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Spotlight

sec|zone

A silicon valley security start-up founded by hi-tech entrepreneur Mr. Kevin P. Reddy, providing integrated governance, risk, and compliance (GRC) and proactive internal threat management solutions based on AI neural networks, hybrid data analytics and mining, risk-resilient heuristics and genetic algorithms, machine learning, anomalous behavioral pattern recognition, intent data normalization, and predictive scenario foresight visualization.

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Server Hypervisors

VMware NSX 3.2 Delivers New, Advanced Security Capabilities

Article | May 18, 2023

It’s an impactful release focused on significant NSX Security enhancements Putting a hard shell around a soft core is not a recipe for success in security, but somehow legacy security architectures for application protection have often looked exactly like that: a hard perimeter firewall layer for an application infrastructure that was fundamentally not built with security as a primary concern. VMware NSX Distributed Firewall pioneered the micro-segmentation concept for granular access controls for cloud applications with the initial launch of the product in 2013. The promise of Zero Trust security for applications, the simplicity of deployment of the solution, and the ease of achieving internal security objectives made NSX an instant success for security-sensitive customers. Our newest release — NSX-T 3.2 — establishes a new marker for securing application infrastructure by introducing significant new features to identify and respond to malware and ransomware attacks in the network, to enhance user identification and L7 application identification capabilities, and, at the same time, to simplify deployment of the product for our customers. Modern day security teams need to secure mission-critical infrastructure from both external and internal attacks. By providing unprecedented threat visibility leveraging IDS, NTA, and Network Detection and Response (NDR) capabilities along with granular controls leveraging L4-L7 Firewall, IPS, and Malware Prevention capabilities, NSX 3.2 delivers an incredible security solution for our customers“ Umesh Mahajan, SVP, GM (Networking and Security Business Unit) Distributed Advanced Threat Prevention (ATP) Attackers often use multiple sophisticated techniques to penetrate the network, move laterally within the network in a stealthy manner, and exfiltrate critical data at an appropriate time. Micro-segmentation solutions focused solely on access control can reduce the attack surface — but cannot provide the detection and prevention technologies needed to thwart modern attacks. NSX-T 3.2 introduces several new capabilities focused on detection and prevention of attacks inside the network. Of critical note is that these advanced security solutions do not need network taps, separate monitoring networks, or agents inside each and every workload. Distributed Malware Prevention Lastline’s highly reputed dynamic malware technology is now integrated with NSX Distributed Firewall to deliver an industry-first Distributed Malware Prevention solution. Leveraging the integration with Lastline, a Distributed Firewall embedded within the hypervisor kernel can now identify both “known malicious” as well as “zero day” malware Distributed Behavioral IDS Whereas earlier versions of NSX Distributed IDPS (Intrusion Detection and Prevention System) delivered primarily signature-based detection of intrusions, NSX 3.2 introduces “behavioral” intrusion detection capabilities as well. Even if specific IDS signatures are not triggered, this capability helps customers know whether a workload is seeing any behavioral anomalies, like DNS tunneling or beaconing, for example, that could be a cause for concern. Network Traffic Analysis (NTA) For customers interested in baselining network-wide behavior and identifying anomalous behavior at the aggregated network level, NSX-T 3.2 introduces Distributed Network Traffic Analysis (NTA). Network-wide anomalies like lateral movement, suspicious RDP traffic, and malicious interactions with the Active Directory server, for example, can alert security teams about attacks underway and help them take quick remediation actions. Network Detection and Response (NDR) Alert overload, and resulting fatigue, is a real challenge among security teams. Leveraging advanced AI/ML techniques, the NSX-T 3.2 Network Detection and Response solution consolidates security IOCs from different detection systems like IDS, NTA, malware detection. etc., to provide a ”campaign view” that shows specific attacks in play at that point in time. MITRE ATT&CK visualization helps customers see the specific stage in the kill chain of individual attacks, and the ”time sequence” view helps understand the sequence of events that contributed to the attack on the network. Key Firewall Enhancements While delivering new Advanced Threat Prevention capabilities is one key emphasis for the NSX-T 3.2 release, providing meaningful enhancements for core firewalling capabilities is an equally critical area of innovation. Distributed Firewall for VDS Switchports While NSX-T has thus far supported workloads connected to both overlay-based N-VDS switchports as well as VLAN-based switchports, customers had to move the VLAN switchports from VDS to N-VDS before a Distributed Firewall could be enforced. With NSX-T 3.2, native VLAN DVPGs are supported as-is, without having to move to N-VDS. Effectively, Distributed Security can be achieved in a completely seamless manner without having to modify any networking constructs. Distributed Firewall workflows in vCenter With NSX-T 3.2, we are introducing the ability to create and modify Distributed Firewall rules natively within vCenter. For small- to medium-sized VMware customers, this feature simplifies the user experience by eliminating the need to leverage a separate NSX Manager interface. Advanced User Identification for Distributed and Gateway Firewalls NSX supported user identity-based access control in earlier releases. With NSX-T 3.2, we’re introducing the ability to directly connect to Microsoft Active Directory to support user identity mapping. In addition, for customers who do not use Active Directory for user authentication, NSX also supports VMware vRealize LogInsight as an additional method to carry out user identity mapping. This feature enhancement is applicable for both NSX Distributed Firewall as well as NSX Gateway Firewall. Enhanced L7 Application Identification for Distributed and Gateway Firewalls NSX supported Layer-7 application identification-based access control in earlier releases. With NSX-T 3.2, we are enhancing the signature set to about 750 applications. While several perimeter firewall vendors claim a larger set of Layer-7 application signatures, they focus mostly on internet application identification (like Facebook, for example). Our focus with NSX at this time is on internal applications hosted by enterprises. This feature enhancement is applicable for both NSX Distributed Firewall as well as Gateway Firewalls. NSX Intelligence NSX Intelligence is geared towards delivering unprecedented visibility for all application traffic inside the network and enabling customers to create micro-segmentation policies to reduce the attack surface. It has a processing pipeline that de-dups, aggregates, and correlates East-West traffic to deliver in-depth visibility. Scalability enhancements for NSX Intelligence As application infrastructure grows rapidly, it is vital that one’s security analytics platform can grow with it. With the new release, we have rearchitected the application platform upon which NSX Intelligence runs — moving from a stand-alone appliance to a containerized micro-service architecture powered by Kubernetes. This architectural change future-proofs the Intelligence data lake and allows us to eventually scale out our solution to n-node Kubernetes clusters. Large Enterprise customers that need visibility for application traffic can confidently deploy NSX Intelligence and leverage the enhanced scale it supports. NSX Gateway Firewall While NSX Distributed Firewall focuses on east-west controls within the network, NSX Gateway Firewall is used for securing ingress and egress traffic into and out of a zone. Gateway Firewall Malware Detection NSX Gateway Firewall in the 3.2 release received significant Advanced Threat Detection capabilities. Gateway Firewall can now identify both known as well as zero-day malware ingressing or egressing the network. This new capability is based on the Gateway Firewall integration with Lastline’s highly reputed dynamic network sandbox technology. Gateway Firewall URL Filtering Internal users and applications reaching out to malicious websites is a huge security risk that must be addressed. In addition, enterprises need to limit internet access to comply with corporate internet usage policies. NSX Gateway Firewall in 3.2 introduces the capability to restrict access to internet sites. Access can be limited based on either the category the URL belongs to, or the “reputation” of the URL. The URL to category and reputation mapping is constantly updated by VMware so customer intent is enforced automatically even after many changes in the internet sites themselves.

