DERSec bridges the gap
between your SOC Operations
and Distributed Energy

The world’s first cyber-physical security layer designed to provide total visibility and real-time protection for AI data centers, microgrids, and critical energy infrastructure.

See Features How DERSec uses AI
DERSec platform architecture diagram Hover to zoom

A unified cyber-physical security platform for distributed energy infrastructure — from cloud to edge.

DERSec Cloud Platform

Fleet-wide cyber-physical visibility and control.

Centralized control plane for securing and operating distributed energy fleets at scale. Ingests protocol telemetry, power measurements, and operational metadata to deliver real-time cyber-physical visibility across DERs, VPPs, microgrids, and AI data centers.

A single system of record for asset posture, protocol behavior, physics validation, and fleet-wide risk — integrated into SOC and grid operations workflows.

Cloud capabilities
  • Fleet-wide asset discovery and fingerprinting
  • Real-time cyber-physical threat detection
  • Power Indicators of Compromise (PowerIOC)
  • Physics-aware alerting and correlation
  • SOC and OT platform integration
  • Digital twin intelligence and behavior modeling

DER Protocol Intelligence

Deep visibility into the protocols that move power.

Built natively for distributed energy control protocols. DERSec understands both network behavior and physical impact — enabling deterministic validation of control actions and detection of protocol abuse that can look legitimate on the wire.

Supported protocols
  • IEEE 2030.5 (DERMS / CSIP orchestration)
  • SunSpec Modbus (inverter and PCS control)
  • DNP3 (SCADA and field automation)
  • OCPP (EV charging infrastructure)
  • OPC-UA (industrial automation, gateways)
  • MQTT (telemetry, fleet control, aggregation)

Edge AI & Inference

Real-time protection where power meets physics.

Cyber-physical security deployed at the asset. Performs real-time protocol inspection, physics validation, and AI inference on live process variables — enabling sub-second detection and low-latency response.

Edge capabilities
  • Secure protocol termination and zero-trust enforcement
  • Real-time AI inference on process variables
  • Physics-based validation of control commands
  • Local autonomous response and enforcement
  • High-resolution telemetry for fleet analytics

Platform Features

Purpose-built cyber-physical security for inverter-dominated grids, AI data centers, microgrids, and distributed energy fleets.

Cyber-Physical Intrusion Detection

Physics-informed intrusion detection that validates protocol commands against real power system behavior. Detects malicious manipulation of voltage, frequency, and active power control that traditional network tools cannot see.

Protocol-Native Security

Deep inspection and deterministic validation of IEEE 2030.5, SunSpec Modbus, DNP3, OCPP, OPC-UA, and MQTT — securing the control plane that actually moves power.

Digital Twin Intelligence

Grid-aware digital twins for behavior modeling, impact estimation, and proactive threat hunting. Simulate real-world grid response before attacks manifest.

Secure DER Aggregation

Standards-native IEEE 2030.5 aggregation for secure orchestration of massive DER fleets, VPPs, and grid-edge resources.

Edge AI & Physics Validation

Sub-second protocol inspection, AI inference on process variables, and physics-based command enforcement at substations, microgrids, and DER sites.

Fleet-Wide Visibility & Risk Posture

A single system of record for asset posture, protocol behavior, physics validation, and fleet-wide cyber risk — integrated directly into SOC and grid operations.

AI-Native Cyber-Physical Security
From Cloud to Edge

Low-latency protection and high-fidelity telemetry — without shipping all data to the cloud.

NVIDIA-enabled deployment
NVIDIA Morpheus acceleration for cyber-physical security
Industry First DERSec is the first platform to apply NVIDIA Morpheus acceleration for cyber-physical security of distributed energy infrastructure.

Morpheus Acceleration

  • GPU-accelerated cyber-physical inference
  • High-throughput protocol inspection
  • Air-gapped deployment support
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