driven by the promising opportunity but also by the potential impact of the company's solution on organizations, regardless of where employees conduct their tasks." About LayerX LayerX was founded in 2022 by Or Eshed, CEO, and David Weisbrot, CTO, who developed web attack and defense systems during their military service. In 2017, Eshed led the exposure of the largest attack campaign in history on the Chrome browser, which involved tens of millions of compromised browsers and even led to the capture and trial of the hackers. LayerX has Fortune 100 clients worldwide. LayerX Enterprise Browser Extension natively integrates with any browser, turning it into the most secure and manageable workspace, with no impact on the user experience. Enterprises use LayerX to secure their devices, identities, data, and SaaS apps from web-borne threats and browsing risks that endpoint and network solutions can’t protect against. Those include data leakage over the web, SaaS apps and GenAI Tools, malicious browser extensions, phishing, account takeovers, shadow SaaS, and more. Contact Dori Harpaz LayerX dori@layerxsecurity.com This story was distributed as a release by Cyberwire under HackerNoon’s Business Blogging Program. Learn more about the program here. **TEL AVIV, Israel, May 2nd, 2024/CyberNewsWire/--**Early adoption by Fortune 100 companies worldwide, LayerX already secures more users than any other browser security solution and enables unmatched security, performance and experience. LayerX, pioneer of the LayerX Browser Security platform, today announced $26 million in Series A funding led by Glilot+, the early-growth fund of Glilot Capital Partners, with participation from Dell Technologies Capital and other investors. Lior Litwak, Managing Partner at Glilot Capital and Head of Glilot+, and Yair Snir, Managing Partner at Dell Technologies Capital, will join the LayerX board. The new capital will be used for corporate growth across talent and increasing global market presence. This round brings the company’s total investment to $34 million. Today’s modern enterprise employees rely heavily on browser-based services and SaaS applications. Yet, these fundamental work activities expose organizations to a wide range of security risks, like data leaks, identity and password theft, malicious browser extensions, phishing sites and more. LayerX was purpose-built to secure and govern browser-based work, from both managed and unmanaged devices. “We’ve transformed workforce protection for organizations without requiring the transition to a dedicated secure browser. Unlike other solutions, installed in a matter of minutes, the LayerX Browser Extension does not impact employee efficiency, speed, privacy or the browsing experience, ” said Or Eshed, co-founder and CEO, LayerX. “We’ve transformed workforce protection for organizations without requiring the transition to a dedicated secure browser. Unlike other solutions, installed in a matter of minutes, the LayerX Browser Extension does not impact employee efficiency, speed, privacy or the browsing experience, ” said Or Eshed, co-founder and CEO, LayerX. “As the browser becomes more central to the employee, we anticipate it becomes more attractive to the attacker, particularly in the wake of GenAI tools used in browser-related activities,” he continues. “Today’s funding round is a testament to our increasing market opportunity and the innovation behind our platform’s user-friendly approach to a more secure browser experience.” “As the browser becomes more central to the employee, we anticipate it becomes more attractive to the attacker, particularly in the wake of GenAI tools used in browser-related activities,” he continues. “Today’s funding round is a testament to our increasing market opportunity and the innovation behind our platform’s user-friendly approach to a more secure browser experience.” LayerX's Enterprise Browser Extension is compatible with all commonly used browsers, including Chrome, Firefox, Edge and others, without requiring agents, a VPN or network modifications. Once deployed, the information security or IT team gains visibility into user activities and can block or restrict any threat in real-time, without impacting the user experience. LayerX protects against all threats, whether they were inadvertently or maliciously caused by the employee, or whether they were originated by the attacker. The solution includes an AI engine that granularly monitors the code run by the browser and automatically generates a variety of insights related to user behavior in the browser. "Since inception, LayerX showed super fast growth and adoption by the world’s leading enterprises. The company is at the forefront of defense for modern organizations. By protecting the browser, the central productivity application in organizations, from a wide range of new-generation security risks, LayerX can solve acute security problems that have remained unanswered until now,” said Kobi Samboursky, "Since inception, LayerX showed super fast growth and adoption by the world’s leading enterprises. The company is at the forefront of defense for modern organizations. By protecting the browser, the central productivity application in organizations, from a wide range of new-generation security risks, LayerX can solve acute security problems that have remained unanswered until now,” said Kobi Samboursky, Founding and Managing Partner at Glilot Capital “We believe that this novel solution for securing browsers will replace most SASE and SSE solutions prevalent today in organizations. At an estimated market size of $7 billion, the potential inherent in LayerX’s technology is tremendous." Founding and Managing Partner at Glilot Capital “We believe that this novel solution for securing browsers will replace most SASE and SSE solutions prevalent today in organizations. At an estimated market size of $7 billion, the potential inherent in LayerX’s technology is tremendous." "Similar to other successful entrepreneurs in the cybersecurity field we've collaborated with, Or and David bring significant experience and knowledge in understanding the technical issues involved in threats to organizations and the motivations of attackers. Consequently, they recognize that effective security measures should adapt to real-world user behaviors, rather than the other way around,” said Yair Snir, "Similar to other successful entrepreneurs in the cybersecurity field we've collaborated with, Or and David bring significant experience and knowledge in understanding the technical issues involved in threats to organizations and the motivations of attackers. Consequently, they recognize that effective security measures should adapt to real-world user behaviors, rather than the other way around,” said Yair Snir, Managing Director at Dell Technologies Capital. “In a world where most computer operations are conducted through browsers, LayerX introduces a creative approach to corporate security that is user-friendly, robust, and easily implementable in large organizations. This approach transforms the browser from a major vulnerability to a strength, facilitating secure work across devices. Our investment in LayerX isn't just driven by the promising opportunity but also by the potential impact of the company's solution on organizations, regardless of where employees conduct their tasks." Managing Director at Dell Technologies Capital. “In a world where most computer operations are conducted through browsers, LayerX introduces a creative approach to corporate security that is user-friendly, robust, and easily implementable in large organizations. This approach transforms the browser from a major vulnerability to a strength, facilitating secure work across devices. Our investment in LayerX isn't just driven by the promising opportunity but also by the potential impact of the company's solution on organizations, regardless of where employees conduct their tasks." About LayerX LayerX was founded in 2022 by Or Eshed, CEO, and David Weisbrot, CTO, who developed web attack and defense systems during their military service. In 2017, Eshed led the exposure of the largest attack campaign in history on the Chrome browser, which involved tens of millions of compromised browsers and even led to the capture and trial of the hackers. LayerX has Fortune 100 clients worldwide. LayerX Enterprise Browser Extension natively integrates with any browser, turning it into the most secure and manageable workspace, with no impact on the user experience. Enterprises use LayerX to secure their devices, identities, data, and SaaS apps from web-borne threats and browsing risks that endpoint and network solutions can’t protect against. Those include data leakage over the web, SaaS apps and GenAI Tools, malicious browser extensions, phishing, account takeovers, shadow SaaS, and more. Contact Dori Harpaz LayerX dori@layerxsecurity.com This story was distributed as a release by Cyberwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Cyberwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

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