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2020 in Review: 10 AI-Powered Tools Tackling COVID-19 – Synced

Over 82 million people have been infected worldwide, and the number of new COVID-19 cases has continued to climb in recent months. As we anxiously await vaccines, artificial intelligence is already battling the virus on a number of fronts from predicting protein structure and diagnosing patients to automatically disinfecting public areas.

As part of our year-end series, Synced highlights 10 AI-powered efforts that contributed to the fight against COVID-19 in 2020.

To help the global research community better understand the coronavirus, UK-based AI company and research lab DeepMind in March leveraged their AlphaFold system to releasestructure predictions for six proteins associated with SARS-CoV-2, the virus that causes COVID-19. In August, DeepMind released additional SARS-CoV-2 structure predictions for five understudied SARS-CoV-2 targets.

AlphaFold was introduced in December 2018. The deep learning system is designed to accurately predict protein structure even when no structures of similar proteins are available, and can generate 3D models of proteins with SOTA accuracy. On November 30, the latest version of AlphaFold was recognized for solving the biennial Critical Assessment of Protein Structure Prediction (CASP) grand challenge with unparalleled levels of accuracy. DeepMind says AlphaFolds success demonstrates the impact AI can have on scientific discovery and its potential to dramatically accelerate progress in some of the most fundamental fields that explain and shape our world.

CT (computed tomography) lung scans and nucleic acid tests are the two main diagnostic tools doctors use in confirming COVID-19 infections, and CT imaging is crucial for lung infection diagnosis verification and severity assessment.

In January, the Shanghai Public Health Clinical Center (SPHCC) partnered with Chinese AI startup YITU Technologys healthcare division which provides AI-powered medical imaging solutions for lung cancer diagnosis to build an AI CT image reader.

By February 5, the AI diagnostic system had been deployed in four Hubei province hospitals struggling with ongoing doctor and supply shortages. Functionalities catering to the specific needs of clinical departments such as radiology, respiratory, emergency, intensive care, etc., were built into the system.

In response to the COVID-19 pandemic, the US White House joined with research groups in March to announce the release of the COVID-19 Open Research Dataset (CORD-19) of scholarly literature about COVID-19, SARS-CoV-2, and the coronavirus group. The release came with an urgent call to action to the worlds AI experts to develop new text and data mining techniques that can help the science community answer high-priority scientific questions related to COVID-19.

The online ML community Kaggle is hosting a CORD-19 dataset challenge that defines 10 tasks based on key scientific questions developed in coordination with the WHO and the National Academies of Sciences, Engineering, and Medicines Standing Committee on Emerging Infectious Diseases and 21st Century Health Threats.

Developed by the Pande Laboratory at Stanford University in 2000 as a distributed computing project for simulating protein dynamics including the process of protein folding and the movements of protein implicated in a variety of diseases the Folding@Home project aims to build a network of protein dynamics simulations run on volunteers personal computers to provide insights that could help researchers develop new therapeutics.

The current focus of Folding@Home is modelling the structure of the 2019-nCoV spike protein to identify sites that can be targeted by therapeutic antibodies. Coronaviruses invade cells via spike protein on their surfaces, which binds to a lung cells receptor protein. Understanding the structure of viral spike protein and how it binds to the ACE-2 human host cell receptor can help scientists stop viral entry into human cells. Anyone who would like to donate their unused computing power can join Folding@Homes fight against the coronavirus.

In March, Canadian startup DarwinAI released COVID-Net, an open-sourced neural network for COVID-19 detection using chest radiography (X-Rays). Company CEO Sheldon Fernandez says COVID-Net has been leveraged by researchers in Italy, Canada, Spain, Malaysia, India and the US.

Fernandez explains that rather than treating AI as a tool, his company reimagines AI as a collaborator that learns from a developers needs and subsequently proposes multiple design approaches with different trade-offs in order to enable a rapid and iterative approach to model building.

In response to the COVID-19 pandemic, Andrej Karpathy director of artificial intelligence and Autopilot Vision at Tesla and developer of the arXiv sanity preserver web interface introduced Covid-Sanity, a web interface designed to navigate the flood of bioRxiv and medRxiv COVID-19 papers and make the research within more searchable and sortable.

