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Contextual Threat Detection and Risk Management for Modern Energy Networks
SaiFlow delivers contextual, energy-aware intrusion detection, purpose-built for EV charging and distributed energy networks. By correlating energy telemetry with network data, SaiFlow uncovers cyber threats, anomalies, and vulnerabilities across the energy network. Through integration with CrowdStrike’s Falcon Next-Gen SIEM, all security alerts and discovered vulnerabilities are seamlessly forwarded to CrowdStrike SIEM for a unified view across IT, OT, and now, energy infrastructure, enabling security teams to accelerate detection, reduce risk, and strengthen cyber resilience across the energy ecosystem.
- Contextual Threat Detection
Correlate energy telemetry with network data to expose cyberattacks and anomalies unique to energy networks. - Unified SIEM Visibility
Forward all alerts and asset intelligence into CrowdStrike SIEM, giving security teams a single view across IT, OT, and the energy infrastructure. - Reduced Risk Exposure
Detect vulnerabilities, misconfigurations, and protocol misuse early to minimize the chance of outages, fraud, or disruption. - Accelerated Response
Delivers enriched, energy-aware alerts that streamline triage and empower faster, more effective incident response.
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Energy-Contextual Runtime Threat Detection and Risk Management for Energy Networks
- Contextual Threat Detection
- Unified SIEM Visibility
- Reduced Risk Exposure
- Accelerated Response
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