Server Hypervisors
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 Tools
Article | August 12, 2022
Researchers have published the details of an investigation into CVE-2020-3952, a major vulnerability in VMware's vCenter that was disclosed and patched on April 9. The flaw was given a CVSS score of 10. CVE-2020-3952 exists in VMware's Directory Service (vmdir), which is a part of VMware vCenter Server, a centralized management platform for virtualized hosts and virtual machines. Through vCenter Server, the company says, an administrator can manage hundreds of workloads. The platform uses single sign-on (SSO), which includes vmdir, Security Token Service, an administration server, and the vCenter Lookup Service. Vmdir is also used for certificate management for the workloads vCenter handles.
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Server Virtualization
Article | May 17, 2023
Contents
1. Introduction
2. Software Development and Secure Testing
3. Using VMs in Software Development and Secure Testing
4. Conclusion
1. Introduction
“Testing is an infinite process of comparing the invisible to the ambiguous in order to avoid the unthinkable happening to the anonymous.” —James Bach.
Testing software is crucial for identifying and fixing security vulnerabilities. However, meeting quality standards for functionality and performance does not guarantee security. Thus, software testing nowadays is a must to identify and address
application security vulnerabilities to maintain the following:
Security of data history, databases, information, and servers
Customers’ integrity and trust
Web application protection from future attacks
VMs provide a flexible and isolated environment for software development and security testing. They offer easy replication of complex configurations and testing scenarios, allowing efficient issue resolution. VMs also provide secure testing by isolating applications from the host system and enabling a reset to a previous state. In addition, they facilitate DevOps practices and streamline the development workflow.
2. Software Development and Secure Testing
Software Secure Testing: The Approach
The following approaches must be considered while preparing and planning for security tests:
Architecture Study and Analysis: Understand whether the software meets the necessary requirements.
Threat Classification: List all potential threats and risk factors that must be tested.
Test Planning: Run the tests based on the identified threats, vulnerabilities, and security risks.
Testing Tool Identification: For software security testing tools for web applications, the developer must identify the relevant security tools to test the software for specific use cases.
Test-Case Execution: After performing a security test, the developer should fix it using any suitable open-source code or manually.
Reports: Prepare a detailed test report of the security tests performed, containing a list of the vulnerabilities, threats, and issues resolved and the ones that are still pending.
Ensuring the security of an application that handles essential functions is paramount. This may involve safeguarding databases against malicious attacks or implementing fraud detection mechanisms for incoming leads before integrating them into the platform.
Maintaining security is crucial throughout the software development life cycle (SDLC) and must be at the forefront of developers' minds while executing the software's requirements. With consistent effort, the SDLC pipeline addresses security issues before deployment, reducing the risk of discovering application vulnerabilities while minimizing the damage they could cause.
A secure SDLC makes developers responsible for critical security. Developers need to be aware of potential security concerns at each step of the process. This requires integrating security into the SDLC in ways that were not needed before. As anyone can potentially access source code, coding with potential vulnerabilities in mind is essential. As such, having a robust and secure SDLC process is critical to ensuring applications are not subject to attacks by hackers.
3. Using VMs in Software Development and Secure Testing:
Snapshotting: Snapshotting allows developers to capture a VM's state at a specific point in time and restore it later. This feature is helpful for debugging and enables developers to roll back to a previous state when an error occurs. A virtual machine provides several operations for creating and managing snapshots and snapshot chains. These operations let users create snapshots, revert to any snapshots in the chain, and remove snapshots. In addition, extensive snapshot trees can be created to streamline the flow.
Virtual Networking: It allows virtual machines to be connected to virtual networks that simulate complex network topologies, allowing developers to test their applications in different network environments. This allows expanding data centers to cover multiple physical locations, gaining access to a plethora of more efficient options. This empowers them to effortlessly modify the network as per changing requirements without any additional hardware. Moreover, providing the network for specific applications and needs offers greater flexibility. Additionally, it enables workloads to be moved seamlessly across the network infrastructure without compromising on service, security, or availability.
Resource Allocation: VMs can be configured with specific resource allocations such as CPU, RAM, and storage, allowing developers to test their applications under different resource constraints. Maintaining a 1:1 ratio between the virtual machine processor and its host or core is highly recommended. It's crucial to refrain from over-subscribing virtual machine processors to a single core, as this could lead to stalled or delayed events, causing significant frustration and dissatisfaction among users. However, it is essential to acknowledge that IT administrators sometimes overallocate virtual machine processors. In such cases, a practical approach is to start with a 2:1 ratio and gradually move towards 4:1, 8:1, 12:1, and so on while bringing virtual allocation into IT infrastructure. This approach ensures a safe and seamless transition towards optimized virtual resource allocation.
Containerization within VMs: Containerization within VMs provides an additional layer of isolation and security for applications. Enterprises are finding new use cases for VMs to utilize their in-house and cloud infrastructure to support heavy-duty application and networking workloads. This will also have a positive impact on the environment. DevOps teams use containerization with virtualization to improve software development flexibility. Containers allow multiple apps to run in one container with the necessary components, such as code, system tools, and libraries. For complex applications, both virtual machines and containers are used together. However, while containers are used for the front-end and middleware, VMs are used for the back-end.