Covid-Sanity organizes COVID-19-related papers with a most similar search that uses an exemplar SVM trained on TF-IDF feature vectors from the abstracts of the papers. This is similar to the Google search engine, which responds by finding the relevance of a query in all texts, ranks by similarity scores and returns the top-k results. Based on paper abstracts, the web interface returns all papers similar to the best-matched paper result to a query.

Disinfection of public areas is a challenging but crucial process in the fight to stop the spread of the COVID-19. In China, ad hoc teams of DJI drone hobbyists sprung up nationwide to provide this service for free. By February, total DJI agricultural drone disinfection coverage had exceeded 600 million square meters across more than 1,000 villages including schools, isolation wards, food waste treatment plants, waste incineration plants, livestock and poultry epidemic prevention centres and more.

Shenzhen-based DJI is a leading drone and associated technologies company. In February they launched the DJI Army Against the Virus project, providing subsidies to support working pilots, with provisions for pilot protective kits and assistance to villages who perform drone disinfection. Spare parts and drone repair services were also provided during the missions.

Many AI-powered autonomous vehicles navigated Chinese streets in response to the COVID-19 outbreak. Developed and modified for the purpose by Chinese O2O local life service company Meituan, Modai (Magic Bag) vehicles delivered much-needed groceries to communities in Beijings Shunyi District.

Self-driving delivery vehicles like Modai were an effective solution to the COVID-triggered surge of online grocery orders and the need to reduce interpersonal contact to slow disease spread. The urgent needs and empty streets drew many companies into autonomous delivery JD Logistics developed self-driving delivery vehicles in Wuhan and for the first time delivered medical supplies to the Wuhan Ninth Hospital, and the Suning Logistics 5G Wolong self-driving car delivered its first orders in Suzhou.

Japans Fujitsu Ltd developed an artificial intelligence monitor to ensure healthcare, hotel, and food industry workers wash their hands properly, according to a Reuters report. The system is based on crime surveillance technology that detects suspicious body movements, and can recognize and classify complex hand movements. It checks whether people complete a Japanese health ministry six-step hand washing procedure similar to guidelines issued by the WHO (clean palms, wash thumbs, between fingers and around wrists and scrub fingernails). The monitor can even tag instances of people not using soap.

Fei-Fei Li, Stanford computer science professor and co-director of Stanfords Human-Centered AI Institute (HAI), shared her thoughts on AI technologies that could help seniors during the coronavirus pandemic in Aprils COVID-19 and AI: A Virtual Conference. Li identified AI-powered smart home sensor technology as a way to help families and clinicians remotely monitor housebound seniors for infection symptoms or symptom progression or regression and potentially also help manage their chronic health issues.

Research institution Strategy Analytics predicts the smart home market will resume in 2021 and consumer spending will increase to US$62 billion. The post-pandemic global smart home device market is expected to maintain a compound annual growth rate of 15 percent.

As efforts to control the spread of COVID-19 continue, contact tracing has emerged as a public health tool where ML can play an important role in optimizing systems. Various countries have developed digital contact tracing processes with mobile applications, utilizing technologies like Bluetooth, the Global Positioning System (GPS), social graphs, network-based API, mobile tracking data, system physical addresses, etc. These apps collect massive data from individuals, which ML and AI tools analyze to identify and trace vulnerable people.

A study published by the US National Library of Medicine shows that by June, over 36 countries had successfully employed digital contact tracing systems using a mixture of ML and other techniques.

Reporter: Yuan Yuan | Editor: Michael Sarazen

Synced Report |A Survey of Chinas Artificial Intelligence Solutions in Response to the COVID-19 Pandemic 87 Case Studies from 700+ AI Vendors

This report offers a look at how China has leveraged artificial intelligence technologies in the battle against COVID-19. It is also available onAmazon Kindle.Along with this report, we also introduced adatabasecovering additional 1428 artificial intelligence solutions from 12 pandemic scenarios.

Clickhereto find more reports from us.

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Data Warehouse As A Service Dwaas Market 2020 Global Trends, Market Share, Industry Size, Growth, Opportunities Analysis and Forecast to 2026 : IBM,…

The Data Warehouse As A Service Dwaas Market report classifies the market into different segments based on the application, technique and end user. These segments are studied in detail incorporating the market estimates and forecast at the regional and country level. The segment analysis is useful in the understanding the growth areas and credible opportunities of the market. In the end, the report makes some important proposal of the new project of Data Warehouse As A Service Dwaas industry before evaluating its feasibility. The report provides an in-depth insight of global market covering all important parameters.

