Software-defined perimeter brings trusted access to multi-cloud applications, network resources

Many companies today have a hybrid approach to their networking and IT infrastructure. Some elements remain in an on-premise data center, while other portions have gone to the cloud and even to multi-cloud. As a result, the network perimeter is permeable and elastic. This complicates access requirements at a time when it’s more important than ever to enable accessibility while preventing unauthorized access to applications and data.To reduce risk, some organizations are applying a zero-trust strategy of “verification before trust” by incorporating stronger, stateful user and device authentication; granular access control; and enhanced segmentation no matter where the applications and resources reside.

Spotlight

Seculert

The Seculert Attack Detection & Analytics Platform combines machine-learning based analytics and threat intelligence to automatically detect cyber attacks inside the network, revealing exactly which devices and users are compromised. For the first time, CISOs can measure and prove the effectiveness of their existing threat prevention systems, all without deploying additional staff, hardware or software. Organizations worldwide use Seculert to identify known and unknown security threats, while enhancing the effectiveness of their IT security investments. Founded in 2010, Seculert has offices in the U.S., the U.K., and Israel.

OTHER ARTICLES
Server Hypervisors

How virtualization helped Dell make a pandemic pivot

Article | May 18, 2023

Danny Cobb, fellow and vice president of engineering for Dell Technologies’ telco systems business, remembers his company cruising into early 2020: Kicking off a new fiscal year with its operating plan in place, supply chain nailed down and factories humming; people coming into the office each day to the usual routine of looking for parking spots and taking laptops down to the cafeteria. Then came March, and the first wave of the Covid-19 pandemic hit U.S. shores. In the course of one weekend, Dell pivoted to having more than 90% of its workforce working from home. That meant a dramatic shift in its network needs and operations – one that was only able to be accomplished so quickly because of virtualized infrastructure.

