An IoT denial of service attack overwhelms devices with traffic, making them unresponsive. This article explains these attacks and offers strategies to protect your devices.

Security identity and access management (IAM) is crucial for protecting digital identities and controlling access to sensitive resources. This guide covers the importance of IAM, its key components, and how to enhance security through methods like role-based access control and multi-factor authentication.

Effective data management in IoT is essential for leveraging the vast data generated by interconnected devices. This article provides practical tips on collecting, processing, storing, and securing IoT data. Discover how to overcome challenges like scalability and data quality and implement strategies for better decision-making and operational efficiency.

The landscape of connected vehicles is evolving at a breakneck pace. From software-defined vehicles (SDVs) to autonomous driving, the automotive industry has become a nexus for innovation and vulnerability. As Ran Ish-Shalom, Chief Product Officer at Argus Cyber Security, aptly stated during a recent session: Brian Carpenter from CyberArk reinforced this, emphasising the growing complexity of managing identities across both human and machine ecosystems.

At the Device Authority Virtual Summit, Kaivan Karimi discussed how, as IoT and OT ecosystems grow more intertwined, especially within the automotive industry, the stakes in cybersecurity have never been higher. Connected vehicles, once a novel innovation, are now mission-critical infrastructure vulnerable to advanced threats.

The rapid evolution of the Internet of Things (IoT) and Operational Technology (OT) is transforming industries, especially in critical sectors like healthcare. While these innovations promise enhanced efficiency and connectivity, they also expose organisations to a broader and more complex cybersecurity threat landscape. With quantum computing on the horizon, the stakes have never been higher.

As we embrace a connected world where machines have literal and figurative voices, we stand at the confluence of opportunity and responsibility. The IoT and OT landscape continues to evolve rapidly, bridging the physical and digital worlds. However, as Miguel Morales aptly highlighted during the Device Authority Virtual Summit 2024, the promise of IoT hinges on one critical factor: trust.

The intersection of IoT (Internet of Things) and OT (Operational Technology) in healthcare has become a focal point in securing critical infrastructure. With the industry accounting for 9% of global GDP and integrating thousands of devices, from bedside monitors to surgical robots, the stakes couldn’t be higher. The journey from isolated systems to hyper-connected healthcare environments has unlocked unparalleled efficiency and innovation. Yet, it has also introduced unprecedented security risks.

As organisations increasingly rely on IoT devices for operational efficiency and data collection, managing each device securely throughout its lifecycle becomes crucial. IoT Device Lifecycle Management (DLM) is a structured approach to securing IoT devices from their initial setup through to decommissioning. By implementing best practices for each stage, organisations can reduce security risks, ensure data protection, and maintain compliance with regulatory standards.

Trend Micro’s recent report on the Water Barghest threat actor underlines a critical issue that has long plagued the IoT ecosystem: the security shortcomings inherent in many connected devices. With over 20,000 IoT devices compromised and exploited as residential proxies within minutes, this story highlights the growing risks posed by insecure IoT devices and the urgent need for proactive security measures.