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by Application (Customer Analytics, Risk, And Compliance Management, Asset Management, Supply Chain Management, Fraud Detection and Threat Management, and Others), Usage (Analytics, Reporting, Data Mining), End-Use (Retail & E-Commerce, Manufacturing, BFSI, IT & Telecom, Media & Entertainment, Energy And Utilities, Travel & Hospitality, Others)

Section-wise Break-up: Global Data Warehouse As A Service Dwaas Market

1.A complete reference and description of the entire series of events dominant in global keyword market across regional growth spots and specific countries have also been thoroughly touched upon in the report.2.A complete outlook entailing vital details pertaining to the competitive landscape has been minutely assessed and crucial conclusions have also been pinned in this section.3.The report also serves as a reliable information source for leading players as well as emerging ones seeking for dependable investment guide in the volatile Data Warehouse As A Service Dwaas market.4.Other relevant information citing developments in the product and service offerings improvisation makes up for significant business decision amongst investment enthusiasts.5.Additional details inclusive of the holistic growth scope, market size and dynamics as well as threat evaluation and untapped market opportunities in the global Data Warehouse As A Service Dwaas market also form significant sections in the report.

Analyzing the Investment Potential of the Global Data Warehouse As A Service Dwaas Market Report1.The report hovers across the past and current dynamics to deduce significant developments in the aforementioned market, thus effectively encouraging agile business outcome2.The report also is a ready-to-refer documentation that entails substantial information featuring the developments across segments and their role in growth optimization3.Systematic R&D activities and concomitant resource planning are thoroughly touched upon in this report featuring the development graph in global Data Warehouse As A Service Dwaas market.4.The report also ensures investor participation towards directing manufacturer and vendor activities in a bid to achieve significant competitive edge.5.Market based developments are also accurately sectioned in both value-based volume-based calculations to thoroughly encourage reader understanding and subsequent growth potential in global Data Warehouse As A Service Dwaas market.

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SolarWinds Attack: ‘This Hit the Security Community Hard’ – BankInfoSecurity.com

3rd Party Risk Management , Application Security , Cybercrime as-a-service

The SolarWinds breach is a case study in how attackers can subvert a widely used piece of software to turn it to their advantage, says Lou Manousos, CEO of RiskIQ.

See Also: The SASE Model: A New Approach to Security

"The magnitude of this attack is hard to overstate," Manousos says. "Having a supply chain vendor like this - with a legitimate program that is trusted - used to carry out an attack, it's just unprecedented.

"The number of organizations that have been hit, the types of organizations - some really advanced security programs - I think we're all shocked to see how the traditional protection that has been put in place just wasn't as effective as we would have liked when we have trusted software like this."

In this video interview with Information Security Media Group, Manousos discusses:

Manousos is CEO and co-founder of RiskIQ. As CEO, he has spearheaded a new approach that helps internet, financial services, healthcare, media and consumer packaged goods companies protect their brands from online fraud. Manousos is a recognized expert in internet security and fraud prevention who has been developing and delivering enterprise protection technologies for more than 15 years.

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Internet of Medical Things: Combatting Connected Health Security Threats – IoT For All

The healthcare industry increasingly relies on IoT networks to securely connect a growing variety of medical devices and equipment. These connected devices are transforming processes and the continuum of care in applications ranging from a hospitals consignment inventory management to remotely controlling insulin pumps, heart-rate monitors, and other implantable devices using smartphones.

In these and other Internet of Medical Things (IoMT) applications, device security is often neglected. Some solution providers mistakenly believe that security cannot be implemented cost-effectively, which is hazardous thinking. The industry moves to a command-and-control model using commercial smartphones whose built-in security mechanisms are generally not adequate for safety-critical applications. These and a wide variety of other IoMT challenges can be solved through a three-tiered security-by-design strategy that protects all communication between system elements, brings trust to each system element, and ensures always-on connectivity between smartphone apps, the IoMT devices, and the cloud.

Cyberattacks or IoMT integrity issues for connected implantable medical devices have unfortunately become more and more prevalent. One of the first examples occurred in May 2019 when a Type 1 diabetes patient re-programmed his insulin pump to customize his treatment and landed in the hospital. He had exploited a security flaw in his commercially available, FDA-authorized device that, according to the FDAs safety warning, could pose significant risks if patients did not correctly implement their own treatment customization.

