Using Advanced AI to Stay Ahead of Cybercriminals

JOHN MADDISON | February 12, 2019 | 47 views

As the threat landscape continues to evolve rapidly, it now includes increasingly sophisticated, zero-day malware that traditional security approaches can no longer keep pace with. As a result, security researchers estimate that the cost of cybercrime will outpace security spend by over 16X, reaching $2.1 trillion by the end of 2019. Staying ahead of today’s accelerated cybercrime trends requires adding artificial intelligence (AI) to an organization’s network security strategy.

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Virtual IT

Virtual IT is a managed IT services firm committed to providing businesses with the competitive advantage and reliability of Worry Free IT. Free to work on their business, Virtual IT's clients leave the management of technology to their Virtual IT department. Although computers and technology are our primary focus we are more than IT consultants. We are business advisors who aim to help grow a company and assist them in achieving their business goals by utilizing today's technology.

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SOFTWARE

AI's Impact on Improving Customer Experience

Article | July 8, 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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SOFTWARE

The Evolution of Quantum Computing and What its Future Beholds

Article | August 8, 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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FUTURE TECH

Language Models: Emerging Types and Why They Matter

Article | July 14, 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

Virtual IT

Virtual IT is a managed IT services firm committed to providing businesses with the competitive advantage and reliability of Worry Free IT. Free to work on their business, Virtual IT's clients leave the management of technology to their Virtual IT department. Although computers and technology are our primary focus we are more than IT consultants. We are business advisors who aim to help grow a company and assist them in achieving their business goals by utilizing today's technology.

Related News

Fortinet Introduces New Next-Generation Firewalls

SecurityWeek | February 07, 2019

Fortinet this week announced new FortiGate Next-Generation Firewalls (NGFWs), which help customers improve security through implementing Intent-based Segmentation. The newly announced firewalls, namely FortiGate 3600E, FortiGate 3400E, FortiGate 600E and FortiGate 400E Series, provide a robust security architecture that doesn’t rely on a single enforcement point, the network security firm says. With Intent-based Segmentation, which results in granular access control, continuous trust assessment, end-to-end visibility, and automated threat protection, the new security appliances allow organizations achieve adaptive security by segmenting IT assets, thus having multiple enforcement points. The new FortiGate NGFWs, Fortinet says, are part of its Security Fabric, delivering integrated and consistent security policy across both on-premise and cloud assets. Customized Security Processor Units (SPUs) ensure that full visibility and advanced threat protection are available without performance loss. According to Fortinet, the new solutions can deliver the industry’s highest SSL inspection performance for their class. The FortiGate 3600E Series delivers performance of 30Gbps of threat protection throughput and 34Gbps of throughput with SSL inspection. The FortiGate 3400E Series provides 23Gbps of threat protection and 30Gbps SSL inspection performance, while the FortiGate 600E Series achieves up to 7Gbps of threat protection and 8Gbps SSL inspection performance, and the FortiGate 400E Series can support up to 5Gbps of threat protection and 4.8Gbps of SSL inspection performance.

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Fortinet Introduces Intent-Based Next-Gen Firewalls

SDxCentral | February 06, 2019

Fortinet today released a family of next-generation firewalls that feature intent-based segmentation. The company says that this approach provides organizations with a granular level of security control by matching functionality to specific use cases and business requirements. The four next-generation firewalls in the family are the FortiGate 3600E, the FortiGate 3400E, the FortiGate 600E and the FortiGate 400E. “The thing that’s new here is the support for the different types of segmentation,” ZK Research Principal Analyst Zeus Kerravala told SDxCentral. He said that next-generation firewalls long have been used for segmentation, mostly at the macro and occasionally endpoint levels. The Fortinet platform adds micro and application/process segmentation. This means that separate platforms are not necessary to perform these tasks. Fortinet, which has been on a good run lately, has taken segmentation a step further. The idea is that different levels of security are needed in different scenarios. Fortinet’s next-generation firewalls enable this. “The other thing that’s new here is ‘Intent based’ segmentation where customers can align their segmentation strategy with business intent,” Kerravala wrote in an email. “For example, the business may want to tier cloud access and Fortinet will automate [the entire] configuration.” Thus, an organization that needs extra levels of security around financial or medical databases, or in other ways needs to modulate its security posture, can do so efficiently and at comparatively low costs. “Intent-based segmentation allows enterprises to segment flat-networks intelligently in accordance with business outcomes that will achieve improved security posture, mitigate risks, compliance and operational efficiency,” Nirav Shah, Fortinet senior director of network security, told SDxCentral.

