SaiFlow provides unique contextual cybersecurity monitoring, network and asset observability, energy-oriented anomaly detection, and root-cause analysis that are all tailored for EV charging and distributed energy networks (wind turbines, solar panels, microgrids, substations, etc.).
By uniquely fusing energy data and telemetry into the correlation, detection and analysis engines, SaiFlow leads a one of its kind approach, helping network operators with improving their security, up-time and energy utilization.
SaiFlow's SaaS platform is tailored for the energy activities and protocols of these networks (such as OCPP, OCPI, IEEE 2030.5, OpenADR 2.0, DNP3, IEC 61850), incorporating smart-grid and sensor data in establishing the baselines, correlations, and anomalies of these networks (not looking just at the communications layer), while also providing operational and energy-related value and insights.
Cumulative Funding Raised Over Time ($)
Employees Over Time
SaiFlow Cyber Climate Tech relevance
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Dec 15, 2024
www.paloaltonetworks.com
Palo Alto Networks and SaiFlow
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Mar 5, 2024
www.einnews.com
SaiFlow and Check Point Software Partner to Secure EV Charging Sites and Distributed Energy Networks
#Partners
Mar 24, 2023
www.rsaconference.com
Security Weaknesses Exposed in EV Systems
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Mar 3, 2023
www.darkreading.com
EV Charging Infrastructure Offers an Electric Cyberattack Opportunity
#Customers, Partners
Feb 5, 2023
www.globenewswire.com
SaiFlow Expands into North American Market and Releases Findings on Cybersecurity Vulnerabilities in EV Charging Software