As energy IoT and grid-edge devices scale, energy operators face a widening attack surface: internet-exposed devices, weak segmentation, limited visibility into energy-specific behaviors, and SIEMs that weren’t built with power-system context in mind.
To close these gaps, SaiFlow and CrowdStrike have partnered, combining SaiFlow’s energy-contextual runtime detection with AI-native CrowdStrike Falcon® Next-Gen SIEM to provide energy operators with unified, actionable insights and enable faster response to cyber threats, across endpoints, networks, and energy infrastructure.
The SaiFlow + CrowdStrike Joint Solution
SaiFlow’s energy runtime threat detection integrates with CrowdStrike Falcon® Next-Gen SIEM to create a single operating picture for EV charging and distributed energy networks.
Together, we bring Energy-Contextual Runtime Threat Detection and Risk Management for energy networks, combining energy telemetry, network behavior, and endpoint intelligence to accelerate detection and response, including:
- Contextual Threat Detection: SaiFlow correlates energy telemetry with network activity to uncover anomalies unique to EV charging and energy sites, then streams enriched alerts into Falcon Next-Gen SIEM for cross-domain investigation.
- Unified Next-Gen SIEM Visibility: All SaiFlow alerts, asset intelligence, misconfigurations, and vulnerabilities are forwarded to Falcon Next-Gen SIEM for a single view across IT, OT/xIoT, and energy operations.
- Reduced Risk Exposure: Discover posture gaps and protocol misuse early (e.g., OCPP misuse, GOOSE malicious commands, insecure services) to minimize outages, fraud, and safety risks.
- Accelerated Response: Energy-aware enrichment streamlines triage and drives decisive response actions within the CrowdStrike workflow.
How it works
Asset Discovery & Enrichment
SaiFlow continuously discovers EV chargers, DER controllers, smart meters, battery energy storage systems (BESS), and site gateways via deep protocol inspection (OCPP, Modbus, IEC 61850, OPC, OpenADR). CrowdStrike Falcon® Discover for IoT/XIoT enriches IT/OT/xIoT devices with OS, exposure, and device metadata, together creating a single, context-rich inventory.
Threat Detection & Correlation
SaiFlow detects energy-layer anomalies and protocol abuse; CrowdStrike detects endpoint threats and lateral movement. SaiFlow alerts stream to Falcon Next-Gen SIEM for correlation with CrowdStrike telemetry, enabling cross-layer investigations.
Response & Automation
Security teams use CrowdStrike’s AI-powered investigation workflows to visualize attack paths and initiate rapid containment; SaiFlow context helps target the right assets quickly.
Real-World Use Cases
Unified Asset Inventory for Energy Sites
EV charging depots and solar/wind-plus-storage facilities often mix unmanaged field devices with traditional IT and SCADA. SaiFlow’s protocol-aware discovery platform detects all connected energy-specific assets, while CrowdStrike Falcon Discover for IoT/XIoT contributes cross-domain context, yielding one continuously updated inventory for risk assessment and policy enforcement.
Rapid Detection of Cyber-Physical Anomalies
When an EV charger exhibits abnormal sessions or a DER controller shows suspicious command sequences, SaiFlow flags energy-layer anomalies and forwards enriched alerts into CrowdStrike Falcon Next-Gen SIEM. Analysts correlate with endpoint signals (e.g., lateral movement, compromised hosts) to confirm root cause and respond quickly.
Fraud and Misuse Prevention at the Grid Edge
Detect energy theft, false-data injection, or protocol abuse by combining SaiFlow’s energy telemetry analytics with CrowdStrike Falcon’s high-speed search and investigation, enabling proactive containment before revenue loss or safety impacts occur.
See it in Action
Want to see the integration in action? Let’s set up a demo and show how SaiFlow + CrowdStrike elevate your SOC with energy-aware visibility and response - end to end.