Home > News > featured news > Verimatrix Launches New Cybersecurity Microsite, VMX Labs and Enhanced User Experience for Extended Threat Defense

Data Security, Enterprise Security, Web Security Tools

Verimatrix Launches New Cybersecurity Microsite, VMX Labs and Enhanced User Experience for Extended Threat Defense

Businesswire | April 10, 2023 | Read time : 05:00 min

Verimatrix Launches New Cybersecurity Microsite, VMX Labs and Enhanced

Verimatrix, (Euronext Paris: VMX) (Paris:VMX), the leader in powering the modern connected world with people-centered security, today announced its launch of a new cybersecurity microsite (verimatrixcybersecurity.com), a new UX for its Extended Threat Defense (XTD) product, and a new VMX Labs research team offering cyber threat advisories and insights.

“I am excited to unveil a new UX for our cybersecurity product, Extended Threat Defense, along with new services from Verimatrix to help our customers secure their mobile app ecosystems, and rapidly detect and respond to threats – including zero day attacks,” said Asaf Ashkenazi, CEO at Verimatrix. “Today, most companies interact with their customers via mobile applications. If that app is compromised, the connection between the company and their customers is at risk. Verimatrix XTD protects the connection of businesses to their consumers -- and there is nothing more important than that.”

Just this year, large mobile-app breaches made headlines through their new use of overlay attacks within mobile app attacks, leading users to believe they were interacting with legitimate apps when they’re really arming bad actors with sensitive information and even their personal banking details.

CISOs, SOC teams, fraud departments and developers can now turn to VerimatrixCybersecurity.com for the latest information surrounding mobile app security and the extended ecosystem of connected devices and lurking threats.

Today’s launch includes:

  • New cybersecurity microsite – Verimatrix also launched VerimatrixCybersecurity.com to offer a centralized destination and resource center for its XTD cloud platform. The microsite includes a host of new resources, including videos and white papers.
  • New VMX Labs – Led by Klaus Schenk, Verimatrix’s senior vice president of security and threat research, VMX Labs aims to provide ongoing cyber threat advisories, as well as insights and commentary from VMX Lab team members who investigate threat types and information helpful to application developers and even users.
  • New Product UX for Verimatrix XTD - Verimatrix delivers an amazing new user experience for its Extended Threat Defense product; a revamped UX and design that allows customers to more easily prevent, detect, respond and predict threats to mobile applications and the devices that connect to the critical infrastructure. The company has expanded its detection capabilities to the network, in addition to the application and device data. New capabilities include the ability to access network risk per application to protect the connection to the company’s critical infrastructure, and this is all available now.

About Verimatrix

Verimatrix (Euronext Paris: VMX) helps power the modern connected world with security made for people. We protect digital content, applications, and devices with intuitive, people-centered, and frictionless security. Leading brands turn to Verimatrix to secure everything from premium movies and live streaming sports to sensitive financial and healthcare data, and mission-critical mobile applications. We enable the trusted connections our customers depend on to deliver compelling content and experiences to millions of consumers around the world. Verimatrix helps partners get to market faster, scale easily, protect valuable revenue streams, and win new business. Visit www.verimatrix.com and www.verimatrixcybersecurity.com

Spotlight

Disrupt Counterfeit Threats

Counterfeit threats, such as fraudulent ads and look-alike domains, are on the rise especially with the expansion of e-commerce and online consumer-to-business interaction. However, the collection and mitigation of counterfeit activity can be complicated. Prioritizing relationships with platforms and providers along with collect

More featured news

Spotlight

Disrupt Counterfeit Threats

Counterfeit threats, such as fraudulent ads and look-alike domains, are on the rise especially with the expansion of e-commerce and online consumer-to-business interaction. However, the collection and mitigation of counterfeit activity can be complicated. Prioritizing relationships with platforms and providers along with collect

Related News

Data Security, Platform Security, Software Security

Laminar Adds SaaS and Deepens Data Warehouse Support for its Data Security Platform

