Executive Insight: TruVolt.ai isn't just a firewall; it is an Integrated Cyber-Physical Fabric. Combining Teleseer which ensures the data is real, and Equitus Graphixa which ensures the decision is right.
"Immune System" of the BESS architecture. While the KGNN (Knowledge Graph Neural Network) provides the "brain" for thermal and power optimization, Teleseer acts as the "sensory nerves," ensuring that every piece of data entering that brain is authentic, un-tampered, and arrives in real-time.
AIMLUX.ai : Cyber-Physical Resilience: Teleseer & Equitus Integration
1. The Challenge: "Garbage In, Disaster Out"
In a 150 MWh system, the AI (KGNN) makes split-second decisions on container switching and PID tuning. If an attacker injects a spoofed "Over-Temp" packet, the AI might unnecessarily shut down healthy containers, causing a grid-frequency collapse.
2. Teleseer: The High-Fidelity Data Validator
Teleseer utilizes Deep Packet Inspection (DPI) and PCAP (Packet Capture) analysis to provide a "Zero Trust" layer for physical signals.
Protocol Sanitization: Teleseer inspects CAN bus and Modbus/TCP traffic at the bit level. It identifies "Non-Standard" packet structures that could indicate a Buffer Overflow attempt on the BMS.
Temporal Fingerprinting: It monitors the "Heartbeat" intervals of the 2 MWh containers. If a packet arrives outside of its 10ms window, Teleseer flags it as a potential Man-in-the-Middle (MitM) delay attack.
Behavioral Baseline: It creates a "Network Digital Twin." Any shift in communication patterns between the HVAC and the Inverter triggers an immediate alert to the human interface (AIMLUX.ai).
3. Protecting the Equitus KGNN (The "Brain")
The Equitus Fusion KGNN is only as secure as the relationships it maps. Teleseer feeds "verified" edges into the graph.
Logic Integrity: By validating the source of every Amp and Temperature reading, Teleseer ensures the KGNN isn't learning from malicious data (Data Poisoning).
Automated Forensics: If an anomaly is detected, Teleseer provides the raw PCAP file tied to that specific Graph Node. An Automation Engineer can use TruVolt to rewind the network state and see exactly when the "Cyber-Physical" drift began.
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