Network Infrastructure, Network Management
Article | July 10, 2023
Digital liberation has opened up several avenues for businesses. The current scenario is a bright example of how a remote or hybrid work model seamlessly became a norm, establishing digital workspaces, including laptops and PCs.
But this has also led companies to deal with a lot of challenges in managing their enterprise mobility.
Whether it is the security or Bring Your Own Device (BYOD) to the user experience or migration, Mobile Device Management (MDM) plays a significant role in digital transformation.
PROTECTION VS. PRIVACY: THE PROBLEM WITH (MDM) – INTRODUCTION
Mobile device management pertains to software solutions and reliable practices that enable companies to easily manage and obtain wide-ranging mobile devices in compliance with corporate guidelines.
In addition, the MDM functionality addresses the security of devices and data, management of devices, and configurations.
Essentially, MDM as security is an element of an enterprise mobility management solution that integrates a clustered set of tools to secure and manage mobile apps, BYOD devices, content data and access, configurations, risk management, software updates, and application management.
MDM allows a single-interface control over all connecting devices, enabling each device registered for corporate use through the MDM software to be easily monitored, managed, and controlled as per organizational policies.
“It’s clear that our network is better protected. We have solved our BYOD issues and can rely on great support via e-mail, phone, or Skype.”
- Raymond Bernaert, IT Administrator at ROC Kop van Noord, the Netherlands
However, when it comes to an understanding, this technology is of utmost importance to consider the key challenges that companies face regarding protection vs. privacy of mobile device management.
Key Challenges
MDM solutions are built to improve visibility and secure better control into an end user’s mobile device activity. However, unrestrained tracking of the device’s activities poses a huge threat to the end user’s privacy.
For instance, the mobile device management solution may track real-time location and browsing detail. The information exposes employees’ data and usage habits beyond the employer’s device management and security needs.
Moreover, as the mobile device market expands, employees choose devices from various brands and platforms, which companies extend support and manage; nevertheless, unanticipated security issues with a specific platform and software version could emerge at any point. Thus, executing the entire process without compromising the end-user convenience.
Now, let’s check out some of the most common mobile device management challenges.
Security
Using numerous devices and endpoints could potentially increase the risk of hacking. This is because, for hackers, it would be a lot easier to exploit the endpoints.
And, no wonder mobile device security is one of the fastest-growing concepts in the cybersecurity landscape today.
Incorporating mobile devices under the umbrella of mobile device management would be helpful to bridge the vulnerable gaps and prove to firmly manage the entire digital fleet, including mobile phones and PCs. In addition, this will increase up-time significantly and containerize the personal data from corporate data.
The Privacy Issue
Though MDM solution helps organizations obviate data breaches, they also open up doubt and questions regarding employee privacy. This is because various MDM tools allow employers to monitor the entire device’s activities, including personal phone calls and web activity, at any point.
Subsequently, this empowers the IT team to command control in corporate security, whereby they perform many such remote actions, which harm the employees’ privacy.
Organizations over the years have used mobile device management solutions with the intent to put BYOD in place. When an enterprise enables BYOD, employees use their devices to access data to help achieve the tasks.
With the intent to secure the endpoints, companies choose MDM as their key solution and take control over the entire mobile device, but with that comes the potential for abuse. So, naturally, there is an unwillingness among employees to get MDM installed on their devices.
Network Access Control (NAC)
The sudden surge in digital workspace culture has also brought in additional complications with varied mobile devices.
It is crucial to ensure the team has access to all the apps and corporate data they need. However, it is also important to note that there should be a check on direct access to the data center.
One of the core elements for enterprise mobility is network access control (NAC). NAC scrutinizes devices wanting to access your network and it carefully enables and disables native device capabilities distinctly.
With designated devices getting connected to the network as per resource, role, and location, it is relatively easy for NAC to ascertain their access level based upon the pre-configured concepts.
User Experience
It is essential to consider the end-user experience while managing mobility as it often becomes a big challenge. Therefore, a successful mobile device management structure lies mainly in creating a satisfying user experience.