Businesswire | July 20, 2023

Laminar, the leading agile data security platform provider, today announced it has added Microsoft SharePoint Online and Google BigQuery to its existing support for Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Snowflake. The additions make the Laminar Data Security Platform the first and only cloud-native data security solution to support all major cloud service providers (CSPs), leading data warehouses, and common software-as-a-service (SaaS) applications used by today’s top enterprises. The cloud’s limitless potential is rooted in the data that an organization has, and what they do with it. To power innovation, 94% of enterprises use cloud services and applications. Microsoft SharePoint is the third most popular enterprise application, with 65% of its users adopting the cloud version, SharePoint Online. Employees routinely collaborate on shared content, and developers work with it as well to automate business processes, track progress, and share information across departments or with partners. Similarly, Google BigQuery is one of the top three data warehouse solutions. It is a powerful analytics platform that excels at processing and analyzing massive volumes of data quickly and efficiently. With its scalable architecture and advanced querying capabilities, BigQuery enables organizations to gain valuable insights from their data in real time, empowering data-driven decision-making and accelerating business growth. Both solutions enable developers, data scientists, and other innovators to be creative and extract the maximum value from their operational data. For instance, business intelligence staff may use these tools to analyze customer purchase patterns or sales trends, while data scientists may look out for hidden associations within the data to inform new strategies. Unfortunately, these same activities also open organizations up to significant risk by generating unknown or “shadow” data — a top concern for 93% of data security and governance professionals. Data security needs to be agnostic to the infrastructure in which data resides. Security posture must also travel with the data, as it moves through the cloud and the related data warehouses and applications. By adding support for Microsoft SharePoint Online and Google BigQuery, customers using the Laminar Data Security Platform can now discover, classify, and secure data in even more environments. Thus, data security and governance teams can see and secure their organizations’ data consistently across the entire digital landscape. "Data security is different, and more challenging in the cloud. Shadow data is everywhere and data security pros want to know where their sensitive data is, how it is accessed, used, and protected. Whether its structured, unstructured, managed, in SaaS, data warehouse, or embedded database” said Amit Shaked, CEO and Co-Founder, Laminar. “They are not experts in SaaS/PaaS/IaaS and certainly not individual data storage services. They want visibility into all their cloud data from a single source. Our continued support for the diversity of cloud environments, including now SaaS, means customers can have a unified, consistent approach to data security.” The news continues Laminar’s ongoing product innovation, following the announcement of support for GCP and Snowflake, as well as data detection and response (DDR) and data access governance (DAG) capabilities. About Laminar Laminar is the leading agile data security platform and provides organizations with the visibility and control they need to achieve data security, governance, and privacy in the cloud. Our cloud-native data security solution continuously discovers and classifies all cloud data, structured and unstructured, across managed and self-hosted data stores, including unknown shadow data, without the data ever leaving your environment. It analyzes access, usage patterns, and security posture, and provides actionable, guided remediation for data security risk. Laminar connects to your multi-cloud environment including AWS, Azure, GCP, Snowflake, BigQuery and SaaS applications via APIs and is agentless, asynchronous, and completely autonomous.

Read More

Data Security, Platform Security, Software Security

Immuta Unveils Platform Updates to Simplify Data Security and Monitoring in Snowflake

