Everything You Never Knew (but Need to) About Endpoint Security

February 21, 2019 | 41 views

Endpoint security may seem complicated, but it’s quite simple: it’s the process of securing a network's various endpoints. These typically include end-user devices, like laptops, desktop PCs, mobile devices, and more. Hardware like servers is also considered an endpoint. Today, most cybersecurity experts agree that the definition of an “endpoint” varies. At its core, endpoint security seeks to identify and address the risks presented by devices that want to connect to an enterprise network. In recent years, endpoint attack attempts have skyrocketed, and many organizations aren’t sure how to cope.

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Blytheco

Blytheco is an established national, full-service business systems solutions provider. The company has been in business for over 30 years, specializing in the design, implementation, consulting and support of enterprise resource planning (ERP), accounting, client relations management (CRM), human resources, payroll (HRMS / HRIS) and Marketing solutions. We provide a level of service that offers proven business solutions to clients that are customized to meet their needs.

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FUTURE TECH

AI's Impact on Improving Customer Experience

Article | July 26, 2022

To enhance the consumer experience, businesses all over the world are experimenting with artificial intelligenace (AI), machine learning, and advanced analytics. Artificial intelligence (AI) is becoming increasingly popular among marketers and salespeople, and it has become a vital tool for businesses that want to offer their customers a hyper-personalized, outstanding experience. Customer relationship management (CRM) and customer data platform (CDP) software that has been upgraded with AI has made AI accessible to businesses without the exorbitant expenses previously associated with the technology. When AI and machine learning are used in conjunction for collecting and analyzing social, historical, and behavioral data, brands may develop a much more thorough understanding of their customers. In addition, AI can predict client behavior because it continuously learns from the data it analyzes, in contrast to traditional data analytics tools. As a result, businesses may deliver highly pertinent content, boost sales, and enhance the customer experience. Predictive Behavior Analysis and Real-time Decision Making Real-time decisioning is the capacity to act quickly and based on the most up-to-date information available, such as information from a customer's most recent encounter with a company. For instance, Precognitive's Decision-AI uses a combination of AI and machine learning to assess any event in real-time with a response time of less than 200 milliseconds. Precognitive's fraud prevention product includes Decision-AI, which can be implemented using an API on a website. Marketing to customers can be done more successfully by using real-time decisioning. For example, brands may display highly tailored, pertinent content and offer to clients by utilizing AI and real-time decisioning to discover and comprehend a customer's purpose from the data they produce in real-time. By providing deeper insights into what has already happened and what can be done to facilitate a sale through suggestions for related products and accessories, AI and predictive analytics are able to go further than historical data alone. This increases the relevance of the customer experience, increases the likelihood that a sale will be made, and increases the emotional connection that the customer has with a brand.

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FUTURE TECH

The Evolution of Quantum Computing and What its Future Beholds

Article | July 14, 2022

The mechanism of quantum computers will be entirely different from anything we humans have ever created or constructed in the past. Quantum computers, like classical computers, are designed to address problems in the real world. They process data in a unique way, though, which makes them a much more effective machine than any computer in use today. Superposition and entanglement, two fundamental ideas in quantum mechanics, could be used to explain what makes quantum computers unique. The goal of quantum computing research is to find a technique to accelerate the execution of lengthy chains of computer instructions. This method of execution would take advantage of a quantum physics event that is frequently observed but does not appear to make much sense when written out. When this fundamental objective of quantum computing is accomplished, and all theorists are confident works in practice, computing will undoubtedly undergo a revolution. Quantum computing promises that it will enable us to address specific issues that current classical computers cannot resolve in a timely manner. While not a cure-all for all computer issues, quantum computing is adequate for most "needle in a haystack" search and optimization issues. Quantum Computing and Its Deployment Only the big hyperscalers and a few hardware vendors offer quantum computer emulators and limited-sized quantum computers as a cloud service. Quantum computers are used for compute-intensive, non-latency-sensitive issues. Quantum computer architectures can't handle massive data sizes yet. In many circumstances, a hybrid quantum-classical computer is used. Quantum computers don't use much electricity to compute but need cryogenic refrigerators to sustain superconducting temperatures. Networking and Quantum Software Stacks Many quantum computing software stacks virtualize the hardware and build a virtual layer of logical qubits. Software stacks provide compilers that transform high-level programming structures into low-level assembly commands that operate on logical qubits. In addition, software stack suppliers are designing domain-specific application-level templates for quantum computing. The software layer hides complexity without affecting quantum computing hardware performance or mobility.