This same type of safety flaw also provides an open door to hackers, enabling them to access a device whether to cause harm or steal sensitive health information. Some of these same devices require the patient to change a device component, or consumable, over the devices lifetime. The consumable itself poses a new threat opportunity in terms of counterfeit replacement or integrity.

Another popular application for IoMT solutions is hospital asset tracking so that equipment is always available and accessible, and one of the most promising is consignment inventory management. Vendors increasingly sell products, equipment, and associated consumables to hospitals on consignment, issuing invoices only when items are used. Further, OEMs need to ensure that the consigned inventory is maintained to the OEM requirements such as temperature, humidity, and other environmental factors before being utilized in inpatient care.

In the past, all information about these items was manually entered, from their receipt at the hospital to their use and re-stocking. Adopting an IoMT solution for these processes reduces errors while improving efficiency, but security is critical for ensuring the integrity of the supply chain and all financial transactions.

Equally, if not more, important is the authenticity of this hospital inventory. Johnson & Johnson said in its June 2020 document, Position on Counterfeit Healthcare Products, that Counterfeits cover the spectrum of medicines, both prescription and OTC, as well as different forms of medical devices and surgical instruments and a range of consumer products The company went on to say that, in many cases, the fake or counterfeit productsare indistinguishable to patients, consumers, and healthcare professionals, so detection by specialists is needed.

A high-profile example is personal protective equipment (PPE), whose supply has been plagued by counterfeiting during the global pandemic. Healthcare providers must defend themselves against this risk while also ensuring the proper use of all legitimate medical equipment and consumables, whether they be controlled substances that must be correctly dosed to the intended individual or x-ray plates that must be used with a given imaging system for a specified patient.

Every piece of connected equipment inside the hospital is also a cybersecurity threat surface. Cybercriminals can use legacy equipment like MRIs and other wired Ethernet medical systems ranging from anesthesia machines to ventilators and infusion pumps as a means into the hospitals core communications network. Many of these systems were produced long before cybersecurity was a critical consideration. Connecting them to the hospital network can open the door to a variety of cybersecurity attacks.

The danger grows with the adoption of commercial smartphones for controlling connected-health solutions. The devices Bluetooth wireless connection does not provide adequate security. Mitigating these threats requires a multi-layered, security-by-design approach that minimizes cost while simplifying deployment.

Each of the applications described thus far requires multiple layers of protection, especially those that use smartphones for command and control in life-critical situations. While it is true that Bluetooth, NFC, LTE, Ethernet, and other protocols mitigate some breaches, they do not defend against all threats. Therefore, it is necessary to start at the application layer, protecting the communications channel between the smartphone app, the medical device, consumable (if applicable), and the cloud from various malware and wireless channel cybersecurity attacks.

Unlike typical transport layer security that only protects the message payload as it moves down the OSI stack and back, application-layer security creates a secure tunnel between the sender and receiver. It essentially enables the application to natively build its own security rather than rely solely on the lower stack levels. The session can be authenticated and require all messages to be encrypted before they leave the app. Robust key exchanges and key management functions enable the recipient to decrypt and validate these messages before utilizing the recipient app.

The second layer of security, for authentication, is essential for smartphone-based control of implantable devices. It helps protect both the application and the platform upon which the app is running, mitigating the risk of attack through connectivity to the solutions cloud services, smartphone apps, and other IoT devices. This layer can handle authentication of the user, the smartphone app, cloud, consumable, and any associated devices connected to the solutions communication system while validating their integrity to ensure hackers cannot gain root access to privileges that enable them to do harm. The authentication layer is particularly important for connected-health solutions that are at risk of counterfeiting. It brings trust to each thing in an IoT solution to protect patient safety and the privacy and integrity of their information.

To implement the authentication layer, each system element must have a unique digital cryptographic identity and have attestation capabilities so it can validate the authority and privileges of the other elements. This ensures there is a root of trust within and between all components in the system so all remain uncompromised and invulnerable to the latest cyber threats. The authentication layer thus ensures that only authorized and trusted sources can send information and issue commands. It can also prevent reverse engineering by obfuscating the application code and ensures other smartphone applications cannot interfere with the connected-health application.

