Centraleyes
An AI-powered cyber GRC platform, formerly known as CyGov, that automates risk and compliance data collection to help security and risk teams cut manual assessment work across frameworks and vendor risk programs.
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Centraleyes, founded in 2016 by Yair Solow and Eli Ben Meir under the original name CyGov before rebranding, provides a cyber GRC platform focused on automating traditionally manual, labor-intensive risk and compliance data collection — control assessments, framework mapping, and vendor risk questionnaires — for security and risk teams at mid-market and enterprise organizations.
The company has raised disclosed funding from a strategic investor group including MS&AD, positioning it among a wave of AI-assisted cyber-GRC platforms (alongside Anecdotes, Trustero, and others in this batch) competing to reduce the manual overhead traditionally associated with continuous compliance and risk-assessment programs.
Innovation Matrix Assessment
A rebrand from CyGov to Centraleyes alongside continued platform expansion suggests active, ongoing product iteration.
Automating control assessments and vendor risk questionnaires meaningfully reduces manual analyst workload for lean risk teams.
Disclosed funding and growth signals are modest and inconsistently reported relative to better-known AI-GRC competitors.
Automating the risk-assessment data pipeline itself is a genuine, if incremental, improvement over manual spreadsheet-driven GRC processes.
A near-decade operating history provides some real-world evidence, but independent efficacy data was not found.
Automated, continuous cyber risk assessment remains a durable and growing need for lean security teams.
Why CISOs Should Care
CISOs running lean risk and compliance functions get automation aimed specifically at reducing the manual assessment and evidence-gathering workload that otherwise consumes analyst time across multiple frameworks and vendor reviews.
What Makes It Different
Centraleyes focuses specifically on automating the risk-assessment and control-mapping data pipeline itself — rather than just document/evidence storage — aiming to reduce the analyst hours spent per assessment cycle.
The Matrix Verdict
50/100 — INCREMENTAL INNOVATOR
A capable AI-assisted cyber-GRC entrant with a legitimate automation angle, competing in an increasingly crowded segment; solid operational value but modest independently-confirmed funding and momentum relative to better-capitalized peers.
Editorial Note: Claims vs. Verified Findings
Funding figures are inconsistent across sources ($2.8M per one aggregator vs. much smaller figures per another), reflecting the difficulty of tracking a private company's full cap table; treat specific funding totals as approximate.
Sources
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