Businesswire | June 30, 2023

Immuta, a data security leader, today announced at Snowflake’s annual user conference, Snowflake Summit 2023, the launch of its latest platform enhancements to deliver simplified data security and monitoring in Snowflake so that joint customers can unlock more value, reduce costs, and speed up innovation. These new features include strengthened data mesh support, enhanced security for AI workloads in Snowpark, and advanced Data Security Posture Management (DSPM). The partnership between Immuta and Snowflake continues to have strong momentum, fueled by the growing adoption of their solutions at organizations across industries, including JB Hunt, Roche, and Thomson Reuters. In the last year, Snowflake has awarded Immuta with competency recognitions in the Healthcare & Life Sciences and Financial Services sectors. Earlier this week at Snowflake Summit, Immuta was also presented with the prestigious Data Security Partner of the Year Award by Snowflake. "Immuta has been pivotal in mitigating risk and optimizing operational efficiencies, allowing us to support self-service analytics and distributed data stewardship. We are innovating more and worrying less about security," said Paul Rankin, Head of Data Management Platforms at Roche. “As data volumes and AI-initiatives expand in the cloud, and more data teams adopt data mesh architectures, so too does the attack and risk surface,” said Steve Touw, CTO, Immuta. “As we extend our leadership in the data security category, we continue to collaborate with Snowflake to ensure our joint users can access their data securely at scale and continuously monitor usage to ensure security and compliance.” Securely Deploy New Data Products With Data Mesh Data mesh architectures promote decentralized data ownership to facilitate data management and help data owners build scalable and secure data-as-a-service products. However, the decentralized nature of a data mesh makes consistent data access control and policy enforcement difficult for organizations to manage at scale. Data mesh relies on four key pillars – domain-centric ownership and architecture, data-as-a-product, self-service data platform, and federated computational governance. Immuta’s built-in support for federated governance enhances Snowflake’s data governance capabilities to include scoping permissions through logical domain separation. Immuta’s support for data-as-a-product allows for granular permissioning of roles within individual data domains, and helps data owners securely innovate, build and deploy new data products, while eliminating centralized IT bottlenecks and accelerating their data mesh vision. Enhanced Security for AI Workloads in Snowpark Organizations are leveraging AI and ML to build advanced data science solutions for fraud detection, sentiment analysis, next-best-offer, predictive maintenance, and more. These solutions access a variety of data with speed and organizations must ensure the data is protected and in compliance with usage requirements. By leveraging Immuta, organizations can now enforce access controls and maintain compliance to effectively safeguard their data and AI workloads accessed via Snowpark. Advanced Data Security Posture Management with Immuta Detect Data is more available and distributed than ever, however the likelihood of a data breach is also at an all time high. In response, Data Security Posture Management (DSPM) has emerged as a new category of solutions aimed at discovering and mapping data flows and repositories to address new cloud data security and privacy challenges. Immuta Detect, now available to Snowflake customers, provides timely insights into data access, user activity and data controls, enabling data security posture management and risk remediation with the Immuta Data Security Platform. Users can now view a continuous data security posture management dashboard that shows a concise overview of data access insights, increasing awareness of attack indicators and risk vectors so that security teams can take action to improve data security. In addition, Immuta’s new Dynamic Query Classification (DQC) automatically classifies queries according to content and sensitivity level to provide security teams with better insight into what sensitive data is being accessed from unanticipated data combinations that are breaching confidentiality and potentially being exfiltrated. “Customers rely on Snowflake to maximize the value of their data, and to do so they’re building new architectures like data mesh and supporting new use cases using AI. To accomplish these initiatives, the data must be secured and security teams must have visibility into how the data is used in order to ensure compliance,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “Immuta is a key data security partner, and we’re thrilled to work with them as they roll out these new capabilities to provide great customer experiences.” Learn more about Immuta and Snowflake’s partnership here. Be sure to check out the Snowflake Summit 2023 keynotes live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter. About Immuta Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. The Immuta Data Security Platform provides sensitive data discovery, security and access control, data activity monitoring, and has deep integrations with the leading cloud data platforms. Immuta is now trusted by Fortune 500 companies and government agencies around the world to secure their data. Founded in 2015, Immuta is headquartered in Boston, MA.

