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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

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...