Argen Energy · raw details

AI-Powered Cybersecurity and Compliance Platform for Smart Energy Grids · Founded 2023

active Pre-Funding ← back to profile

Highlights

Climate techProfile claimed by owner

About

AI-Powered Cybersecurity and Compliance Platform for Smart Energy Grids

Argen Energy provides AI-driven cybersecurity and compliance solutions tailored for smart grids and distributed energy infrastructures. Its flagship platform, EnerGuard™, delivers real-time monitoring, threat detection, and automated compliance management for power generation, transmission, and distribution networks. By continuously mapping grid configurations to regulatory frameworks such as NIS2, NERC CIP, and ISO 27001, EnerGuard™ enables utilities and grid operators to proactively identify vulnerabilities, manage assets, and maintain audit readiness without requiring specialized IT teams. The platform's intuitive interface and guided remediation workflows facilitate swift resolution of compliance gaps, enhancing the security and resilience of critical energy infrastructure

Identity

NameArgen Energy
Slugargen-energy
Type / kindstartup
Source _idKBw9ixyJmWiSiz2nymikjANuE8fMAjoKoLmt1EZkX3Yp7xeFXEla6d

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ addressIsrael

Web & social

Websitehttps://www.argen.energy/
Careers pagehttps://www.argen.energy/careers
LinkedInhttps://www.linkedin.com/company/104464135/

Classifications

Primary sector Energy Tech
Sub-sectors
Energy TechEnergy Management & Grid IntegrationCyber SecurityIndustrial SecurityGRC & VulnerabilityNetwork & Infrastructure SecurityClimate TechEnergy TransitionEco-Efficient Transmission and Distribution
Technologies
Platforms & InterfacesSoftwareArtificial IntelligenceNatural Language ProcessingMachine LearningDeep LearningCommunicationsIOT
Target customers
Energy, Utilities & Waste ManagementRenewable Energy SystemsUtilities
Business models
B2B
Tags
cyber-securityclimate-techtransmission-and-distribution

Funding

Total raised
Current stagePre-Funding

Raw source document

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