The authentication layers root of trust needs to be established on each system element, including the device, cloud, consumable, and smartphone. Depending on the element, either software or hardware may be used to establish the root of trust. In the factory, Hardware Security Modules, or HSMs, may be used to provide both the medical device and the consumable with cryptographic keys and digital certificates to behave like secure elements (SE) in the system. The trusted cloud issues digital certificates over the air that identify the apps and devices as trusted and handles all the solutions identity lifecycle management. Lastly, even the user may be authenticated based on third party databases and phone resources to verify fingerprints, facial images, document scans, and the like.

The last layer of this three-tiered security-by-design architecture addresses the challenge of ensuring seamless connectivity. Whether its an asset tracking and consignment inventory management or wearable injection device, it is critical to have always-on connectivity between the Thing and the Cloud to exchange data, change operating profiles, and update firmware over-the-air, or administering alerts. Too often, solutions depend exclusively on a handheld device or smartphone for cloud connectivity and cannot ensure that the system always has the most recent device data and can immediately change device performance.

One way to solve this problem on the smartphone is with security software that runs in the OS background. After the smartphone user starts the app and configures it for continuous operation, this layer can continue to harvest the devices IoT data whenever the devices are in proximity to the smartphone.

A second solution for this layer takes a hardware-based approach to the problem. A small-form-factor bridge can implement one communications protocol for interaction with the IoT device and another to communicate with the cloud. The first protocol usually features only personal area coverage. This solution can be configured either for continuous operation or only when the primary IoT-to-cloud path is unavailable.

The third approach to implementing this authentication layer is protecting legacy equipment such as MRI machines and other wired Ethernet medical systems. In this case, a hardware gateway is used to connect to the Ethernet network. It is placed in front of this vulnerable medical equipment to provide a separate channel for communicating only with authenticated devices.

A system that combines the capabilities of smartphones, bridges, and hardware gateways, as described above, ensures the always-on feature that most IoMT deployments need.

Connected-health security solutions were previously built from the ground up. Todays offerings can still be implemented in a modular fashion to meet a wide range of application scenarios using third-party software developer kits (SDKs). This provides users with a building-block approach to adding security at a lower cost and greater flexibility than in the past. The approach also makes it possible to retrofit robust security measures into legacy designs and infrastructures as needed and continuously improve them, up to and including incorporating HSMs later in a solutions lifecycle to optimize how the application layers root of trust is implemented.

Solutions like these add small incremental cost to IoMT-based consignment inventory management systems, connected legacy medical equipment, and smartphone-controlled implantable healthcare devices, but the benefits they deliver are manifold. They significantly improve security while providing the opportunity to differentiate IoMT offerings based on the incalculable benefit of protecting patients from injury or death.

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Stay Safe Online: What You Need To Know About Digital Distancing – MakeUseOf

The more you use digital devices and the internet to access, manage, and store your personal files, the higher the risk of a hacker accessing them remotely.

But in a world where it's necessary to digitize every aspect of your life, how do you keep yourself safe from the inevitable cyberattack or data leak?

Digital distancing is the practice of limiting communication and access between different digital accounts, devices, or apps.

Think of it as a simplified version of network segmentation, where the network is broken into several independent units to minimize damages in case of a cyberattack or a data breach and makes them easier to protect individually.

To digitally distance your accounts and devices is to create protective distance between them. That way, if an attacker manages to break into one device or account, they dont have access to all of your data, but only a part of it.

Related:What Is a Data Breach and How Can You Protect Yourself?

In addition to minimizing the damages of a malicious cyberattack, practicing digital distancing also makes recovery easier. After all, youd only need to change the credentials of a few accounts, not all of them.The same goes for data recovery and mitigating social damages to your character and reputation.

You often hear phrases like "network segmentation" and "digital distancing" in business-centric cybersecurity conversations, rarely regarding internet security for the individual user. That's because the average user wasnt as big a target as they are now. But, since you might be working remotely from home, studying online, or working on a personal project, your data is much more valuable than it used to be10 years ago.

Applying digital distancing to a single user instead of a business corporation with dozens of employees differs in execution but not in concept.

Security measureslike this used to demand exceptional levels of skill and expertise, making it unavailable to the average user.Now that technology has became more wide-spread, anyone can implement a degree of digital distancing that best works for them.

Digital distancing forindividualsdoesntrequire technical elementsit's about behavioral changes and rules you set for your online activity to ensure maximum security.