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Fortinet Security-First Approach to SD-WAN Continues to Gain Momentum

DQINDIA | January 02, 2019

Fortinet, a global leader in broad, integrated and automated cybersecurity solutions, announced recent customer, partner and market momentum, as well as independent testing results, of its FortiGate Secure SD-WAN solution. Rajesh Maurya, Regional Vice President, India and SAARC at Fortinet says “In today’s threat landscape, security can never be an afterthought in any network deployment. Fortinet’s focused innovations and evolution of best-of-breed SD-WAN with in-built next-generation firewall provides the advanced threat protection necessary for direct internet connectivity. Our philosophy of tightly integrating security and SD-WAN functionality together minimizes management complexity, ensures a safer deployment and helps reduce costs. It’s clearly resonating with customers and we’re seeing rapid adoption of FortiGate Secure SD-WAN.” Fortinet’s FortiGate Secure SD-WAN solution delivers the functionality provided by pure-play SD-WAN vendors with advanced security built into one single offering. It’s backed by independent testing to deliver excellent quality of experience for voice and video, high VPN throughput and best price/performance. At Fortinet, SD-WAN functionality has been organically developed in-house and is a feature of every FortiGate Next-Generation Firewall. Purpose-built security processors and threat intelligence from FortiGuard Labs further ensure that security is an integral part of Fortinet’s SD-WAN solution.

Read More

Fortinet Introduces New Next-Generation Firewalls

SecurityWeek | February 07, 2019

Fortinet this week announced new FortiGate Next-Generation Firewalls (NGFWs), which help customers improve security through implementing Intent-based Segmentation. The newly announced firewalls, namely FortiGate 3600E, FortiGate 3400E, FortiGate 600E and FortiGate 400E Series, provide a robust security architecture that doesn’t rely on a single enforcement point, the network security firm says. With Intent-based Segmentation, which results in granular access control, continuous trust assessment, end-to-end visibility, and automated threat protection, the new security appliances allow organizations achieve adaptive security by segmenting IT assets, thus having multiple enforcement points. The new FortiGate NGFWs, Fortinet says, are part of its Security Fabric, delivering integrated and consistent security policy across both on-premise and cloud assets. Customized Security Processor Units (SPUs) ensure that full visibility and advanced threat protection are available without performance loss. According to Fortinet, the new solutions can deliver the industry’s highest SSL inspection performance for their class. The FortiGate 3600E Series delivers performance of 30Gbps of threat protection throughput and 34Gbps of throughput with SSL inspection. The FortiGate 3400E Series provides 23Gbps of threat protection and 30Gbps SSL inspection performance, while the FortiGate 600E Series achieves up to 7Gbps of threat protection and 8Gbps SSL inspection performance, and the FortiGate 400E Series can support up to 5Gbps of threat protection and 4.8Gbps of SSL inspection performance.

Read More

Fortinet Introduces Intent-Based Next-Gen Firewalls

SDxCentral | February 06, 2019

Fortinet today released a family of next-generation firewalls that feature intent-based segmentation. The company says that this approach provides organizations with a granular level of security control by matching functionality to specific use cases and business requirements. The four next-generation firewalls in the family are the FortiGate 3600E, the FortiGate 3400E, the FortiGate 600E and the FortiGate 400E. “The thing that’s new here is the support for the different types of segmentation,” ZK Research Principal Analyst Zeus Kerravala told SDxCentral. He said that next-generation firewalls long have been used for segmentation, mostly at the macro and occasionally endpoint levels. The Fortinet platform adds micro and application/process segmentation. This means that separate platforms are not necessary to perform these tasks. Fortinet, which has been on a good run lately, has taken segmentation a step further. The idea is that different levels of security are needed in different scenarios. Fortinet’s next-generation firewalls enable this. “The other thing that’s new here is ‘Intent based’ segmentation where customers can align their segmentation strategy with business intent,” Kerravala wrote in an email. “For example, the business may want to tier cloud access and Fortinet will automate [the entire] configuration.” Thus, an organization that needs extra levels of security around financial or medical databases, or in other ways needs to modulate its security posture, can do so efficiently and at comparatively low costs. “Intent-based segmentation allows enterprises to segment flat-networks intelligently in accordance with business outcomes that will achieve improved security posture, mitigate risks, compliance and operational efficiency,” Nirav Shah, Fortinet senior director of network security, told SDxCentral.

Read More

Fortinet Security-First Approach to SD-WAN Continues to Gain Momentum

DQINDIA | January 02, 2019

Fortinet, a global leader in broad, integrated and automated cybersecurity solutions, announced recent customer, partner and market momentum, as well as independent testing results, of its FortiGate Secure SD-WAN solution. Rajesh Maurya, Regional Vice President, India and SAARC at Fortinet says “In today’s threat landscape, security can never be an afterthought in any network deployment. Fortinet’s focused innovations and evolution of best-of-breed SD-WAN with in-built next-generation firewall provides the advanced threat protection necessary for direct internet connectivity. Our philosophy of tightly integrating security and SD-WAN functionality together minimizes management complexity, ensures a safer deployment and helps reduce costs. It’s clearly resonating with customers and we’re seeing rapid adoption of FortiGate Secure SD-WAN.” Fortinet’s FortiGate Secure SD-WAN solution delivers the functionality provided by pure-play SD-WAN vendors with advanced security built into one single offering. It’s backed by independent testing to deliver excellent quality of experience for voice and video, high VPN throughput and best price/performance. At Fortinet, SD-WAN functionality has been organically developed in-house and is a feature of every FortiGate Next-Generation Firewall. Purpose-built security processors and threat intelligence from FortiGuard Labs further ensure that security is an integral part of Fortinet’s SD-WAN solution.

Read More

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