Read More

Enterprise Security

OpenAI Announces ChatGPT Enterprise for Business Needs

OpenAI | September 07, 2023

OpenAI unveils ChatGPT Enterprise, which provides businesses with enterprise-grade advanced capabilities. ChatGPT Enterprise offers a brand-new administrator portal with tools to manage how employees utilize ChatGPT within an organization. The launch of ChatGPT Enterprise coincides with intensifying competition in the chatbot domain with companies such as OpenAI, Google, Microsoft, and Anthropic. According to OpenAI, artificial intelligence can enhance numerous aspects of professional lives and increase team creativity and productivity. This represents an important milestone in the development of an AI assistant for the workplace that can help with any task, which is tailored to business needs and protects sensitive information. OpenAI, an industry-leading AI research and deployment organization that conducts research and implements machine learning (ML), announced the introduction of ChatGPT Enterprise. The latest product offers enterprise-grade protection and privacy, extended context windows for processing longer inputs, limitless higher-speed GPT-4 access, customization possibilities, additional data analysis capabilities, and much more. ChatGPT Enterprise introduces an all-new admin portal equipped with essential tools for managing and controlling ChatGPT's usage within a company. These tools include domain verification integrations, single sign-on integrations, and a user-friendly dashboard packed with usage statistics. Employees can leverage ChatGPT to streamline internal processes and construct internal workflow through easily shareable discussion templates. Additionally, businesses have the option to tailor ChatGPT-powered solutions to their specific needs by utilizing credits on OpenAI's API platform. OpenAI’s latest product grants users unrestricted access to an advanced data analysis feature previously known as Code Interpreter. This capability empowers ChatGPT to proficiently analyze data, solve mathematical problems, create charts, and perform a range of other tasks. Both ChatGPT Plus and ChatGPT Enterprise operate on the powerful GPT-4, OpenAI's cutting-edge AI model. However, ChatGPT Enterprise customers enjoy priority access to GPT-4, which boasts twice the speed of the standard GPT-4 model and an expanded context window that accommodates up to 32,000 tokens, equivalent to approximately 25,000 words. The introduction of ChatGPT Enterprise overlaps with intensifying competition in the chatbot sector. OpenAI, Google, Microsoft, and Anthropic are engaged in an intense AI arms competition. In addition to releasing new chatbot applications, their objective is to introduce innovative features that encourage the widespread adoption of generative AI in daily operations. Google and Microsoft, for example, are continuously refining their respective Bard and Bing chatbots with innovative features such as visual search. In the meantime, Anthropic, an AI startup founded by former OpenAI executives, has made a splash with its AI chatbot, Claude 2.

Read More

Data Security, Platform Security, Software Security

Laminar Adds SaaS and Deepens Data Warehouse Support for its Data Security Platform

Businesswire | July 20, 2023

Laminar, the leading agile data security platform provider, today announced it has added Microsoft SharePoint Online and Google BigQuery to its existing support for Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Snowflake. The additions make the Laminar Data Security Platform the first and only cloud-native data security solution to support all major cloud service providers (CSPs), leading data warehouses, and common software-as-a-service (SaaS) applications used by today’s top enterprises. The cloud’s limitless potential is rooted in the data that an organization has, and what they do with it. To power innovation, 94% of enterprises use cloud services and applications. Microsoft SharePoint is the third most popular enterprise application, with 65% of its users adopting the cloud version, SharePoint Online. Employees routinely collaborate on shared content, and developers work with it as well to automate business processes, track progress, and share information across departments or with partners. Similarly, Google BigQuery is one of the top three data warehouse solutions. It is a powerful analytics platform that excels at processing and analyzing massive volumes of data quickly and efficiently. With its scalable architecture and advanced querying capabilities, BigQuery enables organizations to gain valuable insights from their data in real time, empowering data-driven decision-making and accelerating business growth. Both solutions enable developers, data scientists, and other innovators to be creative and extract the maximum value from their operational data. For instance, business intelligence staff may use these tools to analyze customer purchase patterns or sales trends, while data scientists may look out for hidden associations within the data to inform new strategies. Unfortunately, these same activities also open organizations up to significant risk by generating unknown or “shadow” data — a top concern for 93% of data security and governance professionals. Data security needs to be agnostic to the infrastructure in which data resides. Security posture must also travel with the data, as it moves through the cloud and the related data warehouses and applications. By adding support for Microsoft SharePoint Online and Google BigQuery, customers using the Laminar Data Security Platform can now discover, classify, and secure data in even more environments. Thus, data security and governance teams can see and secure their organizations’ data consistently across the entire digital landscape. "Data security is different, and more challenging in the cloud. Shadow data is everywhere and data security pros want to know where their sensitive data is, how it is accessed, used, and protected. Whether its structured, unstructured, managed, in SaaS, data warehouse, or embedded database” said Amit Shaked, CEO and Co-Founder, Laminar. “They are not experts in SaaS/PaaS/IaaS and certainly not individual data storage services. They want visibility into all their cloud data from a single source. Our continued support for the diversity of cloud environments, including now SaaS, means customers can have a unified, consistent approach to data security.” The news continues Laminar’s ongoing product innovation, following the announcement of support for GCP and Snowflake, as well as data detection and response (DDR) and data access governance (DAG) capabilities. About Laminar Laminar is the leading agile data security platform and provides organizations with the visibility and control they need to achieve data security, governance, and privacy in the cloud. Our cloud-native data security solution continuously discovers and classifies all cloud data, structured and unstructured, across managed and self-hosted data stores, including unknown shadow data, without the data ever leaving your environment. It analyzes access, usage patterns, and security posture, and provides actionable, guided remediation for data security risk. Laminar connects to your multi-cloud environment including AWS, Azure, GCP, Snowflake, BigQuery and SaaS applications via APIs and is agentless, asynchronous, and completely autonomous.

