What Is IoT Security? A Complete Overview

People all over the world use IoT devices for privacy-sensitive tasks, ranging from internet browsing to remote monitoring of personal assets. Just how many people? Well, an estimated 15.9 billion IoT devices are in use globally today, and the number is expected to reach 32.1 billion by 2030.

That’s why IoT security is a serious topic. Let’s examine this concern, which affects billions of users around the world who interact with or consume IoT services or use IoT devices.

What is IoT security?

IoT security is a threat protection mechanism and cybersecurity strategy that defends IoT devices connected to a network against vulnerabilities. Potential IoT security vulnerabilities include:

(Related reading: common types of vulnerabilities.)

What does IoT security do?

The primary objective of IoT security is to preserve the integrity, confidentiality, and availability of the data, systems, and users interacting with these devices. Any security attributes apply on three levels of the technology stack:

Most IoT devices operate as endpoint devices for data collection in the first tier. Thus, they can perform simplified tasks at scale. Naturally, any security loophole or defect at this level opens the door to cybersecurity threats at a minimum, or worse, a large-scale attack.

(Related reading: IoT monitoring.)

An example of IoT security

To understand the concept of IoT security better, let's take an example of a smart home security system and see what can go wrong. Such systems use various IoT devices — smart cameras, alarms, motion sensors, biometric sensors, Wi-Fi signals, smart locks — to monitor and secure your home.

But, what if any part of a given device has a vulnerability? Cyberattackers can exploit these security weaknesses and intercept the personal data that these systems transmit.

Attackers exploited a vulnerability in Amazon's Ring camera, gaining unauthorized access to several doorbell cameras and home monitoring systems. They were able to access live camera feeds, control the devices remotely, and communicate with the homeowners using speakers and microphones integrated into these devices. (Now that is scary.)

Why IoT security matters

How big is that threat, and what makes IoT security so important? Let’s take a quick look at the stats:

Existing IoT security standards and legislations

Governments have enacted several regulations and standards to enhance IoT security. These include:

Security challenges for the IoT

Let’s evaluate IoT security challenges from the viewpoint of IoT architecture, digital transformation, and usage trends:

IoT as dumb terminals

Although a collection of IoT devices is used to discover hidden insights and unique patterns in complex real-world systems, the functionality of a single endpoint device tends to be simple, such as measuring repetitive intervals. This means that the underlying hardware and software system is also simple and not designed for any complex operation.

Exploiting a known vulnerability in these devices may not require sophisticated hacking capabilities, but the damage can affect many devices.

(Learn about endpoint monitoring.)

IoT as highly distributed and heterogeneous technologies

Due to the significant distribution of IoT devices, device manufacturers likely do not comply with universally acceptable security standards and best practices, which can lead to security vulnerabilities.

User awareness and IoT

End-users may need to be adequately aware of the consequences of sharing sensitive information via IoT devices. A user may also inadvertently transmit sensitive information over the network, especially when the devices and networks are hacked to collect information without user consent and knowledge.

Cost-benefit analysis

Business organizations may need more resources to periodically assess, monitor, and upgrade IoT devices for security improvements. Conversely, cybercriminals may exploit simple security vulnerabilities with off-the-shelf malware sold on the dark web.

An important perspective here is that the cost savings from postponing a security update that temporarily disrupts IoT network operations is far outweighed by an IoT network intrusion resulting from vulnerable IoT devices.

Market competition and IoT security

Many business organizations use real-time information as a key competitive differentiation. In doing so, they may stretch the boundaries of user privacy expectations and regulations.

Privacy by design vs. IoT security

The very thing that makes IoT devices great — they’re designed to collect information continuously and ubiquitously — is also what makes them reliable cybersecurity targets.

Unlike personal smart devices such as laptops and smartphones, which are protected by multiple layers of security at the hardware, software, and operating system levels, IoT devices are always on and can be accessed from anywhere, given access authorization.

In the case of IoT devices as dumb terminals, access controls may be limited to pin codes or network protocol verifications by interacting with external services. The endpoints themselves may fall short of the necessary features to enable privacy and security by design.

Securing the IoT: security best practices

To develop secure IoT systems, business organizations must reconsider a variety of controllable factors pertaining to IoT security.

First, consider the heterogeneous and distributed nature of IoT devices. All three tiers of the IoT technology stack — machine-level hardware, network communications, and service interfacing — should conform to the industry-proven security best practices and applicable security regulations.