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Virtual Desktop Strategies, Server Hypervisors

Scaling Your Business the Easy Way—with SD-WAN as a Service

Article | April 27, 2023

SD-WANs are a critical component of digital transformation. Using software-defined networking (SDN) and virtual network functions (VNF) concepts to build and manage a wide area network (WAN) helps businesses successfully transition their infrastructure to the cloud by securely connecting hybrid multicloud architectures. But SD-WANs can do more than just facilitate a transition to the cloud —they make it faster and less expensive to expand your business.

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VMware, Vsphere, Hyper-V

Virtualization Can Help Substantially Reduce Computing Costs

Article | May 2, 2023

Businesses use a lot of technology to keep themselves competitive and Businesses use a lot of technology to keep themselves competitive and operationally efficient. One way that organizations use to make their technology infrastructure more accessible is through the use of virtualization. Let’s discuss what virtualization is, how it benefits businesses, and some examples of how you might consider leveraging virtualization to your company’s benefit. Virtualization for Hardware and Software Virtualization in its most basic sense is taking something and making it virtual. In regards to hardware and software, it involves taking these parts of your technology infrastructure and making them available in a virtual environment. Virtual applications and hardware solutions can be deployed to the cloud so that they can be accessed by any online device. Some examples of virtualization might include creating virtual machines, like workstations and server units, that are hosted in a virtual environment for as-needed access