A company that uses various devices and has extensive BYOD users may find VMware Workspace ONE or MobileIron effective.
However, if the enterprise is all Apple iPhones, the ideal enterprise mobility management would be Jamf Pro, an Apple-only EMM.
A single sign would be a perfect method to get into the virtual desktop to ensure efficiency for the remote workers. Moreover, it won’t ask you to sign into different applications separately.
Sturdy enterprise mobile device management is an absolute necessity to have a hassle-free experience.
Let’s cite the example of this case study, where ‘The Department of Homeland Security (DHS) Science and Technology Directorate’ (S&T) initiated the Next Generation First Responder (NGFR) Apex program to assist tomorrow’s first responder in becoming protected, connected and aware.
DHS S&T held a series of NGFR Integration Demonstrations to incrementally test and assess interoperable technologies presently at the development stage.
These demonstrations have changed from tabletop integration to field exercises with partner public safety agencies incorporating increasingly complex technology.
The NGFR- Harris County OpEx included 23 varied DHS and industry-provided technologies involving six Internet of Things (IoT) sensors, five situational awareness applications and platforms and live-stream video feeds.
Additionally, Opex technologies also integrated body-worn cameras and real-time data aggregation and access across numerous agencies.
In a nutshell, this case study identifies and explains the mobile device management (MDM) solutions that provided an application-level cybersecurity evaluation and remote device management. The Opex addresses how nationwide public safety agencies could utilize MDM to enhance the operational deployment of new devices and applications.
Final Words
There are surely both pros and cons involved in mobile device management.
Over the years, the BYOD program has turned out to become a norm in corporate culture. In addition, the use of personal devices has significantly surged due to the gradual increase in remote and hybrid work models. Thus, many believe that the MDM solution is naturally aligned with BYOD.
However, the fact is, a perfectly planned BYOD policy is the only way to ensure clarity. Having no policy in place will expose a firm to the so-called ‘Shadow IT’ as users will circumvent the IT infrastructure working from their mobile devices.
Though the breach of privacy is likely, the policy can be tailored based on the company’s needs. The IT security is adequately maintained and protected and strikes a balance between protections vs. privacy in mobile device management.
Frequently Asked Questions
What can mobile device management do?
Mobile device management keeps business data safe and protected and secures control over confidential information. MDM also exercises its power to lock and remove all data. This is the capability that sustains the device’s security.
What are different mobile management tools?
With the introduction of Bring Your Own Device (BYOD), several enterprise mobility management tools have also been inducted into MDM.
To name a few, some of the prominent MDM tools are Miradore, Citrix Endpoint Management, and SOTI Mobicontrol.
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Wireless, 5G
Article | May 18, 2023
Wi-Fi and the Internet have become an indispensable part of our daily lives. Because of the importance and convenience of a business Wi-Fi network, it is now a must-have service for most businesses. Unfortunately, numerous small-to-medium-sized businesses lack the resources and cyber skills required to appropriately secure their networks. This can be a major issue because an unsecured network exposes the company to attacks from hackers looking to steal valuable company information or customer data.
How Can Businesses and IT Leaders Strengthen Their Wi-Fi Security?
A data breach can cripple your business. It not only undermines consumer trust, but data breaches cost an average of $4.24 million. Fortunately, improving your Wi-Fi security is not difficult. To safeguard your company's wireless Internet connection, follow the steps outlined below.
Use Up-To-Date Wi-Fi Encryption
You should upgrade your hardware if it can only support WEP or WPA encryption. The Wi-Fi Alliance strongly encourages the widespread use of WPA2. Cutting-edge encryption has been demonstrated to be protected against even the most persistent attackers when correctly implemented. If you run an enterprise environment, you should take advantage of the extra security provided by specific digital certificates.
