The Internet of Things has quietly become one of the biggest pieces of digital transformation, linking everything from kitchen appliances to industrial machinery. Smart homes, self-driving cars, wearables, smart TVs, utility meters, connected public infrastructure — all of it runs on IoT.
The growth numbers are hard to ignore. Statista put the total number of connected IoT devices worldwide at 30.9 billion by 2025, and the technology could add somewhere between $4 trillion and $11 trillion in global economic value. Verizon’s Mobile Security Index found that a third of public-sector organizations already run 1,000 or more IoT devices, and 7% have crossed 10,000.
The upside is obvious — automation, lower costs, time saved, devices that talk to each other without a person in the loop. Security is the catch. In one survey, 99% of security professionals said they’d run into worrying security issues with IoT and industrial IoT (IIoT) devices.
Here are nine of the biggest security challenges facing IoT going forward.
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Weak and default credentials
A lot of IoT devices ship with default usernames and passwords, and that’s a gift to hackers. Manufacturers racing to get products out the door sometimes bake in credentials that are trivial to exploit — just knowing the username is often enough to start a brute-force attack.
The Mirai botnet is the textbook example of what can go wrong here. Consumers ought to be able to change their password the moment they take a device out of the box, but plenty of devices still don’t support that, or don’t explain how.
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Connectivity bottlenecks
More edge devices means more strain on networks. Without a solid edge computing setup, organizations run into latency and bandwidth problems.
Centralized cloud networks don’t help — funneling all that device data back to central servers creates traffic jams and delays. For anything that depends on real-time data, like autonomous vehicles, that lag can be dangerous.
Beefing up on-device processing and spreading the workload across edge data centers can ease the pressure, and it also opens the door to extending network services into remote areas — useful for industrial IoT in agriculture and manufacturing.
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Not enough testing or updating
Once a lot of IoT devices ship, they rarely see another major update or security patch. Vulnerabilities just pile up.
Rushed testing and competitive pressure to launch fast often mean security gets shortchanged from the start. Manufacturers need to treat security as an ongoing job, not a box to check before release, and keep patching devices throughout their working life.
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Predicting and preventing attacks
Finding the vulnerabilities that already exist isn’t enough anymore — hackers are actively hunting for new ones, so manufacturers have to get ahead of them.
That means building in threat intelligence that can spot and respond to risks before they’re exploited, and increasingly, leaning on AI and analytics to do it.
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Customer skepticism
People are more wary of IoT security than they used to be, and that’s a real problem for companies betting on smart-home growth.
Trust gets built through transparency — being upfront about how data is used and keeping security genuinely current, not just on paper. There’s no shortcut here; it takes consistent follow-through.
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Weak IoT administration
Managing an IoT deployment well takes the right technology stack: tools, infrastructure, clear operational protocols, workflows, and standards that actually get followed.
If any one of those pieces is missing, the whole system gets harder to run and easier to break.
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Leaning on automation for data management
IoT devices produce a staggering amount of data, so AI and automation are basically required to manage it. The catch is that configuring the rules for traffic patterns is genuinely difficult.
One bad configuration can trigger a major outage — a risk that gets more serious the bigger the organization and the more essential the service.
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Securing the edge
Every device added to an edge network is another door for attackers. Complex architectures make defending that perimeter harder, especially when devices roam between networks and pick up malware along the way.
A zero-trust model helps: assume every device could already be compromised, and require real authentication and checks before letting anything connect.
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Government regulation
Laws move slower than IoT technology does. Data protection rules have gotten more attention lately, but regulation specific to how IoT systems are deployed and managed is still catching up.
In the meantime, IoT companies can work with data centers that build compliance into how they operate — facilities that already have the infrastructure to handle IoT data responsibly.