Separating your devices and accounts doesnt need to have any specialized monitoring software as its easy to do it manually using readily-available tools.

If possible, use separate work/school and entertainment devices. This helps keep your most valuable data isolated in case of an attack, which is more likely to originate from the device you use for casual browsing than work orstudying.

You should use separate accounts for separate purposes. While those dont have to be strictly separated by the type of use, they limit the damages if your logins happen to be in a data leak.

A VPN doesnt only come in handy when watching Netflix. Learn how to use your VPN as it encrypts the data leaving your device into the open internet and masks your IP address.

Not to mention, most VPNs now come with built-in malware and spyware detectors, creating an additional layer of security while browsing even the most suspicious of websites.

One key element of digital distancing is using different passwords between accounts to keep them secure in case one is breached. A password manager keeps all of your passwords locked securely behind a single master password.

You might be worried that a cybercriminal can use a brute-force attack or similar to effectively guess your password andgain access to all of your logins. You could use two password managers if this concerns you; however, you need to make sure youuse multiple password vaults under different credentials. Otherwise, the risk is still there.

Nonetheless, a sole password manager should be fine.

MFA is your failsafe if one of your passwords is stolen. Using MFA is akin to implementing an additional login requirement that a hacker won't be able to bypass as easily. MFA comes in the form of text messages, emails, physical keys, or on-device authentication apps.

Using one or more authentication method should correlate to your threat model and how valuable an account or device is.

The goal of digital distancing is to limit communication betweenservicesto isolate them. Regular cross-device and cross-account syncing does the exact opposite. It links and shares data between devices and accounts openly and regularly.

Instead ofstopping synchronization altogether, limit it to a smaller number of accounts and devices and use it only when necessary. You can also replace direct file syncing with using secure cloud storage where you manually input a passwordand preferably an additional authentication methodto access data.

An Internet of Things (IoT) device is any device that connects to the internet. This could be a printer, thermostat, or smart assistant.

While most IoT devices promise maximum security, according to NETSCOUTSs Threat Intelligence Report, it takes an average of five minutes for an IoT device to get attacked after it goes online.

You should aim to keep your IoT devices offline as often as possible. Otherwise, heres what you can do:

The kill-switch could be automatic; for instance, after a certain number of failed login attempts, using geographical location boundaries, or manual through remote access. These methods allow you to permanently dispose of private data stored on a lost or stolen device.

That way, you can eliminate the trails a hacker or thief can follow to your other devices and accounts through crumbs you might have accidentally left behind as well as keep your personal files private.

Just be careful your information isn't completely lost,so back them up regularly.

The more secure your files are, the less convenient using your accounts and devices becomes. Thats why instead of going overboard and exhausting yourself with strict security measures, start slow and do what's necessary to your situation.

Secure your most valuable accounts first, such as your email, cloud storage, and password manager.

Image Credit: Unsplash.

You need specialized search engines to find legal torrents, foreclosed houses, public records, and even UFOs. Enter the dark web.

Anina is a freelance technology and internet security writer at MakeUseOf. She started writing in cybersecurity 3 years ago in hopes of making it more accessible to the average person. Keen on learning new things and a huge astronomy nerd.

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Local Governments and States of the United States Solar Winds | Now – DodoFinance

The US Internet Security Agency (CISA) says a recent cyber attack on the US government has hit private US and local governments.

Hackers were able to hijack Solar Winds security software and hack into the federal governments network. The breach affected networks within the federal government, individual states and local governments, and within key infrastructure and business organizations, CISA wrote in a statement on its website.

U.S. The company announced last week that government agencies and critical infrastructure were affected, but did not name individual states or local governments at the time. Sisa did not immediately respond to requests for further details.

Intelligence MPs, Foreign Secretary Mike Pompeo and Justice Secretary Bill Barr have blamed Russia for the attack. However, some officials believe it is too early to say for sure who carried out the cyber attack.

Future US President Joe Biden has warned that those behind cyber attacks could face severe punishment. As President I want our adversaries to know that I do not see cyber attacks on our nation.

Explorer. Devoted travel specialist. Web expert. Organizer. Social media geek. Coffee enthusiast. Extreme troublemaker. Food trailblazer. Total bacon buff.