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SOFTWARE

Language Models: Emerging Types and Why They Matter

Article | July 13, 2022

Language model systems, often known as text understanding and generation systems, are the newest trend in business. However, not every language model is made equal. A few are starting to take center stage, including massive general-purpose models like OpenAI's GPT-3 and models tailored for specific jobs. There is a third type of model at the edge that is intended to run on Internet of Things devices and workstations but is typically very compressed in size and has few functionalities. Large Language Models Large language models, which can reach tens of petabytes in size, are trained on vast volumes of text data. As a result, they rank among the models with the highest number of parameters, where a "parameter" is a value the model can alter on its own as it gains knowledge. The model's parameters, which are made of components learned from prior training data, fundamentally describe the model's aptitude for solving a particular task, like producing text. Fine-tuned Language Models Compared to their massive language model siblings, fine-tuned models are typically smaller. Examples include OpenAI's Codex, a version of GPT-3 that is specifically tailored for programming jobs. Codex is both smaller than OpenAI and more effective at creating and completing strings of computer code, although it still has billions of parameters. The performance of a model, like its capacity to generate protein sequences or respond to queries, can be improved through fine-tuning. Edge Language Models Edge models, which are intentionally small in size, occasionally take the shape of finely tuned models. To work within certain hardware limits, they are occasionally trained from scratch on modest data sets. In any event, edge models provide several advantages that massive language models simply cannot match, notwithstanding their limitations in some areas. The main factor is cost. There are no cloud usage fees with an edge approach that operates locally and offline. As significant, fine-tuned, and edge language models grow in response to new research, they are likely to encounter hurdles on their way to wider use. For example, compared to training a model from the start, fine-tuning requires less data, but fine-tuning still requires a dataset.

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SOFTWARE

Low-code and No-code: A Business' New Best Friend

Article | July 5, 2022

Businesses are starting to integrate artificial intelligence (AI) into their workflow in greater numbers as a result of the growth of digital transformation and developments in machine learning (ML). As a result, platforms that need no coding, as well as their low-code counterparts, are becoming more popular. This development is a step toward computer science's long-term objective of automating manual coding. Low-code/no-code AI platforms will be beneficial to businesses in more data-driven industries like marketing, sales, and finance. AI can assist in a variety of ways, including automating invoicing, evaluating reports, making intelligent suggestions, and anticipating churn rates. How Does an Organization Look at Low-code/No-code as the Future? Developers and other tech-related positions are in high demand, particularly in the fields of AI and data science. Organizations have the chance to close the gap with the aid of citizen data scientists who don't require an AI professional to design unique AI solutions for many scenarios, thanks to low-code and no-code AI technologies. The demand for technological solutions and AI technologies is rising significantly as the technological landscape rapidly changes. AI systems, for example, require complex software that uses a lot of code, a variety of frameworks, and the Internet of Things (IoT). One person's capacity to comprehend every technical detail is strained by the array of complicated technology. Software delivery must be timely, effective, and secure while maintaining high standards. Conclusion Low-code AI solutions offer the speed, ease of use, and adaptability of ready-made software solutions while also drastically reducing the time to market for AI solutions and the cost of recruiting software and computer vision engineers. Organizations are free to construct the architecture, functionality, or pipeline that best suits their project, the sky being the limit. However, creating such unique models may be both costly and time-consuming. Therefore, employing low-code/no-code platforms would apply to particular pipeline actions that would streamline and accelerate the processes.