Encrypt Wi-Fi Router Administration Pages
Taking your Wi-Fi security a step further needs the use of a Wi-Fi digital certificate to secure your admin login pages. Self-signed certificates that come pre-installed on a few routers are untrusted, easy to copy, and prone to Man-In-The-Middle (MITM) attacks. TLS certificates from reputable certificate authorities can ensure that all of your Wi-Fi connectivity is safe and confidential. If your router's quick start guide does not contain digital certificates, you can obtain information on the manufacturer's support page.
Consider Restricting MAC addresses
Smaller network managers can lock down MAC addresses for more control. Wireless routers and access points use MAC (Media Access Control) address filtering to block attacks. Every WiFi-enabled device has a unique MAC or physical address and a list of connected devices. You can manually enter addresses to define network access, but hackers can fake MAC addresses.
Use Always-On SSL
You must utilize HTTPS across your website and apply it to Wi-Fi. Accessing an account on an encrypted page and subsequently interacting with the site through unencrypted pages exposes the user to session-side jacking.
Create a Guest AP with Tighter Security
Not all businesses must enable guests or customers to connect to their networks, but some companies do offer guests access by providing them with guest login credentials. If your company falls into this category, set up a dedicated guest AP that is isolated from the rest of the company network.
You can set up a second AP on your router and utilize a firewall to limit access from that AP to certain services that you want your visitors to be able to access.
Closing Lines
Nowadays, having an internet connection is critical for organizations, as is keeping it secure from hackers. Moreover, when conducting business, it is crucial to keep critical information and customer data secure.
Otherwise, you risk compromising your company's image. So, if you want to maintain your Wi-Fi network security and keep your business working effectively, you must adhere to a few fundamental principles.
Finally, you are on the path to make your Wi-Fi network safer and more robust by following all of these techniques at once or step by step.
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Network Infrastructure, Network Management
Article | July 27, 2023
Applications of AI/ML
Modern businesses are adopting Artificial Intelligence (AI) that encompasses disciplines like machine learning (ML), natural language processing (NLP), evolutionary computation, etc., to increase their productivity and management capabilities.
Companies like Qualcomm are using AI and machine learning to improve their customer experience.
“Across many industries, we are currently experiencing the creation of intelligent machines that is using AI to simulate smart behavior.”
-Dr. Vinesh Sukumar, Senior Director- Head of AI/ML Product Management at Qualcomm, ( in an interview with Media7)
The application of machine learning in networking is swiftly taking shape. However, as the problems in modern computer networks are getting tedious to handle, AI tools are being introduced to hard-carry their smooth functioning.
Let’s take a look at how network complexity impacts businesses:
Difference in Network Parameters
Different client devices like laptops, smartphones, CCTV cameras, etc., are connected to a single network. However, their requirements and parameters are different. Therefore, the IT team of the business needs to meet them without compromising the functionality and security of the network.
Users Prefer Wireless Networks
Wireless networks are more complex than wired ones. They perform dynamically depending on the number of users, applications, and other variables.
Impact of Cloud Computing
Most applications are now cloud-based, and such a network has multiple data entry points and requires more support.
User Experience
Deciphering root cause analysis, finding correlation and solutions becomes tedious without an AI/ML model. Complex patterns remain unanalyzed, and this creates a vacuum between the customer and the business.
What Does ML Bring to the Table?
Machine learning applications in networking correlate to solving four types of network problems: clustering, extraction, regression, and classification.
For classification and regression, ML clusters similar data and creates a gap between data groups. It then successfully maps a new set of data to a pre-set continuously valued output. As for extraction, it easily establishes a statistical relationship between the data it analyzes.
Machine learning applications in networking encompass the following:
Automation and Cognitive Computing
ML enables automation in data processing by eliminating the human error factor and constantly improving with time. It analyzes data, improves the productivity, security, and health of the network. Cognitive computing allows processing diverse data sets, detecting and finding root causes and common traits within the system.
