The Year Ahead: Cybersecurity Predictions for 2019

BOB ERDMAN | January 3, 2019 | 60 views

A new year is upon us, and 2019 looks to be just as exciting as 2018, with ample opportunities for organizations to improve their security stance. Cybersecurity teams and experts will continue to fight some familiar foes that have caused trouble over the past few years, as well as new threats that may also come to the fore. Read on to find out what challenges are in store for 2019, in addition to a few bright spots on the horizon.

Spotlight

StraViso

StraViso is an AI driven hyper automation SaaS company - serving large enterprise, delivering accelerated business value to its customers, through unmatched combination of information, innovation, and technology expertise.

OTHER ARTICLES
SOFTWARE

AI's Impact on Improving Customer Experience

Article | July 13, 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.

Read More
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.

Read More
SOFTWARE

Language Models: Emerging Types and Why They Matter

Article | August 2, 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.

Read More
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.

Read More

Spotlight

StraViso

StraViso is an AI driven hyper automation SaaS company - serving large enterprise, delivering accelerated business value to its customers, through unmatched combination of information, innovation, and technology expertise.

Related News

AT&T Launches New Cybersecurity Division, Joins Global Telco Security Alliance

SDxCentral | March 07, 2019

AT&T announced a new standalone security division, AT&T Cybersecurity, at this week’s RSA Conference. It combines technology and threat intelligence from Alien Vault, which the operator acquired last year, and AT&T’s security consulting and managed services. Also this week, AT&T became the first North American operator to join the Global Telco Security Alliance. The group, which was launched last year by Etisalat, Singtel, SoftBank, and Telefónica, shares threat intelligence and security best practices in an effort to help telcos protect their customers from cyberattacks. AT&T joined as a founding member. “Threat intelligence will continue to be a core of what we do,” said Sanjay Ramnath, assistant vice president of product marketing for AT&T Cybersecurity, in an interview at RSA. “We already have a really strong history of collaborating with the community and making our intelligence data available to our customers and sharing with the larger community.” When asked if he expects AT&T’s move to spur other North American carriers to join the Global Telco Security Alliance, he said “I hope so. If we can be an inspiration for the others to participate then we’re doing a good job.” Ramnath joined AT&T through the AlienVault purchase. Merging the two companies into a new AT&T division “has a very unique value proposition that can be articulated from three pillars,” he said. “The first pillar is phenomenal threat intelligence.” Alien Labs Threat Intel: Even before joining AT&T, AlienVault was perhaps best known for creating the Open Threat Exchange. Today, the open community has more than 100,000 participants across the globe. These researchers and security experts collaborate and deliver community-generated threat data that helps companies keep on top of the latest security threats.

Read More

MassCyberCenter Says State Faces Increased Threats

Infosecurity Magazine | March 01, 2019

The state of Massachusetts is reportedly facing increased cyber threats from adversaries who are trying to steal sensitive information, according to the Gloucester Daily Times. In an interview with Stephanie Helm, director of the MassCyberCenter, State House reporter Christian M. Wade learned that the state’s computer systems as well as Massachusetts businesses and individuals are at risk due to increased cyber threats. "The threat is very real, and anything that is computer-based is vulnerable to exploitation," Helm told the Gloucester Daily Times. "The severity of the threats depend on the adversary and their objective. Sometimes they want your information, sometimes they want your money." "We have a lot of very unique intellectual property in Massachusetts that we need to do our best to protect," she said. "We've also got a lot of big corporations, and their livelihood is based on strong cybersecurity." Part of the Massachusetts Technology Collaborative, the MassCyberCenter is an initiative to improve cyber-resiliency and strengthen the cybersecurity ecosystem in Massachusetts. Developed two years ago, the center's mission is to "enhance conditions for economic growth through outreach to the cybersecurity ecosystem of Massachusetts while fostering cybersecurity resiliency within the Commonwealth," according to its website. Lofty goals for a team of two: director Helm and Meg Speranza, resiliency program manager. "Consistent with the efforts that Governor Baker announced in his 2017 State-of-the-State address, Massachusetts has made combatting advanced cyber threats a priority," said Michael Figueroa, executive director, Advanced Cyber Security Center.

