How Partnering with a Dedicated QA Team Helps Solve These Cybersecurity Domain Pain Points

April 10, 2019 | 55 views

These days, we can’t go more than a month without hearing about a new high-profile cyber attack. Hackers are growing more malicious by the day, and it seems that almost no company—no matter how big—is safe from their tactics. Huge advancements have been made in ensuring the security of products in sensitive domains, like the healthcare, financial, and legal spaces, but cybersecurity companies need to be more vigilant than ever to fend off new, even more advanced attacks.

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Column Technologies

Established in 1998, Column Technologies is a global technology and software provider specializing in business service and process management for public and commercial markets. Column's success comes from long-term relationships, aligning goals with its customers, and a collaborative approach that integrates people, process, technology, and support.

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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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SOFTWARE

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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AI TECH

Language Models: Emerging Types and Why They Matter

Article | July 20, 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

Column Technologies

Established in 1998, Column Technologies is a global technology and software provider specializing in business service and process management for public and commercial markets. Column's success comes from long-term relationships, aligning goals with its customers, and a collaborative approach that integrates people, process, technology, and support.

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SOFTWARE

BlackBerry Jarvis 2.0 Is Released to Address the Expanding Global Embedded Cybersecurity Landscape

BlackBerry | July 27, 2021

BlackBerry Limited today announced the availability of BlackBerry Jarvis 2.0, the company's premier software composition analysis tool. BlackBerry Jarvis 2.0 introduces a SaaS version of the original Jarvis capabilities, providing developers and integrators with a more user-friendly, focused feature set centred on the three most important areas that those developing mission-critical applications must validate to ensure the quality of their multi-tiered software supply chain: Open-source Software (OSS), Common Vulnerabilities, and Exposurability. BlackBerry Jarvis 2.0, designed to address the increasing complexity and growing cybersecurity threats among multi-tiered software supply chains in the medical, automotive, and aerospace industries, enables OEMs to inspect the provenance of their code and every single software asset that comes into their overall supply chains to ensure their products are both secure and updated with the most reliant software. With over 150,000 publicly reported vulnerabilities as of mid-July 2021, creating software for a contemporary automobile is significantly easier said than done. Hundreds of third-party software modules may be included in a complicated piece of software for a vehicle entertainment system. Failure to examine and update each piece of software leaves vulnerabilities accessible for hackers to exploit. BlackBerry Jarvis 2.0 addresses the requirement to discover and remediate vulnerabilities by recognising them and then offering meaningful actionable insights in minutes - something that would otherwise need human scanning, which would require a huge number of experts and an inordinate amount of time. "A number of cybersecurity legislative developments and standards, such as UNECE WP.29 and SBOM, are on the horizon, which will allow authorities to charge penalties or shut down operations totally for noncompliance." "As a result, the moment has come for OEMs to get control of their whole code base," stated Adam Boulton, Chief Technology Officer, BlackBerry Technology Solutions. "Don't stand by and watch as a bad actor exploits a vulnerability that could have far-reaching implications." With the release of BlackBerry Jarvis 2.0, embedded software developers and integrators now have an easy-to-use and dependable software composition analysis tool to assist them in meeting their cybersecurity objectives with efficiency and confidence. "Securing embedded devices at the firmware layer is becoming an essential aspect of device security management as software supply chains get more complicated and cyberattacks become more sophisticated. BlackBerry has transformed years of knowledge and experience in embedded device security into an excellent, feature-rich tool for software binary analysis with Jarvis 2.0." - Hiten Shah, Senior Analyst, Frost & Sullivan's TechVision About BlackBerry BlackBerry is a global provider of sophisticated security software and services to businesses and governments. The company protects over 500 million endpoints, including 195 million cars. The company, based in Waterloo, Ontario, uses AI and machine learning to create new solutions in the fields of cybersecurity, safety, and data privacy, and is a leader in endpoint security, endpoint management, encryption, and embedded systems. BlackBerry's aim is simple: to ensure a connected future you can rely on.

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CyberArk Announces Second Quarter 2020 Results

CyberArk | August 04, 2020

CyberArk, the global leader in privileged access management, today announced financial results for the second quarter ended June 30, 2020. “We were pleased to deliver results ahead of all guided metrics for the second quarter,” said Udi Mokady, CyberArk Chairman and CEO. “The integration of our Idaptive acquisition is progressing well and the feedback from customers and partners has been positive. Our SaaS solutions are gaining momentum resulting in record SaaS bookings in the second quarter, contributing to our strong 30 percent deferred revenue growth. While SaaS acceleration results in a short-term revenue headwind, the recurring revenue base creates significant longer-term value for both our customers and CyberArk. It was a very active quarter overall with the impact from the global pandemic confined to new business progression, which was in line with our expectations. Cybersecurity market fundamentals remain strong, identity security is at the top of customers’ priority lists, and our pipeline growth is robust. We are confident that we are positioned to accelerate growth as the overall business environment stabilizes.”

