Cypherleak

Cypherleak

Project Cypher is Trusted By.

HQ location
Abu Dhabi, United Arab Emirates
Launch date
Employees
Enterprise value
$3—5m
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DateInvestorsAmountRound
-investor

€0.0

round
*

$750k

Seed
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD2022
Revenues0000
EBITDA0000
Profit0000
EV0000
EV / revenue00.0x
EV / EBITDA00.0x
R&D budget0000

Source: Dealroom estimates

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More about Cypherleak
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Cypherleak, established in April 2022 by CEO Mohamed Amine Belarbi and his co-founders, operates as a cyber risk monitoring and scoring platform headquartered in Newark, Delaware, with a significant presence in Abu Dhabi. The company has secured $750,000 in seed funding from investors including Maroc Numeric Fund II and Qatar Insurance Company to fuel its expansion across the Middle East and Africa. This funding supports the establishment of an African regional office in Morocco, which will be dedicated to research and development.

The firm targets the underserved small and medium-sized enterprise (SME) market, which often lacks the resources for enterprise-grade cybersecurity solutions. Its business model is based on subscriptions, having already attracted over 1,000 corporate subscribers across Europe and the MEA region. A primary application for Cypherleak's technology is in the cyber insurance sector, where its risk-scoring tools enable insurers to accurately assess the cyber risk of prospective applicants, thereby influencing underwriting practices in the MENA region. This focus was validated when the company won the MENA Insurtech Summit in 2023.

Cypherleak's platform is designed to simplify complex risk monitoring, requiring no extensive technical expertise from its users. By using just a company's domain name, the service provides comprehensive monitoring for leaked passwords and sensitive data across the public and dark web. The platform identifies a company's entire digital attack surface, highlights infrastructure vulnerabilities, and tracks malware exposure. It utilizes machine learning and sophisticated risk models to generate customized security ratings, offering a clear and actionable perspective on an organization's security posture. This enables businesses to proactively manage their cyber risks with minimal effort.

Keywords: cyber risk monitoring, security scoring, SME cybersecurity, dark web monitoring, leaked credentials, vulnerability scanning, attack surface management, cyber insurance underwriting, MENA tech, cybersecurity platform, data breach detection, risk assessment, automated remediation, information security, threat intelligence, password leaks, digital asset protection, corporate security, risk management, FinTech

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