What Is IoT Security?

What IoT Security Addresses

IoT devices present security challenges that traditional IT security frameworks do not adequately address. Many IoT devices cannot run security agents — they lack the CPU and memory required for endpoint protection software. Many run proprietary firmware that cannot be patched through standard enterprise patch management processes — firmware updates require vendor-provided patches and device-specific update mechanisms. Many use default credentials that users do not change and that are publicly documented in vendor manuals. And many communicate using protocols — MQTT, CoAP, Modbus, BACnet — that enterprise network security tools do not inspect.

IoT Attack Scenarios

Botnet recruitment is the most common IoT attack: Mirai and its derivatives scan for IoT devices using default credentials and compromise them for DDoS attack infrastructure. Medical device attacks target insulin pumps, pacemakers, and infusion systems — devices with documented vulnerabilities that could enable patient harm through remote manipulation. Building automation attacks target HVAC, physical access, and lighting systems that have been connected to corporate networks for remote management without adequate security isolation.

IoT Security Controls

Network segmentation that isolates IoT devices from corporate IT networks is the primary IoT security control. An IoT device that has been compromised cannot reach corporate systems if firewall rules prevent communication between the IoT segment and the corporate network. This requires knowing what IoT devices are deployed and where — an asset inventory challenge that is often more complex than expected in facilities with large numbers of embedded systems.

Default credential changes should be mandatory for all IoT device deployments. Network access control systems can block devices that have not had credentials changed from accessing corporate infrastructure. Firmware update programs keep IoT devices current with vendor-provided security patches. Network monitoring specifically for IoT traffic anomalies — devices communicating with unexpected external destinations, unusual volumes of outbound traffic — provides detection capability for compromised IoT devices.

IoT in PE Portfolio Companies

Manufacturing, healthcare, retail, and building management portfolio companies have significant IoT device populations. Assessing IoT security requires device inventory (often revealing devices IT was unaware of), network topology analysis to evaluate segmentation, and firmware version review to identify devices running vulnerable software. IoT security is a standard component of Cloudskope's M&A due diligence for industrial and healthcare acquisitions.

Related Reading

• OT/ICS Security — the operational technology counterpart facing similar threat patterns
• Network Segmentation — the foundational control that limits IoT device blast radius
• Mobile Security — the adjacent device-security discipline

What is IoT security?

IoT security is the discipline of protecting internet-connected devices like sensors, cameras, smart appliances, building management systems, and industrial equipment from cyber threats. IoT devices typically have constrained computing resources, irregular update cycles, and often run for years with no patches, making them persistent attack surface. Securing IoT requires network segmentation, identity, and inventory management since traditional endpoint controls often cannot run on these devices.

How does IoT security differ from traditional IT security?

Traditional IT security relies on endpoint agents like EDR running on managed Windows, macOS, or Linux systems. IoT devices run embedded or proprietary operating systems where agents are impossible or impractical. Patching is irregular, default credentials are common, and many devices were never designed with security in mind. IoT security has to compensate through external controls including network isolation, traffic monitoring, and certificate-based device identity.

What are the most common IoT attack vectors?

Default and weak credentials remain the dominant entry point: Mirai and successor botnets compromised millions of cameras and routers via default passwords. Unpatched vulnerabilities in firmware that vendors no longer support. Open management interfaces exposed to the internet through misconfiguration. Supply chain compromise of firmware. Network protocols that lack encryption or authentication. Insider abuse of building access controls and surveillance systems.

What tools and platforms support IoT security?

IoT and OT visibility platforms including Claroty, Armis, Nozomi Networks, and Dragos discover devices passively and monitor network behavior. Microsoft Defender for IoT integrates with Azure for cloud-managed protection. Network access control tools from Cisco ISE, Aruba ClearPass, and Forescout enforce policy. ZTNA platforms can broker access to management interfaces. SIEM and SOC platforms correlate IoT telemetry with broader security data.

How do organizations build an IoT security program?

Programs start with passive network discovery to build a device inventory since IoT devices often appear without IT awareness. Segmentation isolates IoT devices from corporate systems and from each other to limit blast radius. Default credentials are eliminated and management interfaces restricted. Vendor risk reviews include firmware update commitments. Monitoring detects unusual behavior. Procurement standards require security baseline before new devices are deployed.

What major incidents have IoT vulnerabilities caused?

The 2016 Mirai botnet compromised hundreds of thousands of IoT devices and used them to launch the largest DDoS attack at the time, taking down Dyn DNS and major US websites. The Verkada camera breach in 2021 exposed live feeds from 150,000 cameras inside hospitals, schools, and prisons. The Target breach in 2013 used HVAC vendor remote access as an entry point. Each demonstrated that IoT compromise enables broader enterprise impact.

What is the first step in IoT security?

Build an inventory using passive network discovery so you actually know what IoT devices exist on your network. Most organizations discover 30 to 50 percent more devices than IT records show, including conference room equipment, badge readers, and printers that have not been touched in years. The inventory drives segmentation prioritization and reveals the highest-risk devices to address first.

Real-World Example: Verkada Camera Breach 2021 — IoT at Enterprise Scale

In March 2021, hackers accessed the video feeds and administrative systems of Verkada, a cloud-based security camera company, gaining access to approximately 150,000 cameras deployed in hospitals, schools, police departments, prisons, and corporate offices including Tesla and Cloudflare. The attackers gained access through an exposed administrator account, then used that access to reach individual camera feeds. The breach illustrated that IoT security failures affect not only the device owner but every individual captured by those devices — patients in hospital wards, detainees in jails, employees in corporate offices.