Secure infrastructure.
Quantum ready.

Software implementations of ML-KEM and ML-DSA, with optimisation and hardware acceleration, underpin PQ-enabled gateways, lightweight security frameworks and PQ-HSM solutions. Our protocol work includes PQ-TLS, PQ-DTLS and PQ-EDHOC implementations, plus KEM-based EDHOC authentication for constrained devices. Protection against implementation attacks extends to post-quantum and traditional public-key cryptography. New authentication mechanisms and compact-signature options remain subject to ongoing standardisation.

Design and implementation of FPGA-based modules to accelerate post-quantum cryptographic operations, with side-channel countermeasures. Reconfigurable hardware supports both post-quantum security and efficient edge infrastructure; performance is evaluated for the target platform and workload.

Lightweight architectures, memory-safe design, TPM/HSM integration and real-time operation for embedded systems with limited processing and memory resources. These capabilities support efficient implementations across both technology pillars.

A platform for collecting traces from hardware/software targets and analysing them with a semi-automated workflow to identify side-channel vulnerabilities. It supports implementation-security assessment of cryptographic components, secure nodes and cyber-physical systems.

Multi-functional edge nodes connect OPC UA, Modbus, BACnet and MQTT systems across Ethernet, RS-485, Wi-Fi, 6LoWPAN, IEEE 802.15.4 and Bluetooth networks. Capabilities include secure local storage, secure device identity, AI-based anomaly detection and an embedded MQTT broker, with on-device operation independent of cloud processing.

On-device forecasting models, including convolutional, long short-term memory and fully convolutional neural networks (CNN, LSTM and FCN), support energy-consumption prediction, estimation of future CPS/IIoT node states and preventive maintenance. Local processing supports timely decisions with reduced cloud dependence.

Edge-based AI detects anomalies and malicious activity in OT/IIoT systems, monitors integrity and triggers system self-protection mechanisms. Local analysis supports early threat detection and response with reduced reliance on central infrastructure.

Integrated, secure-by-design systems combine real-time edge analytics, quantum-resistant communication stacks and high-integrity data pipelines. Distributed infrastructure supports high-fidelity digital twins for critical infrastructure and industrial operations.