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Importance of AWS Identity and Access Management – Enterprise Security Mag

With all its interesting capabilities and potential, AWS IAM is gaining the gravity it deserves.

FREMONT, CA: Previously, the battle lines of network and internet security were drawn clearly. It was easy to separate good actors from malicious actors. Cybersecurity focused on preventing unauthorized access to network resources and data. IT security professionals have to pay closer attention today because the threats arent trying to hack or crack their way in. They are using sophisticated methods to obtain valid user credentials and walking in through the front door. Enterprises need to have a strong identity and access management, and cloud logging and monitoring to recognize and respond to malicious behavior. This is where Identity and Access Management (IAM) in AWS comes in.

Security in the cloud is one of the biggest barriers to cloud migration. It becomes essential for security operation teams to follow security best practices to ensure a smooth transition with a strong basis. With all the public attention surrounding major cloud platforms, it is admirable that AWS IAM follows an incredibly granular approach in offering permissions and access control. IAM lets enterprises control who can use the resources and in which ways. This is why its possible to create an exceedingly safe environment using AWS.

Check Out:Top Cybersecurity Companies

AWS IAM lets enterprises create and manage identities, including users, groups, and roles, meaning firms can issue and allow authentication for resources, people, services, and apps within the AWS account. Access management or authorization in IAM is made of policies and permissions. IAM lets enterprises do this without sharing the credentials, and more recently, AWS released ControlTower to further simplify multi-account configurations.

As the biggest cloud platform and provider, AWS has come forth with several measures to enhance security, and IAM is the most vital of all of them. However, security and IAM is a complicated subject, which is why AWS released the Shared Responsibility Model aimed at establishing and sharing the responsibility for security and compliance between customers and AWS.

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Internet of Things Security Market increasing demand with Industry Professionals: Check Point Security Software Technologies, Cisco Systems -…

GlobalInternet of Things SecurityMarket Report is an objective and in-depth study of the current state aimed at the major drivers, market strategies, and key players growth. The study also involves the important Achievements of the market, Research & Development, new product launch, product responses and regional growth of the leading competitors operating in the market on a universal and local scale. The structured analysis contains graphical as well as a diagrammatic representation of worldwideInternet of Things SecurityMarket with its specific geographical regions.

[Due to the pandemic, we have included a special section on the Impact of COVID 19 on the @ Market which would mention How the Covid-19 is Affecting the Global Internet of Things Security Market

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** The Values marked with XX is confidential data. To know more about CAGR figures fill in your information so that our business development executive can get in touch with you.

Global Internet of Things Security(Thousands Units) and Revenue (Million USD) Market Split by Product Type such as Cloud Security, Application Security, Endpoint Security, Network Security

The research study is segmented by Application such as Laboratory, Industrial Use, Public Services & Others with historical and projected market share and compounded annual growth rate.GlobalInternet of Things Securityby Region (2019-2028)

Geographically,this report is segmented into several key Regions, with production, consumption, revenue (million USD), and market share and growth rate ofInternet of Things Securityin these regions, from 2013to 2029(forecast), covering

Additionally, the export and import policies that can make an immediate impact on theGlobal Internet of Things Security Market. This study contains a EXIM* related chapter on theInternet of Things Securitymarket and all its associated companies with their profiles, which gives valuable data pertaining to their outlook in terms of finances, product portfolios, investment plans, and marketing and business strategies. The report on theGlobal Internet of Things Security Marketan important document for every market enthusiast, policymaker, investor, and player.

Key questions answered in this report Data Survey Report 2029

What will the market size be in 2029and what will the growth rate be?What are the key market trends?What is driving Global Internet of Things Security Market?What are the challenges to market growth?Who are the key vendors inspace?What are the key market trends impacting the growth of theGlobal Internet of Things Security Market?What are the key outcomes of the five forces analysis of theGlobal Internet of Things Security Market?

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There are 15 Chapters to display theGlobal Internet of Things Security Market.

