
51 - 200 employees
Founded 2002
🔒 Cybersecurity
🤖 Artificial Intelligence
🏢 Enterprise
Cybersecurity • Artificial Intelligence • Enterprise
DTEX Systems is a leader in insider risk management solutions, providing an AI-driven platform that integrates Data Loss Prevention (DLP), User and Entity Behavior Analytics (UEBA), and User Activity Monitoring (UAM) for comprehensive security. Their solution focuses on detecting, deterring, and disrupting potential insider threats while maintaining user privacy. By offering tools for behavioral risk scoring and real-time insights, DTEX empowers organizations to mitigate risks proactively, thereby preventing data breaches before they occur.
🔥 0 minutes ago
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51 - 200 employees
Founded 2002
🔒 Cybersecurity
🤖 Artificial Intelligence
🏢 Enterprise
Cybersecurity • Artificial Intelligence • Enterprise
DTEX Systems is a leader in insider risk management solutions, providing an AI-driven platform that integrates Data Loss Prevention (DLP), User and Entity Behavior Analytics (UEBA), and User Activity Monitoring (UAM) for comprehensive security. Their solution focuses on detecting, deterring, and disrupting potential insider threats while maintaining user privacy. By offering tools for behavioral risk scoring and real-time insights, DTEX empowers organizations to mitigate risks proactively, thereby preventing data breaches before they occur.
• Lead technical discussions with prospective customers • Deliver compelling product demonstrations • Conduct threat analysis and forensics • Manage technical evaluations (POVs) to successful conclusions • Develop and update pre-sales materials • Create SE enablement videos • Maintain technical collateral and white papers • Ensure the SE toolbox remains current and effective
• 5+ years’ experience with Cloud platforms (Azure / AWS / GCP) • Deep technical knowledge of Endpoint / Network / System Security • Deep knowledge of insider risk scenarios and mitigation strategies • Familiarity with IRM market trends and competitive landscape • Ability to discuss AI‑related risks, controls, and use cases with both technical and non‑technical stakeholders • Experience using AI tools (coding assistants, copilots, automation agents) to improve efficiency is a strong plus
• Health insurance • Professional development opportunities
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