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Spotlight

Blytheco

Blytheco is an established national, full-service business systems solutions provider. The company has been in business for over 30 years, specializing in the design, implementation, consulting and support of enterprise resource planning (ERP), accounting, client relations management (CRM), human resources, payroll (HRMS / HRIS) and Marketing solutions. We provide a level of service that offers proven business solutions to clients that are customized to meet their needs.

Related News

BlackBerry Cylance Unveils Behavioral Analytics Solution

SecurityWeek | March 05, 2019

BlackBerry Cylance, the company that resulted from BlackBerry’s acquisition of Cylance, on Tuesday introduced CylancePERSONA, a proactive endpoint behavioral analytics solution. The new solution, which expands the capabilities of the Cylance native AI platform, is designed to protect organizations against attacks involving stolen credentials and user impersonation by combining continuous biometric behavior and user conduct monitoring. CylancePERSONA continuously looks for suspicious keyboard and mouse actions and other user activity that could suggest an account takeover. The solution also compares current activity to previously monitored login activity, including location and time, to ensure that a system is accessed by a legitimate user. The collected data is used to calculate a Cylance Trust Score. If this score drops below a specified threshold, various types of actions can be automatically initiated. CylancePERSONA can automatically interrupt user activity, including by suspending processes, logging off the user, or by challenging the user to produce additional forms of authentication (step-up authentication). BlackBerry Cylance claims the solution should reduce false positives by leveraging baseline user behavior. “Every day, rogue insiders and external threat actors exploit valid user credentials to launch cyber attacks, so there is a clear need for organizations to ensure every user logged into their network can be trusted anytime and at all times,” said Eric Cornelius, chief product officer at BlackBerry Cylance.

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Microsoft Enhances Windows Defender ATP

SecurityWeek | November 19, 2018

Microsoft has unveiled several enhancements to its Windows Defender Advanced Threat Protection (ATP) product to improve its protection capabilities. The improvements target various aspects of the endpoint protection platform, such as attack surface reduction, post-breach detection and response, automation capabilities, security insights, and threat hunting, Moti Gindi, General Manager, Windows Cyber Defense, explains. Windows Defender ATP now has new attack surface reduction rules, designed to prevent Office communication applications (including Outlook) and Adobe Acrobat Reader from creating child processes. The new rules should help prevent a variety of attacks, such as those using macro and vulnerability exploits. However, the company also added improved customization for exclusions and allow lists, which can be applied to folders and even individual files, Gindi reveals. Now, Microsoft’s protection platform also takes advantage of emergency security intelligence updates. In the event of an outbreak, the Windows Defender ATP team can request cloud-connected enterprise devices to pull dedicated intelligence updates directly from the Windows Defender ATP cloud, thus eliminating the need for security admins to take action.

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Chrome Now Marks HTTP Sites as "Not Secure"

SecurityWeek | July 25, 2018

The latest version of Google's Chrome web browser (Chrome 68) represents another step the search giant is making toward a more secure web: the browser now marks HTTP sites as “Not Secure.” The change comes three and a half years after the Chrome Security Team launched the proposal to mark all HTTP sites as affirmatively non-secure, so as to make it clearer for users that HTTP provides no data security. When websites are loaded over HTTP, the connection is not encrypted, meaning not only that attackers on the network can access the transmitted information, but also that they can modify the contents of sites before they are served to the user. HTTPS, on the other hand, encrypts the connection, meaning that eavesdroppers can’t access the transmitted data and that user’s information remains private. Google, which has been long advocating the adoption of HTTPS across the web, is only marking HTTP pages with a gray warning in Chrome. Later this year, however, the browser will display a red “Not Secure” alert for HTTP pages that require users to enter data. The goal, however, is to incentivize site owners to adopt HTTPS. For that, Google is also planning on removing the (green) “Secure” wording and HTTPS scheme from Chrome in September 2018. This means that the browser will no longer display positive security indicators, but will warn on insecure connections. Starting May 1, Chrome is also warning when encountering certificates that are not compliant with the Chromium Certificate Transparency (CT) Policy. “To ensure that the Not Secure warning is not displayed for your pages in Chrome 68, we recommend migrating your site to HTTPS,” Google tells website admins.

