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Ensuring Network Reliability and Security in the Face of IoT Challenges

Mandana Javaheri

2015 was a banner year for hacking. Security researchers demonstrated that it is possible to remotely hack and control vehicles, hack a pacemaker (thankfully it was in a medical dummy), steal Gmail credentials from a smart fridge and even hack a Barbie doll. As if the traditional security vulnerabilities presented by modern technology weren’t challenging enough, the widespread adoption and use of IoT devices have ushered in more potential security traps and new performance challenges that were not concerns a few years ago.

If we divide IoT security by platform, we are looking at cloud management security, network security, and end-point security. Our focus here is ensuring network reliability and security.

Maintaining network performance, reliability and connectivity while minimizing network latency is difficult for IoT devices. Most early IoT devices were not built with network load or security in mind, and their high rate of adoption has caused some unintended problems. The number and nature of these devices, the amount of information they send over their networks, the number of connections and the 24x7x365 nature of their activities present unique challenges. These include:

Mobile Device Management (MDM)

As individuals and enterprises add more devices to the IoT, it becomes more difficult to manage them individually, creating the need for more and better device management services. Because most device management services are cloud based, the communications between them and the devices that register with them are going through the Internet, and are visible to hackers. And although MDM helps to address the serious problem of managing devices, it also creates more opportunities for hackers to access the devices by masquerading as the management service, or even hacking into the service and accessing the device from the service itself.

Identity Management

Because people use so many sites, it becomes painful to register for each one individually. It takes time. And who can remember all those passwords? As more services offer social media login from Facebook, LinkedIn, Twitter, and other major sites, it becomes easier for hackers to gain access to all of a person’s services through a single login. And even if you do register individually, you have so many passwords, you probably keep them in a file somewhere. Hackers love that.

Remote Device Monitoring

Like any other device, IoT devices need to be monitored for performance, reliability, and security. And like MDM, most monitoring services are in the cloud, meaning the monitoring data is traveling over the Internet, which is not only another opportunity for hackers to access the devices being monitored, but even the monitoring data itself can be used by hackers to find out more about the devices, the networks they are on, and the people using them.

Network Routing

As the IoT gets bigger, it will have to continuously grow with more hardware and software. Each piece of hardware and software is an attack target for hackers. And as new hardware and software become available, there will be new vulnerabilities that hackers will find and exploit, and developers will have to patch. Yes, it is a vicious cycle.

Freedom vs Security

As the IoT becomes more central and necessary to the lives of everybody on this planet, more and more laws will be passed to protect the people who use it from hackers. This raises the age old question about whether the security through legal policy is worth giving up the civil liberties and privacy protection required to achieve it. Remember Braveheart!

The challenges that IoT devices now present shouldn’t come as a surprise. The Internet of Things has only gained real momentum in the past two or three years, so it isn’t realistic to expect two decades of security and networking expertise to be incorporated overnight.

Fortunately, there are a few effective ways to monitor these networks. Although IoT devices are different from normal end-points, you can still monitor device activity, status, connectivity, potential vulnerabilities, unauthorized access, performance metrics and more using network performance monitoring tools. If you have a solution capable of providing visibility into IoT, you can create a baseline for your IoT devices over time to identify anomalies more easily. An in-depth understanding of “normal” network activity levels greatly helps with troubleshooting and identifying network issues and security risks.

While we enjoy IoT devices and everything they enable in our day-to-day lives, visibility is critical to ensure network reliability and security 24x7x365.

Mandana Javaheri is CTO of Savvius.

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Ensuring Network Reliability and Security in the Face of IoT Challenges

Mandana Javaheri

2015 was a banner year for hacking. Security researchers demonstrated that it is possible to remotely hack and control vehicles, hack a pacemaker (thankfully it was in a medical dummy), steal Gmail credentials from a smart fridge and even hack a Barbie doll. As if the traditional security vulnerabilities presented by modern technology weren’t challenging enough, the widespread adoption and use of IoT devices have ushered in more potential security traps and new performance challenges that were not concerns a few years ago.

If we divide IoT security by platform, we are looking at cloud management security, network security, and end-point security. Our focus here is ensuring network reliability and security.

Maintaining network performance, reliability and connectivity while minimizing network latency is difficult for IoT devices. Most early IoT devices were not built with network load or security in mind, and their high rate of adoption has caused some unintended problems. The number and nature of these devices, the amount of information they send over their networks, the number of connections and the 24x7x365 nature of their activities present unique challenges. These include:

Mobile Device Management (MDM)

As individuals and enterprises add more devices to the IoT, it becomes more difficult to manage them individually, creating the need for more and better device management services. Because most device management services are cloud based, the communications between them and the devices that register with them are going through the Internet, and are visible to hackers. And although MDM helps to address the serious problem of managing devices, it also creates more opportunities for hackers to access the devices by masquerading as the management service, or even hacking into the service and accessing the device from the service itself.

Identity Management

Because people use so many sites, it becomes painful to register for each one individually. It takes time. And who can remember all those passwords? As more services offer social media login from Facebook, LinkedIn, Twitter, and other major sites, it becomes easier for hackers to gain access to all of a person’s services through a single login. And even if you do register individually, you have so many passwords, you probably keep them in a file somewhere. Hackers love that.

Remote Device Monitoring

Like any other device, IoT devices need to be monitored for performance, reliability, and security. And like MDM, most monitoring services are in the cloud, meaning the monitoring data is traveling over the Internet, which is not only another opportunity for hackers to access the devices being monitored, but even the monitoring data itself can be used by hackers to find out more about the devices, the networks they are on, and the people using them.

Network Routing

As the IoT gets bigger, it will have to continuously grow with more hardware and software. Each piece of hardware and software is an attack target for hackers. And as new hardware and software become available, there will be new vulnerabilities that hackers will find and exploit, and developers will have to patch. Yes, it is a vicious cycle.

Freedom vs Security

As the IoT becomes more central and necessary to the lives of everybody on this planet, more and more laws will be passed to protect the people who use it from hackers. This raises the age old question about whether the security through legal policy is worth giving up the civil liberties and privacy protection required to achieve it. Remember Braveheart!

The challenges that IoT devices now present shouldn’t come as a surprise. The Internet of Things has only gained real momentum in the past two or three years, so it isn’t realistic to expect two decades of security and networking expertise to be incorporated overnight.

Fortunately, there are a few effective ways to monitor these networks. Although IoT devices are different from normal end-points, you can still monitor device activity, status, connectivity, potential vulnerabilities, unauthorized access, performance metrics and more using network performance monitoring tools. If you have a solution capable of providing visibility into IoT, you can create a baseline for your IoT devices over time to identify anomalies more easily. An in-depth understanding of “normal” network activity levels greatly helps with troubleshooting and identifying network issues and security risks.

While we enjoy IoT devices and everything they enable in our day-to-day lives, visibility is critical to ensure network reliability and security 24x7x365.

Mandana Javaheri is CTO of Savvius.

Hot Topics

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...