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TURBINE-X Technologies Corp.

TURBINE-X Technologies Corp. Vendor Cyber Rating & Cyber Score

x-group.com
in
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ISO 27001
SOC 2 Type 1
SOC 2 Type 2
PCI DSS
HIPAA
GDPR

TURBINE-X Technologies delivers cross-platform technology solutions that help power system users reduce cost and carbon footprint. We specialize in: SMART Asset Management –Remote monitoring with SMART sensors, remote control, and machine learning algorithms for optimized performance, predictive maintenance, failure prevention, and asset life extension. SMART Continuous Emissions Monitoring (CEMS) – Technology to measure actual carbon output, and adjust fuel mixture based on real-time feedback, allowing further emission reduction and optimized performance. SMART Battery Energy Storage Systems (BESS) –Modular, containerized uninterruptible power storage that integrates seamlessly with grid, solar and generator systems for stability and


TTC A.I CyberSecurity Scoring

Incident Details
TTC
Company Information
Website:https://www.x-group.com/turbine-x/
Employees number:1
Number of followers:379
NAICS:33325
Industry Type:Automation Machinery Manufacturing
Homepage:x-group.com
Cyber Premium EstimationGet Supply Chain
TTC Risk Score (AI oriented)
Between 700 and 749
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TTCAutomation Machinery Manufacturing
Updated:
01/04/2026
742/1000
Moderate
Ba
AaaAaABaaBaBCaaCaC
Powered by our proprietary A.I cyber incident model
✖ Insurance prefers TPRM score to calculate premium
TTC Global Score (TPRM)
xxxx
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TTCAutomation Machinery Manufacturing
•••
Score locked
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Findings

TTC
TTCModerate
Current Score
742Ba (MODERATE)
01000
0 incidents
0 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JUNE 2026
742Before Incident
MAY 2026
742Before Incident
APRIL 2026
742Before Incident
MARCH 2026
742Before Incident
FEBRUARY 2026
742Before Incident
JANUARY 2026
742Before Incident
DECEMBER 2025
742Before Incident
NOVEMBER 2025
742Before Incident
OCTOBER 2025
742Before Incident
SEPTEMBER 2025
742Before Incident
AUGUST 2025
742Before Incident
JULY 2025
742Before Incident

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