Network Monitoring & Security
Network monitoring is used to solve problems in a large dataset by deciphering the hidden pattern in the data. It then predicts the outcome for clustered data, malware attacks, or impending network failure. It recognizes impending threats in time and sends out warnings. ML uses anomaly-based intrusion, misuse-based intrusion, or hybrid intrusion to prevent misuse, modification, unauthorized access, or malfunction.
Traffic Prediction, Classification, and Routing
Network traffic prediction is important to handle any mishaps proactively. Network analysis in machine learning is done by using Time Series Forecasting (TSF). By using a regression model solution, TSF finds a correlation between the traffic volume in the future and the traffic previously observed.
Traffic classification ensures Quality of Service (QoS), planning ahead for capacity, security, performance analysis, etc. It helps with proper resource utilization by pinpointing unnecessary traffic in a critical application.
Factors like cost-effectiveness, link utilization, operational capabilities, and policies are also considered by the ML model.
Congestion Control
ML models control the number of packets that enter a network to ensure that the network is stable, fairly utilize resources, and follow queue management employed for congestion control.
Efficiently Managing Resources
ML efficiently manages network resources like the CPU, frequency, switches, memory, routers, etc., by using analytical decision-making.
ML Learning Curve
ML models learn in the following ways:
Pitfalls
Like any other technology, machine learning application in networking comes with pitfalls and limitations. Here are a few:
Data Quality
The efficiency of an ML model is based on the quality, quantity, and diversity of data it processes so it can deduce patterns or identify root causes. Most ML models use simplistic synthetic data for training, validation, and performance. The same cannot be said about practical settings because the data comes from different applications and services and is more complex.
Feasibility
There are scalability and feasibility issues because each network and application is different. Moreover, there are no set standards for uniformity for implementation which makes it hard to set benchmarks or best practices. Control over autonomic networks is distributed and remains limited based on the vendor’s specific devices.
Predictive Analysis and Its Cost
Network analysis and machine learning prediction require additional accurate and effective monitoring investments. Moreover, fault management may have some potholes as there may be a scarcity of normal fault data.
High FPR (False Positive Rates)
Anomaly detection by ML in networking has not created enough buzz in the industry because it generates high FPRs during operations. Also, no detailed anomaly report is generated, so no anomaly history log can be maintained.
Striking a Balance
ML requires time to learn and mitigate issues. It is difficult to identify, in advance, how complex the ML’s approach will be. Striking a balance between the performance and computational cost is difficult. Deciphering comprehensive evaluation metrics is also a tedious task.
No Theoretical Model
There is no theoretical model, in turn, a unified theory, for ML in networking, so each network may have to be learned separately. The current machine learning applications in networking are made keeping in mind certain applications. Over time, more research to tailor ML for certain networks needs to be done. Cross-domain experts who understand both ML and networking are also rare.
Solutions
Software Defined Networking (SDN)
CISCO helped PwC Italy set up a secure network at their new twenty-eight-floor tower with the help of their SD-Access product. PwC wanted a secure, robust network with increased Wi-Fi and wired connectivity for their 3000 employees by streamlining network operations.
“We needed a robust and highly reliable wireless network infrastructure that’s as advanced as the tower itself.”
-Simone Demaria,Network Architect and Infrastructure Manager at PwC Italy
By applying Software Defined Network (SDN), IT personnel can remotely govern network policies in real-time through open interfaces, so traffic engineering is easily possible. SDN also contributes to network virtualization.
SDN supports the upcoming 5G ecosystem. When combined with NFV and VNF, SDN can revolutionize networking.
Going Beyond Traffic Volume & Prediction
To tackle the limitations that TSF-based traffic prediction models have, leveraging features beyond traffic prediction and concentrating on traffic interpolation and sampling could be viable. Research is ongoing on this possibility.
Summing It Up
As the influx of data keeps on increasing, the complexity of networks will increase in tandem. For successfully implementing ML for streamlining networking, the ML approaches we are aware of today need to be upgraded to accommodate multi-layer networks and multi-tenancy so autonomic networking can be a reality.
FAQs
How Can ML Help in Making Networking Smarter?