Chapter 1, to describe Definition, Specifications and Classification ofInternet of Things Security, Applications ofInternet of Things Security, Market Segment by Regions;

Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;

Chapter 3, to display the Technical Data and Manufacturing Plants Analysis ofInternet of Things Security, Capacity and Commercial Production Date, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis;

Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);

Chapter 5 and 6, to show the Regional Market Analysis that includes North America, Europe, Asia-Pacific etc.,Internet of Things SecuritySegment Market Analysis by Cloud Security, Application Security, Endpoint Security, Network Security ;

Chapter 7 and 8, to analyze theInternet of Things SecuritySegment Market Analysis (by Application) Major Manufacturers Analysis ofInternet of Things Security;

Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type Cloud Security, Application Security, Endpoint Security, Network Security , Market Trend by Application Smart Retail, Connected Vehicles, Smart Government and Defense, Connected Healthcare, Consumer Wearables, Connected Logistics, Smart Energy and Utilities, Smart Manufacturing , ;

Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;

Chapter 11, to analyze the Consumers Analysis ofInternet of Things Security;

Chapter 12, to describeInternet of Things SecurityResearch Findings and Conclusion, Appendix, methodology and data source;

Chapter 13, 14 and 15, to describeInternet of Things Securitysales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

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Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

About Author:JCMR global research and market intelligence consulting organization is uniquely positioned to not only identify growth opportunities but to also empower and inspire you to create visionary growth strategies for futures, enabled by our extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist you for making goals into a reality. Our understanding of the interplay between industry convergence, Mega Trends, technologies and market trends provides our clients with new business models and expansion opportunities. We are focused on identifying the Accurate Forecast in every industry we cover so our clients can reap the benefits of being early market entrants and can accomplish their Goals & Objectives.

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Internet of Things Security Market increasing demand with Industry Professionals: Check Point Security Software Technologies, Cisco Systems -...

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Improve Your Internet Speed in 2021 With These Gadgets On Sale – ExtremeTech

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Improve Your Internet Speed in 2021 With These Gadgets On Sale - ExtremeTech

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SOC as a Service market on the up, driven by greater focus on security – SecurityBrief Asia

The global System On a Chip (SOC) as a Service market is set to reach US$676.8 million by 2026, according to a new study from Valuates Reports.

This represents an increase from US$305.5 million in 2020, at a CAGR of 14.2% during the forecast period 2021-2026.

The major factors that are driving the growth of SOC as a service market size are a rise in sophisticated cyber attacks, increasing venture capital funding, and growing investments in SOC as a Service technology, the report states.

In addition, a surge in trends such as BYOD and work from home is expected to drive the SOC as a service market size.

WFH employees use private networks such as telephone or internet links, the security strength of which is not known to organisations.

As these are mostly used for business purposes, they may be at risk of ransomware and other cybersecurity threats that did not originate within the organisation.

In order to protect businesses from possible harms that may be caused by these developments, corporations are embracing SOC as a Service to reduce the threat, the report states.

Furthermore, increased adoption of SOC as a Service by government and public sector is expected to drive the SOC as a Service market size.

Governments are heavily deploying new technology solutions through digital governance initiatives and smart cities.

Applications in the government and public sector industry verticals are becoming the primary targets for cyber criminals to access confidential data.

Due to the COVID-19 pandemic, the reliance on online businesses has increased significantly.

BFSI, retail, government and public sector, electricity, and infrastructure, healthcare and manufacturing sectors, among others, are using the internet to provide the requisite services to customers.

This increasing focus on online business due to the COVID-19 pandemic is expected to further propel the growth of SOC as a Service market size.

When it comes to regions, Asia Pacific is expected to witness the highest CAGR growth during the forecast period. Industries such as financial institutions, government and public sector, healthcare, retail, manufacturing, energy and utilities, and others are expected to adopt SOC as a service solution in this region.

Companies operating in APAC will benefit from flexible economic conditions, government-driven industrialisation policies, and increasing digitalisation, the report finds.

North America also is expected to hold a significant SOC as a service market share during the forecast period. This is due to the increased focus to enhance advanced systems protection for the enterprises, increasing the need for data security, and the strong presence of several market players.

Major key vendors include Proficio, BlackStratus, Thales e-Security, Cygilant, Alert Logic, Arctic Wolf Networks, Netmagic Solutions, ESDS Software Solution, AQM Technologies and Suma Soft.

In the reportGlobal Opportunity Analysis and Industry Forecast, 20212026,SOC as a Service Market is Segmented by type (Prevention, Detection, Incident Response), application (BFSI, Healthcare, Education, Retail, IT and Telecom, Logistics and Transportation, Manufacturing, Others), key vendors and regional growth.

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SOC as a Service market on the up, driven by greater focus on security - SecurityBrief Asia

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