Electra AI and Naoris to Develop Post-Quantum Security for Energy Systems

Electra AI and Naoris partner on post-quantum cybersecurity for energy systems.

Electra AI and Naoris Quantum Protocol have announced a partnership to develop a post-quantum cybersecurity framework for AI monitoring of local energy infrastructure, according to The Quantum Insider.

The project will combine Electra AI’s AI Brain for Batteries platform with Naoris Quantum Protocol’s decentralized trust layer. The companies aim to protect telemetry, firmware, and data that AI systems use for decision-making in monitoring and optimization. This involves connected infrastructure such as storage systems, local energy networks, renewable energy facilities, data centers, electric vehicles, and robotics.

What Will Be Protected

In such facilities, AI systems process telemetry data like temperature, voltage, charging cycles, cell condition, degradation levels, and other parameters. These data influence practical decisions, such as when to charge or discharge a battery, how to extend its lifespan, reduce failure risk, and manage storage within a local energy system.

If input data is altered, corrupted, or comes from an unreliable device, AI may draw incorrect conclusions. Therefore, the partners emphasize verifying data at the source, not just securing the communication channel.

Naoris’ Role

Naoris Quantum Protocol will add an extra layer of security to the system based on post-quantum cryptography, the Decentralized Proof of Security mechanism, and decentralized device integrity verification.

The partners believe this will enable battery energy systems to continuously verify the reliability of connected devices and confirm that data comes from a trusted source. This approach is particularly important for distributed infrastructure, where equipment is located at remote sites and operates without constant physical oversight.

Why Post-Quantum Protection Is Needed

The companies note that battery systems often operate for 10–15 years or longer. During this time, cryptographic requirements may change, and some of today’s algorithms could become vulnerable to sufficiently powerful quantum computers.

One risk is the “collect now, decrypt later” scenario, where an attacker saves encrypted data now to decrypt it in the future as quantum computing advances. This could affect not only information confidentiality but also equipment management, including firmware, commands, event logs, and maintenance data.

Planned Applications

The companies plan to use the framework in energy storage systems for power grids, renewable energy, and data centers. Other areas include electric transport, robotics, and space systems.

At this stage, the focus is on developing a general infrastructure for secure AI monitoring of local energy systems, rather than launching a finished product.

Earlier, Keeper Security CEO Darren Guccione suggested that AI and quantum technologies could threaten existing security systems.