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Server Hypervisors

VMware NSX 3.2 Delivers New, Advanced Security Capabilities

Article | September 9, 2022

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 Tools, Server Hypervisors

Metasploitable: A Platform for Ethical Hacking and Penetration Testing

Article | April 28, 2023

Contents 1. Overview 2. Ethical Hacking and Penetration Testing 3. Metasploit Penetration Test 4. Why Choose Metasploit Framework for your Business? 5. Closing remarks 1. Overview Metasploitable refers to an intentionally vulnerable virtual machine that enables the learning and practice of Metasploit. Metasploit is one of the best penetration testing frameworks that helps businesses discover and shore up their systems' vulnerabilities before hackers exploit them. Security engineers use Metasploit as a penetration testing system and a development platform that allows the creation of security tools and exploits. Metasploit's various user interfaces, libraries, tools, and modules allow users to configure an exploit module, pair it with a payload, point it at a target, and launch it at the target system. In addition, Metasploit's extensive database houses hundreds of exploits and several payload options. 2. Ethical Hacking and Penetration Testing An ethical hacker is one who works within a security framework and checks for bugs that a malicious hacker might use to exploit networks. They use their experience and skills to render the cyber environment. To protect the infrastructure from the threat that hackers pose, ethical hacking is essential. The main purpose of an ethical hacking service is to report and assess the safety of the targeted systems and networks for the owner. Ethical hacking is performed with penetration test techniques to evaluate security loopholes. There are many techniques used to hack information, such as – Information gathering Vulnerability scanning Exploitation Test analysis Ethical hacking involves automatic methods. The hacking process without automated software is inefficient and time-consuming. There are several tools and methods that can be used for ethical hacking and penetration testing. The Metasploit framework eases the effort to exploit vulnerabilities in networks, operating systems, and applications and generates new exploits for new or unknown vulnerabilities. 3. Metasploit Penetration Test Reconnaissance: Integrate Metasploit with various reconnaissance tools to find the vulnerable spot in the system. Threat Modeling and Vulnerability Identification: Once a weakness is identified, choose an exploit and payload for penetration. Exploitation: The payload gets executed at the target if the exploit, a tool used to take advantage of system weakness, is successful, and the user gets a shell for interacting with the payload (a shellcode is a small piece of code used as the payload).The most popular payload, a set of malicious codes to attack Windows systems, is Meterpreter, an in-memory-only interactive shell. (Meterpreter is a Metasploit attack payload that provides an interactive shell for the attacker to explore the target machine and execute code.)Other payloads are: Static payloads (it enables port forwarding and communications between networks) Dynamic payloads (to evade antivirus software, it allows testers to generate unique payloads) Command shell payloads (enables users to run scripts or commands against a host) Post-Exploitation: Metasploit offers various exploitation tools for privilege escalation, packet sniffing, keyloggers, screen capture, and pivoting tools once on the target machine. Resolution and Re-Testing: Users set up a persistent backdoor if the target machine gets rebooted. These available features in Metasploit make it easy to configure as per the user's requirements. 4. Why Choose Metasploit Framework for your Business? Significant advantages of the Metasploit Framework are discussed below: Open-source: Metasploit Framework is actively developed as open-source software, so most companies prefer this to grow their businesses. Easy usage: It is very easy to use, defining an easy-naming conversation with the commands. This also facilitates the building of an extensive penetration test of the network. GUI Environment: It mainly provides third-party instances that are friendly. These interfaces ease the penetration testing projects by providing the facilities with services such as button clicks, over-the-fly vulnerability management, and easy-to-shift workspaces, among others. Cleaner Exits: Metasploit can cleanly exit without detection, even if the target system does not restart after a penetration test. Additionally, it offers various options for maintaining persistent access to the target system. Easy Switching Between Payloads: Metasploit allows testers to change payloads with the 'setpayload' command easily. It offers flexibility for system penetration through shell-based access or meterpreter. 5. Closing remarks From DevSecOps experts to hackers, everyone uses the Ruby-based open-source framework Metasploit, which allows testing via command-line alterations or GUI. Metasploitable is a vulnerable virtual machine ideally used for ethical hacking and penetration testing, in VM security. One trend likely to impact the future of Metasploitable is the increasing use of cloud-based environments for testing and production. It is possible that Metasploitable could be adapted to work in cloud environments or that new tools will be developed specifically for cloud-based penetration testing. Another trend that may impact the future of Metasploitable is the growing importance of automation in security testing. Thus, Metasploitable could be adapted to include more automation features. The future of Metasploitable looks bright as it continues to be a valuable tool for security professionals and enthusiasts. As the security landscape continues to evolve, it will be interesting to see how Metasploitable adapts to meet the community's changing needs.