Read More

Rapid7 Releases Metasploit 5.0

SecurityWeek | January 11, 2019

Rapid7 on Friday announced the release of Metasploit 5.0. The latest major version of the popular penetration testing framework introduces several new important features, improved performance, and its developers say it should be easier to use. According to Rapid7, Metasploit 5.0 brings significant changes in terms of database and automation APIs, improving the way the platform interacts with data and other tools. Metasploit has been using the PostgreSQL database system, but the latest version also allows users to run the database as a RESTful service, enabling interaction with Metasploit consoles and external tools. There is also a new JSON-RPC API that should make it easier to integrate the framework with new tools and languages. In addition, Metasploit’s own automation protocol is now complemented by a common web service framework for the database and automation APIs. Another significant improvement in Metasploit 5.0 is related to evasion modules and libraries. Penetration testers can now generate their own evasion modules more easily using the C programming language. The latest version also enables the execution of an exploit module against multiple targets at a time.

Read More

AT&T Launches New Cybersecurity Division, Joins Global Telco Security Alliance

SDxCentral | March 07, 2019

AT&T announced a new standalone security division, AT&T Cybersecurity, at this week’s RSA Conference. It combines technology and threat intelligence from Alien Vault, which the operator acquired last year, and AT&T’s security consulting and managed services. Also this week, AT&T became the first North American operator to join the Global Telco Security Alliance. The group, which was launched last year by Etisalat, Singtel, SoftBank, and Telefónica, shares threat intelligence and security best practices in an effort to help telcos protect their customers from cyberattacks. AT&T joined as a founding member. “Threat intelligence will continue to be a core of what we do,” said Sanjay Ramnath, assistant vice president of product marketing for AT&T Cybersecurity, in an interview at RSA. “We already have a really strong history of collaborating with the community and making our intelligence data available to our customers and sharing with the larger community.” When asked if he expects AT&T’s move to spur other North American carriers to join the Global Telco Security Alliance, he said “I hope so. If we can be an inspiration for the others to participate then we’re doing a good job.” Ramnath joined AT&T through the AlienVault purchase. Merging the two companies into a new AT&T division “has a very unique value proposition that can be articulated from three pillars,” he said. “The first pillar is phenomenal threat intelligence.” Alien Labs Threat Intel: Even before joining AT&T, AlienVault was perhaps best known for creating the Open Threat Exchange. Today, the open community has more than 100,000 participants across the globe. These researchers and security experts collaborate and deliver community-generated threat data that helps companies keep on top of the latest security threats.

Read More

MassCyberCenter Says State Faces Increased Threats

Infosecurity Magazine | March 01, 2019

The state of Massachusetts is reportedly facing increased cyber threats from adversaries who are trying to steal sensitive information, according to the Gloucester Daily Times. In an interview with Stephanie Helm, director of the MassCyberCenter, State House reporter Christian M. Wade learned that the state’s computer systems as well as Massachusetts businesses and individuals are at risk due to increased cyber threats. "The threat is very real, and anything that is computer-based is vulnerable to exploitation," Helm told the Gloucester Daily Times. "The severity of the threats depend on the adversary and their objective. Sometimes they want your information, sometimes they want your money." "We have a lot of very unique intellectual property in Massachusetts that we need to do our best to protect," she said. "We've also got a lot of big corporations, and their livelihood is based on strong cybersecurity." Part of the Massachusetts Technology Collaborative, the MassCyberCenter is an initiative to improve cyber-resiliency and strengthen the cybersecurity ecosystem in Massachusetts. Developed two years ago, the center's mission is to "enhance conditions for economic growth through outreach to the cybersecurity ecosystem of Massachusetts while fostering cybersecurity resiliency within the Commonwealth," according to its website. Lofty goals for a team of two: director Helm and Meg Speranza, resiliency program manager. "Consistent with the efforts that Governor Baker announced in his 2017 State-of-the-State address, Massachusetts has made combatting advanced cyber threats a priority," said Michael Figueroa, executive director, Advanced Cyber Security Center.

Read More

Rapid7 Releases Metasploit 5.0

SecurityWeek | January 11, 2019

Rapid7 on Friday announced the release of Metasploit 5.0. The latest major version of the popular penetration testing framework introduces several new important features, improved performance, and its developers say it should be easier to use. According to Rapid7, Metasploit 5.0 brings significant changes in terms of database and automation APIs, improving the way the platform interacts with data and other tools. Metasploit has been using the PostgreSQL database system, but the latest version also allows users to run the database as a RESTful service, enabling interaction with Metasploit consoles and external tools. There is also a new JSON-RPC API that should make it easier to integrate the framework with new tools and languages. In addition, Metasploit’s own automation protocol is now complemented by a common web service framework for the database and automation APIs. Another significant improvement in Metasploit 5.0 is related to evasion modules and libraries. Penetration testers can now generate their own evasion modules more easily using the C programming language. The latest version also enables the execution of an exploit module against multiple targets at a time.

Read More

Events