Internet of Things

Connected cars face a range of ever-increasing and ever-progressing cyberthreats. Our forward-looking research provides an in-depth examination of the risks connected cars might run into.
The use of connected cars continues to grow. While the vehicles’ link to technologies such as 5G and the cloud present opportunities for improving efficiency and safety, it can also attract risks from threat actors as well.
The 4G/5G campus network demonstrates the growing role of telecom technologies in different industries. Organizations and IT/OT experts need to keep up with these changes and consider their security implications.
As the IoT continues to influence more environments and settings, we review what IoT security is and why it remains essential today.
As connected cars become more commonplace, the UN Regulation No. 155 sets guidelines to ensure cybersecurity in vehicles. This research assesses the risks of its highlighted attack vectors and looks beyond its scope to identify top priorities.
Beijing’s traffic authority gives tech company Baidu a go-ahead for testing self-driving cars on its public roads. What does this mean for self-driving cars and technologies?
Blockchain is one of the key concepts in IoT conversations today, touted to accelerate the scaling of IoT implementations. However, due to its nascent nature, what could be the potential risks, and how can blockchain play a role in IoT security?
A critical factor contributing to the increasing expenses on mobile phones is fraud. Recently, the cost of criminal telecom equipment has decreased to the point that individuals can launch attacks. Read our report produced in collaboration with Europol.
As the field of telecommunication continues to evolve, so should its security. Understanding its current threat landscape can help reduce the impact of crimes like telecom fraud and prepare us for future threats in the age of the IoT.
Our latest research explored threats to 5G connectivity — from SIMjacking, identity fraud, fake news, and poisoning machine learning rules to manipulating business decisions — and found that they can be addressed through an identity-based approach to security.
The legacy programming environments of widely used industrial machines could harbor virtually undetectable vulnerabilities and malware. Our security analysis of these environments reveals critical flaws and their repercussions for smart factories.
The legacy programming environments of widely used industrial machines could harbor virtually undetectable vulnerabilities and malware. Our security analysis of these environments reveals critical flaws and their repercussions for smart factories.