ML can streamline the network by automation, threat detection, and improving its performance.
How Complex Is Integrating ML into Networking?
The complexity depends on the type of network you are integrating it into.
What to Keep in Mind Before Using Ml in Networking?
Consider investment costs, data availability, feasibility, and scalability.
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Network Management, Network Security
Article | July 17, 2023
Enhance network performance, strengthen security, and minimize downtime with the curated network monitoring companies list. Ensure proactive problem detection for business success with top solutions.
In the ever-evolving landscape of modern business operations, effectively monitoring network components is paramount. network monitoring is a vital process that involves overseeing crucial elements like routers, switches, firewalls, servers, and more. To ensure seamless network management and control, organizations rely on specialized network monitoring tools that gather valuable insights. Adopting a proactive approach, network monitoring empowers businesses to identify and address potential issues early, preventing costly downtime and failures. By leveraging the power of network monitoring, organizations can safeguard their operations, optimize network performance, and drive overall success.
This article will explore the top 10 network monitoring companies that excel in providing advanced solutions for network security, analytics, and performance management. These companies have established themselves as industry leaders, delivering comprehensive network monitoring tools that empower businesses to achieve optimal network functionality, bolster cybersecurity defenses, and ensure continuous operational excellence.
1. Arete
Arete is a renowned global cyber risk company for network security and analytics. With a focus on transforming how organizations prepare for, respond to, and prevent cybercrime, Arete is a leader in cyber incident response. Its expertise lies in providing rapid access to world-class cybersecurity professionals worldwide, enabling organizations to mitigate cyber threats within hours. In collaboration with insurance carriers and legal counsel, the company's data-driven approach helps businesses recover from cyberattacks and strengthen their systems for future resilience. Its commitment to collective defense and sharing best practices reinforces its position as a trusted provider of the best network monitoring software.
2. Nuspire
Nuspire, a prominent network monitoring company, emerged as a visionary managed security services provider (MSSP) is driven by a commitment to bridging security gaps and inspiring positive change in the industry. It helps recognize the unique cybersecurity needs of each business. Using a partnership approach, the company works closely with clients to deliver tailored solutions beyond expectations. Nuspire's global reach is impressive, with two offices in the United States and 12 global processing centers and security operations centers (SOCs). Nuspire is trusted by many brands to manage their cybersecurity programs daily. With one of the highest client retention rates in the industry, standing at an impressive 99%, Nuspire has built enduring relationships based on trust and exceptional service.
3. cPacket Networks
With Network-Aware application performance and security assurance solutions, cPacket Network empowers enterprises, governments, and service providers to effectively manage and secure its distributed hybrid environments. Its AIOps-ready analytics platform offers deep network visibility, enabling proactive identification of performance issues before it impacts business applications or end-user experience. It provides reliable, integrated, and user-friendly solutions. cPacket helps organizations reduce complexity, increase security, and enhance operational efficiency. Whether monitoring physical or virtual networks, handling north-south or east-west traffic, or managing hybrid environments, cPacket's cutting-edge technology and AI-enabled predictive monitoring capabilities make them a reliable partner for businesses pursuing digital transformation.
4. CSPi Technology Solutions
CSPi Technology Solutions is an exceptional network monitoring company that sets itself apart with its extensive IT expertise, proven track record of delivering results, flexible approach, and comprehensive service scope. By partnering with leading technology providers and adopting a vendor-agnostic approach, the company ensures the right solutions for its client's unique requirements. Its team of experienced engineers, with specialized certifications in networking, wireless and mobility, unified communications and collaboration, data centers, and advanced security, enables it to deliver superior services across major industries. With a comprehensive portfolio covering the entire IT lifecycle, including vital managed IT services, professional IT services and cloud services, CSPi Technology Solutions is well-equipped to provide proactive network monitoring and address businesses' evolving security and analytics needs.
