IoT security requires specialized approaches because connected devices often lack built-in security capabilities. Traditional IT security focuses on endpoints with robust operating systems and security agents, while IoT security emphasizes network-level monitoring and behavioral analysis. IoT devices use lightweight protocols with limited update capabilities, requiring compensating network controls and coordination between engineering and IT teams.
Internet of Things (IoT)
The Internet of Things (IoT) refers to network-connected devices that collect and exchange data but often lack built-in security, leaving them vulnerable to cyber threats.
What Is the Internet of Things?
The Internet of Things (IoT) is a network of physical devices embedded with sensors, software, and connectivity that enables them to collect and exchange data over the internet. IoT devices range from industrial control systems and SCADA platforms to smart building infrastructure like HVAC controls and access systems.
These connected devices create significant security risks for organizations. Most IoT devices lack built-in security features, making them targets for default credential attacks and network infiltration. When IT systems connect with operational technology (OT) environments through IoT, the potential damage from security failures increases dramatically. Attackers use AI-driven social engineering campaigns to target IoT infrastructure and gain access to critical systems.
What Are the Different Types of IoT Devices?
Enterprise IoT deployments span multiple categories, each presenting unique security challenges. These categories include the following:
Industrial Control Systems (ICS)
Industrial IoT devices include SCADA systems, Distributed Control Systems (DCS), and Programmable Logic Controllers (PLCs) that manage critical operational processes. These systems increasingly connect to corporate networks for remote monitoring despite traditionally operating in isolated environments. Ransomware attacks targeting OT/ICS networks create a potentially catastrophic operational impact.
IT/OT Convergence Devices
Network equipment bridges traditional IT and operational technology environments, creating complex security challenges. These devices include industrial gateways, edge computing platforms, and hybrid systems processing both business data and operational control signals. Organizations report significant technical and cultural differences between teams managing these converged systems.
Smart Building Infrastructure
Connected building systems include HVAC controls, lighting management, access control systems, and environmental monitoring devices. These IoT implementations span multiple network segments with varying security policies, creating visibility gaps that attackers exploit for lateral movement.
How Does the Internet of Things Work?
IoT security architecture operates through four interconnected layers that create both operational value and cybersecurity risk.
Device Layer: Physical IoT devices collect data through sensors, actuators, and embedded computing systems. These endpoints run lightweight operating systems with minimal security controls, creating vulnerabilities that require network-level monitoring and access controls.
Network Layer: Communication protocols enable device connectivity through wireless, cellular, or wired connections. This layer requires encryption, authentication, and traffic analysis to detect unusual behavior indicating compromise.
Platform Layer: Cloud-based or on-premises platforms aggregate IoT data for processing and analysis. These systems manage device provisioning, firmware updates, and security policy enforcement while integrating with enterprise security infrastructure.
Application Layer: User interfaces and business applications consume IoT data to drive operational decisions. This layer presents attack surfaces through web interfaces, mobile applications, and API endpoints requiring secure development practices and continuous vulnerability management.
How Is IoT Used in Security Applications?
Security teams deploy the following IoT-specific detection and response capabilities to address unique connected device challenges:
Behavioral Analysis Platforms: Advanced solutions employ hybrid threat detection combining signature-based detection with behavioral anomaly analysis to identify zero-day attacks targeting IoT devices.
Network Visibility Tools: Comprehensive monitoring platforms provide continuous visibility into wireless communications and device behavior patterns that traditional security tools cannot detect.
Asset Discovery Systems: Automated device identification catalogs all connected endpoints across IT and OT environments, ensuring complete inventory management for compliance and risk assessment.
Microsegmentation Solutions: Network security controls implement specific traffic policies between IoT devices and critical business systems, containing potential data breaches and limiting attacker lateral movement.
What Are the Risks and Challenges of IoT?
