Building Block Technologies
What is an operational technology? How is it similar or different than Consumer IoT?
What emerging risks can you identify for an operational technology in a hypothetical utilities distribution monitoring & control environment (pipelines & transmission grids)?
What is Operational Technology (OT)?
Operational technology (OT) refers to hardware and software that detects or causes a change through the direct monitoring and/or control of industrial equipment, assets, processes and events. 1 It's the technology that makes physical systems work. Think of it as the nervous system of industrial operations.
1. news.microsoft.com
Key characteristics of OT:
- Direct Physical Interaction: OT systems interact with the real world, controlling machinery, processes, and infrastructure.
- Real-Time Operations: Many OT systems require real-time or near-real-time responses for critical functions.
- Industrial Focus: OT is primarily used in industrial sectors like manufacturing, energy, transportation, and utilities.
- Reliability and Safety: OT systems often have strict requirements for reliability and safety, as failures can have significant consequences.
- Long Lifecycles: OT equipment often has a long lifespan, sometimes decades, compared to consumer electronics.
OT vs. Consumer IoT:
While both OT and Consumer IoT involve connected devices, they differ significantly:
- Purpose:
- OT: Controls and monitors industrial processes.
- Consumer IoT: Enhances everyday life through convenience and automation.
- Environment:
- OT: Industrial, often harsh environments.
- Consumer IoT: Home, office, or personal environments.
- Reliability and Safety:
- OT: Critical, with high reliability and safety requirements.
- Consumer IoT: Less critical, with varying reliability and safety standards.
- Security:
- OT: Historically isolated, now increasingly connected, with unique security challenges.
- Consumer IoT: Often lacks robust security, vulnerable to attacks.
- Lifespan:
- OT: Long lifespans, often decades.
- Consumer IoT: Short lifespans, rapid obsolescence.
- Data:
- OT: Data is used to control physical processes.
- Consumer IoT: Data is used to enhance user experience.
Emerging Risks for OT in a Utilities Distribution Environment:
In a hypothetical utilities distribution monitoring and control environment (pipelines and transmission grids), the following emerging risks are significant:
- Cyberattacks on Critical Infrastructure:
- Increased connectivity exposes OT systems to cyberattacks, potentially disrupting essential services like electricity and water.
- Ransomware attacks can cripple operations, demanding payment to restore control.
- State-sponsored attacks could target critical infrastructure for sabotage or espionage.
- Supply Chain Vulnerabilities:
- Compromised OT components in the supply chain could introduce malware or vulnerabilities into critical systems.
- Counterfeit or substandard equipment could lead to failures and safety hazards.
- Aging Infrastructure:
- Many OT systems are aging, making them more vulnerable to failures and cyberattacks.
- Replacing or upgrading these systems can be costly and disruptive.
- Insider Threats:
- Malicious or negligent insiders could compromise OT systems, causing disruptions or data breaches.
- This is especially true if the company does not have proper security protocols.
- Lack of Security Awareness:
- OT personnel may lack cybersecurity expertise, making them susceptible to social engineering and other attacks.
- A lack of understanding of new security threats can cause increased risk.
- Convergence of IT and OT:
- The increasing integration of IT and OT systems creates new attack vectors and vulnerabilities.
- This convergence also increases the attack surface.
- Remote Access Vulnerabilities:
- Increased remote access to OT systems, especially during emergencies or maintenance, can introduce new security risks if not properly secured.
- Physical Security:
- Physical access to remote monitoring stations, or pipelines, can be just as damaging as a cyber attack.
- AI and Automation risks:
- As AI and automation become more entrenched in the system, the risks of a single point of failure increase. Also, the risks of AI being manipulated to cause damage increase.