Industrial Systems

Secure Industry 4.0 – Smart Manufacturing and Just-In-Time Supply Chain Models

asvin BeeHive IoT patch management for continuous and secure IIoT in production

The scaling of the Industrial Internet of Things (IIoT) presents both enormous opportunities and a myriad of challenges. Among the challenges related to smart manufacturing and smart production are organising remote maintenance for IIoT assets with the proviso of continuous production and the reliable functionality of smart assets and the cyber safekeeping of systems.

Challenges

Remote Maintenance of Industrial IoT Assets

Up-to-date software is the absolute linchpin of today’s complex industrial manufacturing systems. Optimal production cycles rely upon IoT sensors and other connected digital industrial assets, and with just-in-time supply chain models, it is critical to avoid downtimes and expensive onsite maintenance. Software and security updates must cascade during precisely-defined windows of production suspension.

Cybersecurity during Lifecycle

Industrial hardware is built to guarantee uninterrupted operation over extended periods of time, whereas the software running these assets is subject to continuous updating. Industry 4.0 assets are vulnerable to cyberattack and that risk must be alleviated.
Avoiding downtimes in production caused by cyber attacks.

Risk Management and Monitoring of IIoT Operations

Whether the vulnerability is identifying a changing behaviour of devices indicating operational problems, preventing a cyberattack, or losing overview control of smart industry firmware and software assets, all of these are risks that must be contained.

Optimizing IIoT Operational Costs

The failure to launch digital transformation initiatives is negatively impacting the resiliency and revenues of many industries. And while the total cost of ownership for IIoT operations is not easily calculated one thing is certain software is outdated faster than hardware and mitigating high onsite maintenance costs is essential.

Solutions

asvin Beehive: Manage, Update, and Control Device Fleets

asvin’s Beehive is an easy-to-use intuitive online platform that ensures administrative control and provides an overview of your organisations’ Internet of Things devices in operation. asvin Beehive allows organisations to establish user groups and define roles to manage and control tasks such as blacklisting and whitelisting fleet devices, gain access to the telemetric data of specific IIoT devices and plan maintenance actions for groups of specific IoT devices. asvin Beehive can be integrated into Smart Manufacturing architectures and platforms via open standards such as JSON, MQTT, OPC UA, and REST.

asvin Ant Street: Over-The-Air Updates and Patch Distribution

Plan, schedule, and rollout distribution of updates and security patches to IoT device fleets via asvin’s cryptographically secure and distributed just-in-time by decentralized technology (DLT) Ant Street. Updates are cascaded to the right device within predetermined scheduled maintenance windows. asvin’s Ant Street supports OTA updates for IoT-specific RF protocols as LoRaWAN, 5G, NB-IoT, to name just a few.

asvin Paw Print: Unique IDs and Fingerprints for IoT Devices, Software, and Firmware

Create and store unique IDs for IoT devices and their related hardware and software with physical unclonable functions (PUF) and trusted platform modules (TPM) for embedded systems in an immutable DLT for maximum resilience.

asvin Trackhound: Software Supply Chain Tracking

asvin’s Trackhound brings transparency into the software supply chain. From initial device installation and software deployment, subsequent OTA updates, and security patch distribution to forensic audits, Trackhound allows administrators to increase network security and ensure software integrity. Track and trace the entire software supply chain and lifecycles for IoT device fleets.

asvin Eagle Eye: Risk Management, Monitoring, and Alarming

asvin’s Eagle Eye renders continuous monitoring of IoT device fleets. Using advanced machine learning analytics (AI) asvin’s Eagle Eye provides anomaly detection to ensure network and individual registered device integrity. In the event of a cyber-attack or operational dysfunctionalities, Eagle Eye’s risk management and alarming protocols are triggered and support counteraction including isolation of vulnerable devices. Fulfills ISO/SAE 21434 industrial cybersecurity standards.