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Server Virtualization

How to Start Small and Grow Big with Data Virtualization

Article | June 9, 2022

Why Should Companies Care about Data Virtualization? Data is everywhere. With each passing day, companies generate more data than ever before, and what exactly can they do with all this data? Is it just a matter of storing it? Or should they manage and integrate their data from the various sources? How can they store, manage, integrate and utilize their data to gain information that is of critical value to their business? As they say, knowledge is power, but knowledge without action is useless. This is where the Denodo Platform comes in. The Denodo Platform gives companies the flexibility to evolve their data strategies, migrate to the cloud, or logically unify their data warehouses and data lakes, without affecting business. This powerful platform offers a variety of subscription options that can benefit companies immensely. For example, companies often start out with individual projects using a Denodo Professional subscription, but in a short period of time they end up adding more and more data sources and move on to other Denodo subscriptions such as Denodo Enterprise or Denodo Enterprise Plus. The upgrade process is very easy to establish; in fact, it can be done in less than a day once the cloud marketplace is chosen (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). In as little as six weeks companies can realize real business benefits from managing and utilizing their data effectively. A Bridging Layer Data virtualization has been around for quite some time now. Denodo’s founders, Angel Viña and Alberto Pan, have been involved in data virtualization from as far back as the 1990’s. If you’re not familiar with data virtualization, here is a quick summary. Data virtualization is the cornerstone to a logical data architecture, whether it be a logical data warehouse, logical data fabric, data mesh, or even a data hub. All of these architectures are best served by our principals Combine (bring together all your data sources), Connect (into a logical single view) and Consume (through standard connectors to your favorite BI/data science tools or through our easy-to-use robust API’s). Data virtualization is the bridge that joins multiple data sources to fuel analytics. It is also the logical data layer that effectively integrates data silos across disparate systems, manages unified data for centralized security, and delivers it to business users in real time. Economic Benefits in Less Than 6 weeks with Data Virtualization? In a short duration, how can companies benefit from choosing data virtualization as a data management solution? To answer this question, below are some very interesting KPI’s discussed in the recently released Forrester study on the Total Economic Impact of Data Virtualization. For example, companies that have implemented data virtualization have seen an 83% increase in business user productivity. Mainly this is due to the business-centric way a data virtualization platform is delivered. When you implement data virtualization, you provide business users with an easy to access democratized interface to their data needs. The second KPI to note is a 67% reduction in development resources. With data virtualization, you connect to the data, you do not copy it. This means once it is set up, there is a significant reduction in the need for data integration engineers, as data remains in the source location and is not copied around the enterprise. Finally, companies are reporting a 65% improvement in data access speeds above and beyond more traditional approaches such as extract, transform, and load (ETL) processes. A Modern Solution for an Age-Old Problem To understand how data virtualization can help elevate projects to an enterprise level, we can share a few use cases in which companies have leveraged data virtualization to solve their business problems across several different industries. For example, in finance and banking we often see use cases in which data virtualization can be used as a unifying platform to help improve compliance and reporting. In retail, we see use cases including predictive analytics in supply chains as well as next and best actions from a unified view of the customer. There are many uses for data virtualization in a wider variety of situations, such as in healthcare and government agencies. Companies use the Denodo Platform to help data scientists understand key trends and activities, both sociologically as well as economically. In a nutshell, if data exists in more than one source, then the Denodo Platform acts as the unifying platform that connects, combines and allows users to consume the data in a timely, cost-effective manner.

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Spotlight

sec|zone

A silicon valley security start-up founded by hi-tech entrepreneur Mr. Kevin P. Reddy, providing integrated governance, risk, and compliance (GRC) and proactive internal threat management solutions based on AI neural networks, hybrid data analytics and mining, risk-resilient heuristics and genetic algorithms, machine learning, anomalous behavioral pattern recognition, intent data normalization, and predictive scenario foresight visualization.

Related News

Getting past cloud cost confusion: How to avoid the vendors' traps and win

CLOUDTECH | March 29, 2019

Cloud service providers like AWS, Azure, and Google were created to provide compute resources to save enterprises money on their infrastructure. But cloud services pricing is complicated and difficult to understand, which can often drive up bills and prevent the promised cost savings. Here are just five ways that cloud providers obscure pricing on your monthly bill. For the purpose of this article, I’ll focus on the three biggest cloud service providers: AWS, Azure, and Google. Between these three cloud providers alone, different terms are used for just about every component of services offered.For example, when you think of a virtual machine (VM), that’s what AWS calls an “instance,” Azure calls a “virtual machine,” and Google calls a “virtual machine instance.” If you have a scale group of these different machines, or instances, in Amazon and Google they’re called “auto-scaling” groups, whereas in Azure they’re called “scale sets.”There’s also different terminology for their pricing models. AWS offers on-demand instances, Azure calls it “pay as you go,” and Google has “on-demand” resources that are frequently discounted through “sustained use.” You’ve also got “reserved instances” in AWS, “reserved VM instances” in Azure, and “committed use” in Google. And you have “spot instances” in AWS, which are the same as “low-priority VMs” in Azure, and “preemptible instances” in Google.