Read More

Data Security, Platform Security, Software Security

Immuta Unveils Platform Updates to Simplify Data Security and Monitoring in Snowflake

Businesswire | June 30, 2023

Immuta, a data security leader, today announced at Snowflake’s annual user conference, Snowflake Summit 2023, the launch of its latest platform enhancements to deliver simplified data security and monitoring in Snowflake so that joint customers can unlock more value, reduce costs, and speed up innovation. These new features include strengthened data mesh support, enhanced security for AI workloads in Snowpark, and advanced Data Security Posture Management (DSPM). The partnership between Immuta and Snowflake continues to have strong momentum, fueled by the growing adoption of their solutions at organizations across industries, including JB Hunt, Roche, and Thomson Reuters. In the last year, Snowflake has awarded Immuta with competency recognitions in the Healthcare & Life Sciences and Financial Services sectors. Earlier this week at Snowflake Summit, Immuta was also presented with the prestigious Data Security Partner of the Year Award by Snowflake. "Immuta has been pivotal in mitigating risk and optimizing operational efficiencies, allowing us to support self-service analytics and distributed data stewardship. We are innovating more and worrying less about security," said Paul Rankin, Head of Data Management Platforms at Roche. “As data volumes and AI-initiatives expand in the cloud, and more data teams adopt data mesh architectures, so too does the attack and risk surface,” said Steve Touw, CTO, Immuta. “As we extend our leadership in the data security category, we continue to collaborate with Snowflake to ensure our joint users can access their data securely at scale and continuously monitor usage to ensure security and compliance.” Securely Deploy New Data Products With Data Mesh Data mesh architectures promote decentralized data ownership to facilitate data management and help data owners build scalable and secure data-as-a-service products. However, the decentralized nature of a data mesh makes consistent data access control and policy enforcement difficult for organizations to manage at scale. Data mesh relies on four key pillars – domain-centric ownership and architecture, data-as-a-product, self-service data platform, and federated computational governance. Immuta’s built-in support for federated governance enhances Snowflake’s data governance capabilities to include scoping permissions through logical domain separation. Immuta’s support for data-as-a-product allows for granular permissioning of roles within individual data domains, and helps data owners securely innovate, build and deploy new data products, while eliminating centralized IT bottlenecks and accelerating their data mesh vision. Enhanced Security for AI Workloads in Snowpark Organizations are leveraging AI and ML to build advanced data science solutions for fraud detection, sentiment analysis, next-best-offer, predictive maintenance, and more. These solutions access a variety of data with speed and organizations must ensure the data is protected and in compliance with usage requirements. By leveraging Immuta, organizations can now enforce access controls and maintain compliance to effectively safeguard their data and AI workloads accessed via Snowpark. Advanced Data Security Posture Management with Immuta Detect Data is more available and distributed than ever, however the likelihood of a data breach is also at an all time high. In response, Data Security Posture Management (DSPM) has emerged as a new category of solutions aimed at discovering and mapping data flows and repositories to address new cloud data security and privacy challenges. Immuta Detect, now available to Snowflake customers, provides timely insights into data access, user activity and data controls, enabling data security posture management and risk remediation with the Immuta Data Security Platform. Users can now view a continuous data security posture management dashboard that shows a concise overview of data access insights, increasing awareness of attack indicators and risk vectors so that security teams can take action to improve data security. In addition, Immuta’s new Dynamic Query Classification (DQC) automatically classifies queries according to content and sensitivity level to provide security teams with better insight into what sensitive data is being accessed from unanticipated data combinations that are breaching confidentiality and potentially being exfiltrated. “Customers rely on Snowflake to maximize the value of their data, and to do so they’re building new architectures like data mesh and supporting new use cases using AI. To accomplish these initiatives, the data must be secured and security teams must have visibility into how the data is used in order to ensure compliance,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “Immuta is a key data security partner, and we’re thrilled to work with them as they roll out these new capabilities to provide great customer experiences.” Learn more about Immuta and Snowflake’s partnership here. Be sure to check out the Snowflake Summit 2023 keynotes live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter. About Immuta Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. The Immuta Data Security Platform provides sensitive data discovery, security and access control, data activity monitoring, and has deep integrations with the leading cloud data platforms. Immuta is now trusted by Fortune 500 companies and government agencies around the world to secure their data. Founded in 2015, Immuta is headquartered in Boston, MA.