Read More

BlackBerry Cylance Unveils Behavioral Analytics Solution

SecurityWeek | March 05, 2019

BlackBerry Cylance, the company that resulted from BlackBerry’s acquisition of Cylance, on Tuesday introduced CylancePERSONA, a proactive endpoint behavioral analytics solution. The new solution, which expands the capabilities of the Cylance native AI platform, is designed to protect organizations against attacks involving stolen credentials and user impersonation by combining continuous biometric behavior and user conduct monitoring. CylancePERSONA continuously looks for suspicious keyboard and mouse actions and other user activity that could suggest an account takeover. The solution also compares current activity to previously monitored login activity, including location and time, to ensure that a system is accessed by a legitimate user. The collected data is used to calculate a Cylance Trust Score. If this score drops below a specified threshold, various types of actions can be automatically initiated. CylancePERSONA can automatically interrupt user activity, including by suspending processes, logging off the user, or by challenging the user to produce additional forms of authentication (step-up authentication). BlackBerry Cylance claims the solution should reduce false positives by leveraging baseline user behavior. “Every day, rogue insiders and external threat actors exploit valid user credentials to launch cyber attacks, so there is a clear need for organizations to ensure every user logged into their network can be trusted anytime and at all times,” said Eric Cornelius, chief product officer at BlackBerry Cylance.

Read More

Microsoft Enhances Windows Defender ATP

SecurityWeek | November 19, 2018

Microsoft has unveiled several enhancements to its Windows Defender Advanced Threat Protection (ATP) product to improve its protection capabilities. The improvements target various aspects of the endpoint protection platform, such as attack surface reduction, post-breach detection and response, automation capabilities, security insights, and threat hunting, Moti Gindi, General Manager, Windows Cyber Defense, explains. Windows Defender ATP now has new attack surface reduction rules, designed to prevent Office communication applications (including Outlook) and Adobe Acrobat Reader from creating child processes. The new rules should help prevent a variety of attacks, such as those using macro and vulnerability exploits. However, the company also added improved customization for exclusions and allow lists, which can be applied to folders and even individual files, Gindi reveals. Now, Microsoft’s protection platform also takes advantage of emergency security intelligence updates. In the event of an outbreak, the Windows Defender ATP team can request cloud-connected enterprise devices to pull dedicated intelligence updates directly from the Windows Defender ATP cloud, thus eliminating the need for security admins to take action.

Read More

Chrome Now Marks HTTP Sites as "Not Secure"

SecurityWeek | July 25, 2018

The latest version of Google's Chrome web browser (Chrome 68) represents another step the search giant is making toward a more secure web: the browser now marks HTTP sites as “Not Secure.” The change comes three and a half years after the Chrome Security Team launched the proposal to mark all HTTP sites as affirmatively non-secure, so as to make it clearer for users that HTTP provides no data security. When websites are loaded over HTTP, the connection is not encrypted, meaning not only that attackers on the network can access the transmitted information, but also that they can modify the contents of sites before they are served to the user. HTTPS, on the other hand, encrypts the connection, meaning that eavesdroppers can’t access the transmitted data and that user’s information remains private. Google, which has been long advocating the adoption of HTTPS across the web, is only marking HTTP pages with a gray warning in Chrome. Later this year, however, the browser will display a red “Not Secure” alert for HTTP pages that require users to enter data. The goal, however, is to incentivize site owners to adopt HTTPS. For that, Google is also planning on removing the (green) “Secure” wording and HTTPS scheme from Chrome in September 2018. This means that the browser will no longer display positive security indicators, but will warn on insecure connections. Starting May 1, Chrome is also warning when encountering certificates that are not compliant with the Chromium Certificate Transparency (CT) Policy. “To ensure that the Not Secure warning is not displayed for your pages in Chrome 68, we recommend migrating your site to HTTPS,” Google tells website admins.

Read More

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