The scale of IoT interconnectedness amplifies known security risks and creates new attack vectors that organizations must address. Here are some of the most common risks and challenges associated with IoT:
Security and Privacy Vulnerabilities
IoT devices often ship with weak authentication that attackers exploit to gain network access. Cybercriminals infect large segments of devices simultaneously, accessing sensitive data or using devices in distributed attacks. Compromised devices expose operational data and enable account takeover attacks targeting connected users.
Interoperability and Visibility Challenges
Devices from different manufacturers use varying communication protocols, preventing unified security monitoring. This fragmentation creates blind spots where threats move between device ecosystems without triggering detection. Security teams struggle to maintain consistent policies across different IoT environments.
Data Management Complexity
Organizations struggle to process the volume of data generated by IoT devices, missing critical security signals amid operational noise. Without proper analytics capabilities, teams cannot identify subtle behavioral changes indicating compromise or detect data exfiltration through legitimate-looking communications.
Implementation and Compliance Barriers
Securing IoT environments requires specialized expertise for network segmentation and device lifecycle management. Coordinating security controls across IT and OT systems demands collaboration between teams with different priorities. Data protection and privacy laws vary across jurisdictions, requiring compliance across multiple frameworks.
How Can Organizations Prevent and Mitigate IoT Risks?
Organizations strengthen IoT security through strategic controls and operational practices, reducing attack surfaces and improving threat visibility.
Review Security Configurations
Most IoT devices offer features that balance convenience against security. Organizations should examine settings carefully with steps such as:
Reviewing security settings and selecting options meeting operational needs without creating unnecessary risk
Reevaluating configurations after software updates or when new vulnerabilities emerge
Disabling unused features, expanding the attack surface
Documenting configuration standards for consistent deployment across device fleets
Maintain Current Software Versions
Manufacturers issue patches fixing known vulnerabilities. Also, applying updates promptly protects devices from exploitation. Here are some more steps that organizations must take:
Establish processes for tracking security advisories from device manufacturers
Test patches in controlled environments before wide deployment
Automate security updates where feasible to reduce administrative burden
Maintain an inventory of devices requiring manual update procedures
Control Network Connectivity
Continuous Internet connectivity expands exposure to potential attackers. Organizations should evaluate whether persistent connections are operationally necessary and take the following steps:
Implement network segmentation between IoT devices and critical business systems
Deploy certificate-based authentication for device-to-system communications
Configure specific traffic controls with automated policy enforcement
Monitor unusual connection patterns indicating potential compromise
Enforce Strong Authentication
Default passwords configured for easy setup provide no protection. Strong authentication barriers prevent unauthorized access. The steps for this are as follows:
Replace default credentials immediately during device provisioning
Implement password policies requiring complexity and regular rotation
Deploy multifactor authentication where supported by device capabilities
Use centralized identity management for consistent credential governance
Integrate Security Frameworks
Comprehensive IoT security requires alignment with established cybersecurity frameworks and regular vulnerability assessment. For this, organizations can begin with:
Following the NIST cybersecurity framework guidelines for IoT environments
Conducting regular vulnerability assessments
Integrating IoT monitoring with existing SIEM platforms for unified threat visibility
Establishing device lifecycle management covering provisioning, updates, and decommissioning
Secure your organization against IoT threats with Abnormal’s behavioral AI solutions. Book a demo today to learn more.
Frequently Asked Questions (FAQs)
Get the Latest Email Security Insights
Subscribe to our newsletter to receive updates on the latest attacks and new trends in the email threat landscape.
Featured Resources

Product
The Last 1% of Attacks: Rise and Fall of the SEGMay 29, 2025
/
5 min read

Artificial Intelligence
AI, People, and Policy: What We Learned from Convergence Season 4May 22, 2025
/
6 min read

Threat Intel
Legitimate Senders, Weaponized: How Abnormal Stops Email Bombing AttacksMay 19, 2025
/
6 min read

CISO Insights
Through the Looking Glass: A CISO's Take on RSAC 2025May 09, 2025
/
7 min read