Read More

Enterprise Security

OpenAI Announces ChatGPT Enterprise for Business Needs

OpenAI | September 07, 2023

OpenAI unveils ChatGPT Enterprise, which provides businesses with enterprise-grade advanced capabilities. ChatGPT Enterprise offers a brand-new administrator portal with tools to manage how employees utilize ChatGPT within an organization. The launch of ChatGPT Enterprise coincides with intensifying competition in the chatbot domain with companies such as OpenAI, Google, Microsoft, and Anthropic. According to OpenAI, artificial intelligence can enhance numerous aspects of professional lives and increase team creativity and productivity. This represents an important milestone in the development of an AI assistant for the workplace that can help with any task, which is tailored to business needs and protects sensitive information. OpenAI, an industry-leading AI research and deployment organization that conducts research and implements machine learning (ML), announced the introduction of ChatGPT Enterprise. The latest product offers enterprise-grade protection and privacy, extended context windows for processing longer inputs, limitless higher-speed GPT-4 access, customization possibilities, additional data analysis capabilities, and much more. ChatGPT Enterprise introduces an all-new admin portal equipped with essential tools for managing and controlling ChatGPT's usage within a company. These tools include domain verification integrations, single sign-on integrations, and a user-friendly dashboard packed with usage statistics. Employees can leverage ChatGPT to streamline internal processes and construct internal workflow through easily shareable discussion templates. Additionally, businesses have the option to tailor ChatGPT-powered solutions to their specific needs by utilizing credits on OpenAI's API platform. OpenAI’s latest product grants users unrestricted access to an advanced data analysis feature previously known as Code Interpreter. This capability empowers ChatGPT to proficiently analyze data, solve mathematical problems, create charts, and perform a range of other tasks. Both ChatGPT Plus and ChatGPT Enterprise operate on the powerful GPT-4, OpenAI's cutting-edge AI model. However, ChatGPT Enterprise customers enjoy priority access to GPT-4, which boasts twice the speed of the standard GPT-4 model and an expanded context window that accommodates up to 32,000 tokens, equivalent to approximately 25,000 words. The introduction of ChatGPT Enterprise overlaps with intensifying competition in the chatbot sector. OpenAI, Google, Microsoft, and Anthropic are engaged in an intense AI arms competition. In addition to releasing new chatbot applications, their objective is to introduce innovative features that encourage the widespread adoption of generative AI in daily operations. Google and Microsoft, for example, are continuously refining their respective Bard and Bing chatbots with innovative features such as visual search. In the meantime, Anthropic, an AI startup founded by former OpenAI executives, has made a splash with its AI chatbot, Claude 2.

Read More

More featured news