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CyberArk Named a Leader in Gartner 2020 Magic Quadrant for Privileged Access Management

CyberArk | August 10, 2020

CyberArk, today announced it was named a Leader in the Gartner 2020 Magic Quadrant for Privileged Access Management1, positioned both highest in ability to execute and furthest in completeness of vision for the second time in a row. CyberArk delivers the most comprehensive solution for protecting privileged accounts, credentials and secrets associated with humans, applications and machines across cloud and hybrid environments. As the global leader in privileged access management, CyberArk enables organizations of all sizes to reduce risk, improve operational efficiency and securely adopt modern technologies and infrastructure, including cloud, DevOps and process automation, to transform their business.

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SOFTWARE

BlackBerry Jarvis 2.0 Is Released to Address the Expanding Global Embedded Cybersecurity Landscape

BlackBerry | July 27, 2021

BlackBerry Limited today announced the availability of BlackBerry Jarvis 2.0, the company's premier software composition analysis tool. BlackBerry Jarvis 2.0 introduces a SaaS version of the original Jarvis capabilities, providing developers and integrators with a more user-friendly, focused feature set centred on the three most important areas that those developing mission-critical applications must validate to ensure the quality of their multi-tiered software supply chain: Open-source Software (OSS), Common Vulnerabilities, and Exposurability. BlackBerry Jarvis 2.0, designed to address the increasing complexity and growing cybersecurity threats among multi-tiered software supply chains in the medical, automotive, and aerospace industries, enables OEMs to inspect the provenance of their code and every single software asset that comes into their overall supply chains to ensure their products are both secure and updated with the most reliant software. With over 150,000 publicly reported vulnerabilities as of mid-July 2021, creating software for a contemporary automobile is significantly easier said than done. Hundreds of third-party software modules may be included in a complicated piece of software for a vehicle entertainment system. Failure to examine and update each piece of software leaves vulnerabilities accessible for hackers to exploit. BlackBerry Jarvis 2.0 addresses the requirement to discover and remediate vulnerabilities by recognising them and then offering meaningful actionable insights in minutes - something that would otherwise need human scanning, which would require a huge number of experts and an inordinate amount of time. "A number of cybersecurity legislative developments and standards, such as UNECE WP.29 and SBOM, are on the horizon, which will allow authorities to charge penalties or shut down operations totally for noncompliance." "As a result, the moment has come for OEMs to get control of their whole code base," stated Adam Boulton, Chief Technology Officer, BlackBerry Technology Solutions. "Don't stand by and watch as a bad actor exploits a vulnerability that could have far-reaching implications." With the release of BlackBerry Jarvis 2.0, embedded software developers and integrators now have an easy-to-use and dependable software composition analysis tool to assist them in meeting their cybersecurity objectives with efficiency and confidence. "Securing embedded devices at the firmware layer is becoming an essential aspect of device security management as software supply chains get more complicated and cyberattacks become more sophisticated. BlackBerry has transformed years of knowledge and experience in embedded device security into an excellent, feature-rich tool for software binary analysis with Jarvis 2.0." - Hiten Shah, Senior Analyst, Frost & Sullivan's TechVision About BlackBerry BlackBerry is a global provider of sophisticated security software and services to businesses and governments. The company protects over 500 million endpoints, including 195 million cars. The company, based in Waterloo, Ontario, uses AI and machine learning to create new solutions in the fields of cybersecurity, safety, and data privacy, and is a leader in endpoint security, endpoint management, encryption, and embedded systems. BlackBerry's aim is simple: to ensure a connected future you can rely on.

Read More

CyberArk Announces Second Quarter 2020 Results

CyberArk | August 04, 2020

CyberArk, the global leader in privileged access management, today announced financial results for the second quarter ended June 30, 2020. “We were pleased to deliver results ahead of all guided metrics for the second quarter,” said Udi Mokady, CyberArk Chairman and CEO. “The integration of our Idaptive acquisition is progressing well and the feedback from customers and partners has been positive. Our SaaS solutions are gaining momentum resulting in record SaaS bookings in the second quarter, contributing to our strong 30 percent deferred revenue growth. While SaaS acceleration results in a short-term revenue headwind, the recurring revenue base creates significant longer-term value for both our customers and CyberArk. It was a very active quarter overall with the impact from the global pandemic confined to new business progression, which was in line with our expectations. Cybersecurity market fundamentals remain strong, identity security is at the top of customers’ priority lists, and our pipeline growth is robust. We are confident that we are positioned to accelerate growth as the overall business environment stabilizes.”

Read More

CyberArk Named a Leader in Gartner 2020 Magic Quadrant for Privileged Access Management

CyberArk | August 10, 2020

CyberArk, today announced it was named a Leader in the Gartner 2020 Magic Quadrant for Privileged Access Management1, positioned both highest in ability to execute and furthest in completeness of vision for the second time in a row. CyberArk delivers the most comprehensive solution for protecting privileged accounts, credentials and secrets associated with humans, applications and machines across cloud and hybrid environments. As the global leader in privileged access management, CyberArk enables organizations of all sizes to reduce risk, improve operational efficiency and securely adopt modern technologies and infrastructure, including cloud, DevOps and process automation, to transform their business.

Read More

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