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Server Virtualization

Boosting Productivity with Kubernetes and Docker

Article | May 17, 2023

Learn setting up a Docker and Kubernetes environment with the right considerations and choose the best-suited software from ten leading tools, softwares and platforms for your business needs. Contents The blog discusses how Kubernetes and Docker can boost software development and deployment productivity. In addition, it covers the benefits of the role of Kubernetes in orchestrating containerized applications and best practices for implementing these technologies to improve efficiency and streamline workflows. Docker and Kubernetes are both essential containerization ecosystem utilities. Kubernetes, an excellent DevOps solution, manages and automates containers' deployment and scaling, along with operating across clusters of hosts, whereas Docker is used for creating and operating containers. The blog covers tips to consider while choosing tools/platforms. It further enlists ten platforms providing Kubernetes and Docker, featuring their offerings. 1. Considerations While Setting Up a Development Environment with Kubernetes and Docker 1.1 Fluid app delivery A platform for application development must provide development teams with high velocity. Two factors contribute to high velocity: rapid application delivery and brief development cycles. Application platforms must support build processes that start with source code. The platforms must also facilitate the repetitive deployment of applications on any remote staging instance. 1.2 Polyglot support Consistency is the defining characteristic of an application platform. On-demand, repetitive, and reproducible builds must be supported by the platform. Extending a consistent experience across all languages and frameworks elevates the platform experience. The platform must support a native build process and the ability to develop and customize this build process. 1.3 Baked-in security Containerized environments are secured in a significantly different manner than conventional applications. A fundamental best practice is to utilize binaries compiled with all necessary dependencies. The build procedure should also include a directive to eliminate unnecessary components for the application's operation. Setting up a zero-trust architecture between platform components that orchestrate deployments significantly improves the workloads' security posture. 1.4 Adjustable abstractions A platform with paved paths and the flexibility to accommodate the requirements of software engineering teams has a greater chance of success. Open-source platforms score highly in this regard, particularly those with modular architectures that allow the team to swap out parts as they adjust. 2.Top Tips to Consider While Choosing Tools and Platforms for Kubernetes and Docker 2.1 Production-Readiness Configuring Kubernetes or Docker can be complex and resource-intensive. A production-ready platform will ensure having the necessary fully automated features without the need for configuration. Security is an essential aspect of production readiness. Additionally, automation is critical, as production readiness requires that the solution manage all cluster management duties. Automated backup, recovery, and restore capabilities must be considered. Also, ensure the high availability, scalability, and self-healing of the cluster's platform. 2.2 Future-Readiness As the cloud and software evolve, a system's hosting location may affect its efficacy. The current trend is a multi-cloud strategy. Ensure that the platform can support abstracting from cloud or data center providers and building a shared infrastructure across clouds, cloud regions, and data centers, as well as assist in configuring them if required. According to a recent study, nearly one-third of organizations are already collaborating with four or more cloud service providers. (Source: Microsoft and 451 Research) 2.3 Ease of Administration Managing a Docker or Kubernetes cluster is complex and requires various skill sets. Kubernetes generates a lot of unprocessed data, which must be interpreted to comprehend what's happening with the cluster. Early detection and intervention are crucial to disaster prevention. Identifying a platform that eliminates the issue of analyzing raw data is essential. By incorporating automated intelligent monitoring and alerts, such solutions can provide critical status, error, event, and warning data to take appropriate action. 2.4 Assistance and Training As the organization begins to acquire Kubernetesor Docker skills, it is essential to have a vendor that can provide 24/7 support and training to ensure a seamless transition. Incorrect implementation will add a layer of complexity to infrastructure management. Leverage automation tools that offer the support needed to use Kubernetes and Docker without the management burden. 3. 10 Tools and Platforms Providing Kubernetes and Docker 3.1 Aqua Cloud Native Security Platform: Aqua Security provides the Aqua Cloud Native Security Platform, a comprehensive security solution designed to protect cloud-native applications and microservices. Aqua offers end-to-end security for applications operating on Docker Enterprise Edition (Community Edition), protecting the DevOps pipeline and production workloads with complete visibility and control. It provides end-to-end security across the entire application lifecycle, from development to production, for both containerized and serverless workloads. In addition, it automates prevention, detection, and response across the whole application lifecycle to secure the build, cloud infrastructure, and operating workloads, regardless of where they are deployed. 3.2 Weave Gitops Enterprise Weave GitOps Enterprise, a full-stack, developer-centric operating model for Kubernetes, creates and contributes to several open-source projects. Its products and services enable teams to design, build, and operate their Kubernetes platform at scale. Built by the creators of Flux and Flagger, Weave GitOps allows users to deploy and manage Kubernetes clusters and applications in the public or private cloud or their own data center. Weave GitOps Enterprise helps simplify Kubernetes with fully automated continuous delivery pipelines that roll out changes from development to staging and production. Weaveworks has used Kubernetes in production for over eight years and has developed that expertise into Weave GitOps Enterprise. 