Dtex
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
$15.0m | Series A | ||
$15.4m | Series B | ||
$9.1m | Series C | ||
$15.0m | Debt | ||
$500k | Series C | ||
* | $17.5m | Late VC | |
$20.7m Valuation: $261m | Late VC | ||
* | $50.0m Valuation: $261m | Series E | |
Total Funding | €117m |
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Recent News about Dtex
EditDtex Systems is a global leader in insider risk management. The company operates in the cybersecurity market, providing solutions to businesses to prevent insider risks from becoming threats. Their primary clients are organizations that need to protect their data from potential internal threats, such as unauthorized access or data leaks.
Dtex Systems' business model revolves around providing a comprehensive platform that consolidates Data Loss Prevention (DLP), User Behavior Analytics (UBA), and User Activity Monitoring (UAM). DLP is a strategy for ensuring that end users do not send sensitive or critical information outside the corporate network. UBA involves using machine learning and other techniques to identify high-risk behavior within an organization. UAM is the tracking, recording, and monitoring of employee behavior on a company's internal IT systems.
The company's platform uses artificial intelligence and machine learning (AI/ML) to proactively manage insider risks without compromising employee privacy or network performance. It also offers a unique approach to UAM, focusing on privacy and avoiding the intrusive "Big Brother" surveillance approach. Instead, Dtex uses a method called pseudonymization, which involves replacing private identifiers with pseudonyms to protect employee privacy.
Dtex Systems makes money by selling its platform and services to organizations. The company emphasizes the importance of being proactive in managing insider risks, highlighting the potential cost savings for businesses that take this approach.
Keywords: Insider Risk Management, Data Loss Prevention (DLP), User Behavior Analytics (UBA), User Activity Monitoring (UAM), Artificial Intelligence/Machine Learning (AI/ML), Cybersecurity, Employee Privacy, Pseudonymization, Proactive Risk Management, Network Performance.