Secondly, IoT data should be regulated by strict authentication and access controls, following the principle of least privilege access.

And perhaps most importantly, consider how you secure

Below are some strategies you can use to mitigate IoT security risks.

Patch and update firmware

Firmware is commonly an insufficiently protected attack surface. Yet, cyber attackers are always looking to exploit these weak points in security to distribute malware and compromise data. Firmware updates and patches help you add new security features that fix new security vulnerabilities. By mitigating vulnerabilities, you reduce the attack surface. While you can update firmware manually, over-the-air (OTA) updates allow you to update code on connected IoT devices remotely.

(Related reading: attack surface management.)

Use digital certificates

One of the identity-first security mechanisms you can use for IoT is public key infrastructure (PKI). PKI provides digital certificates that you can use to secure device communication, code signing, and device authentication.

Specifically, you can use digital certificates to authenticate IoT devices during initial connection. This ensures that only validated devices can participate in an IoT ecosystem. You can also use these certificates to validate the authenticity of data packets transmitted in between IoT devices, preventing data tampering.

Encrypt data

IoT devices send and receive a lot of data, which enables them to work in real-time. Encryption helps prevent eavesdropping attacks by protecting this data when in transit and when stored on IoT devices. This happens with the use of encryption algorithms for IoT. They include:

Use IoT detection services

These are subscription services that help you reduce the attack surface by monitoring and providing visibility into all devices connected to an IoT network, validating new devices joining the network, and enforcing appropriate security policies against them. These services analyze device activity patterns to detect anomalies.

Related Articles

What Are Servers? A Practical Guide for Modern IT & AI
Learn
4 Minute Read

What Are Servers? A Practical Guide for Modern IT & AI

Learn what a computer server is, how servers work, common server types, key components, and how to choose the right server for your organization.
Identity and Access Management (IAM) Explained: Components, AI, and Best Practices
Learn
9 Minute Read

Identity and Access Management (IAM) Explained: Components, AI, and Best Practices

Learn what Identity and Access Management (IAM) is, why it matters, key components like SSO and MFA, AI integration, and best practices for secure access.
Risk-Based Vulnerability Management (RBVM) Explained
Learn
6 Minute Read

Risk-Based Vulnerability Management (RBVM) Explained

Managing vulnerabilities is a critical security practice. Learn about the RBVM approach: using risk factors to inform vulnerability management.
Your 2026 IT and Technology Salary Guide: Tech Trends Driving the Year’s Highest-Paying Jobs
Learn
6 Minute Read

Your 2026 IT and Technology Salary Guide: Tech Trends Driving the Year’s Highest-Paying Jobs

This blog post will review, roundup, and summarize some of the latest trends for IT salaries and roles to help you get a clear view of the landscape.
Are You Prepared for Data Breaches? How to Limit Exposure & Reduce Impact
Learn
5 Minute Read

Are You Prepared for Data Breaches? How to Limit Exposure & Reduce Impact

Data breaches can happen in many ways — ransomware, phishing, accidental exposure — but one thing is clear: our data is being breached all the time.
Zero-Day Attacks: Meaning, Examples, and Modern Defense Strategies
Learn
4 Minute Read

Zero-Day Attacks: Meaning, Examples, and Modern Defense Strategies

Nothing described with “zero” sounds good. That’s absolutely the case here, when it comes to zero-day vulnerabilities, exploits and attacks.
AI Infrastructure Explained: How to Build Scalable LLM and ML Systems
Learn
4 Minute Read

AI Infrastructure Explained: How to Build Scalable LLM and ML Systems

Discover what AI infrastructure is, why it matters, and how compute, storage, networking, ML frameworks, and observability work together to enable scalable, high-performance AI systems.
How to Use LLMs for Log File Analysis: Examples, Workflows, and Best Practices
Learn
7 Minute Read

How to Use LLMs for Log File Analysis: Examples, Workflows, and Best Practices

Learn how to use LLMs for log file analysis, from parsing unstructured logs to detecting anomalies, summarizing incidents, and accelerating root cause analysis.
Beyond Deepfakes: Why Digital Provenance is Critical Now
Learn
5 Minute Read

Beyond Deepfakes: Why Digital Provenance is Critical Now

Combat AI misinformation with digital provenance. Learn how this essential concept tracks digital asset lifecycles, ensuring content authenticity.