3.3 Mirantis Kubernetes Engine Mirantis provides the Mirantis Kubernetes Engine, a platform designed to help organizations deploy, manage, and scale their Kubernetes clusters. It includes features such as container orchestration, automated deployment, monitoring, and high availability, all designed to help organizations build and run their applications at scale. Mirantis Kubernetes Engine also includes a set of tools for managing the lifecycle of Kubernetes clusters, including cluster deployment, upgrades, and patching. It also has security scanning and policy enforcement features, as well as integration with other enterprise IT systems such as Active Directory and LDAP. 3.4 Portworx by Pure Storage Portworx's deep integration into Docker gives Portworx container data services benefits directly through the Docker Swarm scheduler. Swarm service creation brings the management capability of Portworx to the Docker persistent storage layer to avoid complex tasks such as increasing the storage pool without container downtime and problems like stuck EBS drives. Portworx is also a multi-cloud-ready Kubernetes storage and administration platform designed to simplify and streamline data management in Kubernetes. The platform abstracts the complexity of data storage in Kubernetes. Additionally, it serves as a software-defined layer that aggregates Kubernetes nodes' data storage into a virtual reservoir. 3.5 Platform9 Platform9 provides a powerful IDE for developers for simplified in-context views of pods, logs, events, and more. Both development and operations teams can access the information they need in an instant, secured through SSO and Kubernetes RBAC. The industry’s first SaaS-managed approach combined with a best-in-class support and customer success organization with a 99.9% consistent CSAT rating delivers production-ready K8s to organizations of any size. It provides services to deploy a cluster instantly, achieve GitOps faster, and take care of every aspect of cluster management, including remote monitoring, self-healing, automatic troubleshooting, and proactive issue resolution, around the clock. 3.6 Kubernetes Network Security Sysdig provides Kubernetes Network Security, a solution that offers cloud security from source to run. The product provides network security for Kubernetes environments by monitoring and blocking suspicious traffic in real time. It helps organizations protect their Kubernetes clusters against advanced threats and attacks. The product and Sysdig Secure offer Kubernetes Network Monitoring to investigate suspicious traffic and connection attempts, Kubernetes-Native Microsegmentation to enable microsegmentation without breaking the application, and Automated Network Policies to save time by automating Kubernetes network policies. 3.7 Kubernetes Operations Platform for Edge Rafay delivers a production-ready Kubernetes Operations Platform for Edge, streamlining ongoing operations for edge applications. It provides centralized multi-cluster management to deploy, manage, and upgrade all Kubernetes clusters from a single console across all edge nodes. In addition, it offers comprehensive lifecycle management, with which users can quickly and easily provision Kubernetes clusters at the edge, where cluster updates and upgrades are seamless with no downtime. Furthermore, the KMC for Edge quickly integrates with enterprise-class SSO solutions such as Okta, Ping One, and Azure AD, among others. Other features include standardized clusters and workflows, integration and automation, and centralized logging and monitoring. 3.8 Opcito Technologies Opcito provides simplified container management with efficient provisioning, deployment, scaling, and networking. Its application containerization expertise helps containerize existing and new applications and dependencies. Opcito is well-versed in leading container orchestration platforms like Docker Swarm and Kubernetes. While it helps choose the container platform that best suits specific application needs, it also helps with the end-to-end management of containers so clients can release applications faster and focus on innovation and business. The container management and orchestration services include: building secured microservices, Enterprise-scale Container Management and Orchestration, Orchestration, and Container Monitoring. 3.9 D2iQ Kubernetes Platform (DKP) D2iQ (DKP) enables enterprises to take advantage of all the benefits of cloud-native Kubernetes while laying the groundwork for intelligent cloud-native innovation by simplifying Kubernetes deployment and maintenance. It simplifies and automates the most difficult parts of an enterprise Kubernetes deployment across all infrastructures. DKP helps enterprises easily overcome operational barriers and set them up in minutes and hours rather than weeks and months. In addition, DKP simplifies Kubernetes management through automation using GitOps workflow, observability, application catalog, real-time cost management, and more. 3.10 Spektra Spektra, by Diamanti, a multi-cluster management solution for DevOps and production teams, provides centralized multi-cluster management, a single control plane to deliver everything needed to provision and manage the lifecycle of multiple clusters. Spektra is built to cater to business needs, from air-gapped on-prem deployments to hybrid and multi-cloud infrastructures. It also enables stretching resources across different clusters within the tenant. Furthermore, it allows you to move workloads and their associated data from one cluster to another directly from its dashboard. Spektra integrates with lightweight directory access protocols (LDAP) and Active Directory (AD) to enable user authentication and streamline resource access. In addition, it offers application migration, data mobility, and reporting. 4. Conclusion It is evident that Kubernetes and Docker can significantly boost software development and deployment productivity. By adopting appropriate containerization platforms and leveraging Kubernetes for orchestration, organizations can streamline workflows, improve efficiency, and enhance the reliability of their applications. Furthermore, following the tips to choose the tools or platform carefully can further improve productivity.

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Spotlight

Seculert

The Seculert Attack Detection & Analytics Platform combines machine-learning based analytics and threat intelligence to automatically detect cyber attacks inside the network, revealing exactly which devices and users are compromised. For the first time, CISOs can measure and prove the effectiveness of their existing threat prevention systems, all without deploying additional staff, hardware or software. Organizations worldwide use Seculert to identify known and unknown security threats, while enhancing the effectiveness of their IT security investments. Founded in 2010, Seculert has offices in the U.S., the U.K., and Israel.

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.”

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