Read More

EC Wants 5G Security Risks to be Assessed, But Does Not Ban Huawei

Sdxcentral | March 27, 2019

The European Commission (EC) this week set out its strategy to ensure the security of 5G networks across the European Union (EU), but ignored U.S. calls to ban Huawei equipment from next-generation mobile networks.The EC is recommending a set of actions that all member states should use to assess the cybersecurity risks of 5G networks. It stopped short of banning any suppliers outright, merely stating that member states “have the right to exclude companies from their markets for national security reasons if they do not comply with the country’s standards and legal framework.”The overall aim is to build a coordinated EU risk assessment that will ensure the security of key infrastructure, including 5G.The EC’s position could have been predicted based on Germany’s recent robust response to a perceived threat by the U.S. to limit intelligence sharing if Huawei was allowed to be part of Germany’s future 5G infrastructure. Germany has refused to explicitly ban Huawei from future network deployments, including 5G.

Read More

Cloud Provider Microsoft Azure Rolls Out Security Center for IoT

CRN | March 28, 2019

Microsoft Azure today announced Azure Security Center for IoT, which provides hybrid cloud security management and threat protection capabilities to help its manufacturing customers monitor the security status of their Azure-connected Internet of Things devices used in industrial applications.The cloud provider’s new offering is designed to make it easier for partners and customers to build enterprise-grade industrial IoT solutions with open standards and ensure their security.“They want security more integrated into every layer, protecting data from different industrial processes and operations from the edge to the cloud,” Sam George, Microsoft Azure’s IoT director, said in a blog post yesterday. “They want to enable proof-of-concepts quickly to improve the pace of innovation and learning, and then to scale quickly and effectively. And they want to manage digital assets at scale, not dozens of devices and sensors.”

Read More

Getting past cloud cost confusion: How to avoid the vendors' traps and win

CLOUDTECH | March 29, 2019

Cloud service providers like AWS, Azure, and Google were created to provide compute resources to save enterprises money on their infrastructure. But cloud services pricing is complicated and difficult to understand, which can often drive up bills and prevent the promised cost savings. Here are just five ways that cloud providers obscure pricing on your monthly bill. For the purpose of this article, I’ll focus on the three biggest cloud service providers: AWS, Azure, and Google. Between these three cloud providers alone, different terms are used for just about every component of services offered.For example, when you think of a virtual machine (VM), that’s what AWS calls an “instance,” Azure calls a “virtual machine,” and Google calls a “virtual machine instance.” If you have a scale group of these different machines, or instances, in Amazon and Google they’re called “auto-scaling” groups, whereas in Azure they’re called “scale sets.”There’s also different terminology for their pricing models. AWS offers on-demand instances, Azure calls it “pay as you go,” and Google has “on-demand” resources that are frequently discounted through “sustained use.” You’ve also got “reserved instances” in AWS, “reserved VM instances” in Azure, and “committed use” in Google. And you have “spot instances” in AWS, which are the same as “low-priority VMs” in Azure, and “preemptible instances” in Google.

Read More

EC Wants 5G Security Risks to be Assessed, But Does Not Ban Huawei

Sdxcentral | March 27, 2019

The European Commission (EC) this week set out its strategy to ensure the security of 5G networks across the European Union (EU), but ignored U.S. calls to ban Huawei equipment from next-generation mobile networks.The EC is recommending a set of actions that all member states should use to assess the cybersecurity risks of 5G networks. It stopped short of banning any suppliers outright, merely stating that member states “have the right to exclude companies from their markets for national security reasons if they do not comply with the country’s standards and legal framework.”The overall aim is to build a coordinated EU risk assessment that will ensure the security of key infrastructure, including 5G.The EC’s position could have been predicted based on Germany’s recent robust response to a perceived threat by the U.S. to limit intelligence sharing if Huawei was allowed to be part of Germany’s future 5G infrastructure. Germany has refused to explicitly ban Huawei from future network deployments, including 5G.

Read More

Cloud Provider Microsoft Azure Rolls Out Security Center for IoT

CRN | March 28, 2019

Microsoft Azure today announced Azure Security Center for IoT, which provides hybrid cloud security management and threat protection capabilities to help its manufacturing customers monitor the security status of their Azure-connected Internet of Things devices used in industrial applications.The cloud provider’s new offering is designed to make it easier for partners and customers to build enterprise-grade industrial IoT solutions with open standards and ensure their security.“They want security more integrated into every layer, protecting data from different industrial processes and operations from the edge to the cloud,” Sam George, Microsoft Azure’s IoT director, said in a blog post yesterday. “They want to enable proof-of-concepts quickly to improve the pace of innovation and learning, and then to scale quickly and effectively. And they want to manage digital assets at scale, not dozens of devices and sensors.”

Read More

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