Article | May 18, 2023
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.
Article | May 17, 2023
System Center Virtual Machine Manager (SCVMM) is a management tool for Microsoft’s Hyper-V virtualization platform. It is part of Microsoft’s System Center product suite, which also includes Configuration Manager and Operations Manager, among other tools. SCVMM provides a single pane of glass for managing your on-premises and cloud-based Hyper-V infrastructures, and it’s a more capable alternative to Windows Server tools built for the same purpose.
Virtual Desktop Tools, Server Hypervisors
Article | April 28, 2023
2. Ethical Hacking and Penetration Testing
3. Metasploit Penetration Test
4. Why Choose Metasploit Framework for your Business?
5. Closing remarks
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 –
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.
Virtual Desktop Tools
Article | July 7, 2022
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.
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.
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.