5. IR
IR is an exceptional network monitoring company at the forefront of the industry, offering innovative solutions in predictive and prescriptive analytics, along with cutting-edge automation capabilities. Its solutions simplify the management of modern communications, payments, and infrastructure environments, ensuring real-time performance issue identification and resolution for seamless user experiences. Used by over 1,000 organizations across 60 countries, including major banks, airlines, and telcos, IR's solutions provide critical insights and ensure high availability and performance for millions of customers worldwide. With a global presence and corporate headquarters in Sydney, Australia, IR continues to create excellence when it matters most, making them a top choice among network monitoring companies.
6. Witbe
Witbe, a leading network monitoring company focusing on innovation in the quality of experience (QoE) industry, offers an acclaimed solution to monitor and ensure seamless user experiences across various interactive services, devices, and networks. Over 300 clients in 50 countries, including broadcasters, operators, content providers, and app developers, rely on Witbe's Robots to guarantee flawless services. As a public company listed on Euronext Growth (ALTWIT.PA) and with a global presence in major cities worldwide, Witbe is renowned for its commitment to delivering exceptional network monitoring solutions for optimal QoE.
7. Radiflow
Radiflow is one of the top network monitoring companies to go to for network security and analytics in 2023. With a focus on uncompromising ICS (Industrial Control Systems) and OT (Operational Technology) security, Radiflow emphasizes the importance of cybersecurity from the beginning. Providing industrial threat detection and risk management solutions empowers customers to make informed decisions and take proactive actions based on data. Known for their cybersecurity expertise and reputation in the OT world, Radiflow's team combines extensive research with innovative approaches to meet industry-specific needs. Additionally, the network monitoring solution provider is a trusted partner by prioritizing visibility and effective management of critical systems.
8. Virtual1
Virtual1 stands out as the UK's most advanced network. Its software-defined infrastructure ensures scalability to meet evolving customer demands while providing exceptional control and empowerment to its partners. Virtual1's team of passionate experts, spread across various locations, consistently pushing industry boundaries to deliver cutting-edge solutions. Additionally, it offers high-capacity connectivity with top-notch security, and the networking provider's solutions guarantee fast, secure, and reliable internet access, which is crucial for business-critical operations. With real-time control, customizable service propositions, and value-added capabilities like firewalls and cloud, Virtual1 is a trusted provider of network monitoring software that seamlessly integrates with critical business systems.
9. Doherty Associates
Doherty Associates stands out for its intelligent IT solutions and services, offering a unique combination of cutting-edge tools and expert skills. Its proactive approach to cybersecurity, coupled with 24/7 support from its London and Kuala Lumpur teams, ensures reliable network monitoring. With a strong focus on sectors prioritizing risk management, such as financial services, law, insurance, and mining, Doherty Associates has offers exceptional customer satisfaction with top solutions to secure and monitor network seamlessly. This network monitoring company’s long-standing client relationship are a testament to its ability to unlock business potential through secure and efficient network monitoring, making them a leading choice in the network monitoring companies list.
10. Wifi SPARK
WiFi SPARK stands out for its SPARK Solution, which caters to over 80 National Health Service (NHS) Trusts in the UK. This comprehensive solution offers secure WiFi for patients, visitors, and staff while integrating tailored patient engagement and analytics solutions with clinical and administrative systems. Significant features include access to entertainment, educational content, dementia support, surveys, and a wide range of applications. With exceptional 24/7 support, WiFi SPARK ensures seamless network monitoring, making it an essential choice among other network monitoring companies.
Key Takeaway
Network monitoring is essential in ensuring the smooth functioning of modern business networks. Organizations utilizing specialized network traffic analysis tools can effectively manage and control network components, detect performance issues, identify faults, and monitor user accounts. Proactive monitoring helps in early problem detection, reducing downtime and preventing failures. To empower business success, partnering with top network monitoring companies that offer advanced solutions for network security, analytics, and performance management is essential. These companies provide comprehensive tools enabling businesses to optimize network functionality, enhancing cybersecurity, and maintaining uninterrupted operations.
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