VM Templates: VM templates are pre-configured virtual machines that can be used as a base for creating new virtual machines, making it easier to set up development and testing environments. A VM template is an image of a virtual machine that serves as a master copy. It includes VM disks, virtual devices, and settings. By using a VM template, cloning a virtual machine multiple times can be achieved. When you clone a VM from a template, the clones are independent and not linked to the template. VM templates are handy when a large number of similar VMs need to be deployed. They preserve VM consistency. To edit a template, convert it to a VM, make the necessary changes, and then convert the edited VM back into a new template.
Remote Access: VMs can be accessed remotely, allowing developers and testers to collaborate more effectively from anywhere worldwide. To manage a virtual machine, follow these steps: enable remote access, connect to the virtual machine, and then access the VNC or serial console. Once connected, full permission to manage the virtual machine is granted with the user's approval. Remote access provides a secure way to access VMs, as connections can be encrypted and authenticated to prevent unauthorized access. Additionally, remote access allows for easier management of VMs, as administrators can monitor and control virtual machines from a central location.
DevOps Integration: DevOps is a collection of practices, principles, and tools that allow a team to release software quickly and efficiently. Virtualization is vital in DevOps when developing intricate cloud, API, and SOA systems. Virtual machines enable teams to simulate environments for creating, testing, and launching code, ultimately preserving computing resources.
While commencing a bug search at the API layer, teams find that virtual machines are suitable for test-driven development (TDD). Virtualization providers handle updates, freeing up DevOps teams, to focus on other areas and increasing productivity by 50 –60%. In addition, VMs allow for simultaneous testing of multiple release and patch levels, improving product compatibility and interoperability.
4. Conclusion
The outlook for virtual machine applications is highly promising in the development and testing fields. With the increasing complexity of development and testing processes, VMs can significantly simplify and streamline these operations. In the future, VMs are expected to become even more versatile and potent, providing developers and testers with a broader range of tools and capabilities to facilitate the development process.
One potential future development is integrating machine learning and artificial intelligence into VMs. This would enable VMs to automate various tasks, optimize the allocation of resources, and generate recommendations based on performance data. Moreover, VMs may become more agile and lightweight, allowing developers and testers to spin up and spin down instances with greater efficiency.
The future of VM applications for software development and security testing looks bright, with continued innovation and development expected to provide developers and testers with even more powerful and flexible tools to improve the software development process.
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Virtual Desktop Tools
Article | July 7, 2022
Introduction
The early 2000s were milestone moments for the cloud. Amazon Web Services (AWS) entered the market in 2006, while Google revealed its first cloud service in 2007. Fast forward to 2020, when the pandemic boosted digital transformation efforts by around seven years (according to McKinsey), and the cloud has become a commercial necessity today. It not only facilitated the swift transition to remote work, but it also remains critical in maintaining company sustainability and creativity. Many can argue that the large-scale transition to the cloud in the 2010s was necessary to enable the digital-first experiences that remote workers and decentralized businesses need today.
Multi-cloud and hybrid cloud setups are now the norm. According to Gartner, most businesses today use a multi-cloud approach to reduce vendor lock-in or to take advantage of more flexible, best-of-breed solutions.
However, managing multi-cloud systems increases cloud complexity, and IT concerns, frequently slowing rather than accelerating innovation. According to 2022 research done by IntelligentCIO, the average multi-cloud system includes five platforms, including AWS, Microsoft Azure, Google Cloud, and IBM Red Hat, among others.
Managing Multi-Cloud Complexities Like a Pro
Your multi-cloud strategy should satisfy your company's requirements while also laying the groundwork for managing various cloud deployments. Creating a proactive plan for managing multi-cloud setups is one of the finest features that can distinguish your company. The five strategies for handling multi-cloud complexity are outlined below.
Managing Data with AI and ML
AI and machine learning can help manage enormous quantities of data in multi-cloud environments. AI simulates human decision-making and performs tasks as well as humans or even better at times. Machine learning is a type of artificial intelligence that learns from data, recognizes patterns, and makes decisions with minimum human interaction.
AI and ML to help discover the most important data, reducing big data and multi-cloud complexity. AI and machine learning enable more simplicity and better data control.
Integrated Management Structure
Keeping up with the growing number of cloud services from several providers requires a unified management structure. Multiple cloud management requires IT time, resources, and technology to juggle and correlate infrastructure alternatives.
Routinely monitor your cloud resources and service settings. It's important to manage apps, clouds, and people globally. Ensure you have the technology and infrastructure to handle several clouds.
Developing Security Strategy
Operating multiple clouds requires a security strategy and seamless integration of security capabilities. There's no single right answer since vendors have varied policies and cybersecurity methods. Storing data on many cloud deployments prevents data loss.
Handling backups and safety copies of your data are crucial. Regularly examine your multi-cloud network's security. The cyber threat environment will vary as infrastructure and software do. Multi-cloud strategies must safeguard data and applications.
Skillset Management
Multi-cloud complexity requires skilled operators. Do you have the appropriate IT personnel to handle multi-cloud? If not, can you use managed or cloud services? These individuals or people are in charge of teaching the organization about how each cloud deployment helps the company accomplish its goals. This specialist ensures all cloud entities work properly by utilizing cloud technologies.
Closing Lines
Traditional cloud monitoring solutions are incapable of dealing with dynamic multi-cloud setups, but automated intelligence is the best at getting to the heart of cloud performance and security concerns. To begin with, businesses require end-to-end observability in order to see the overall picture. Add automation and causal AI to this capacity, and teams can obtain the accurate answers they require to better optimize their environments, freeing them up to concentrate on increasing innovation and generating better business results.
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