Episode #26 - DTEX Systems with Brian Stoner
When considering an Insider Risk Management (IRM) program a confluence of events complicates effective execution, including a general increase in financial hardship due to the current economic climate, an increasingly remote corporate workforce, steady growth in the gig economy, privacy concerns regarding individual liberties, and negative perceptions of organizations developing a 'surveilling’ presence.
Insider threat is inherently a human challenge that must look beyond the traditional focus on cyber-only components - to also include human, organizational, and physical approaches & sensors. DTEX Systems operates in this space, providing significant thought leadership and even forming a Public-Private Partnership (PPP) with MITRE as they jointly develop an Insider Risk Management Framework (under development).
Through their patented privacy-compliant metadata collection, they can surface abhorrent and abnormal behavioral patterns as ‘indicators of intent’ to mitigate malicious, complacent, or unintentional acts that negatively affect the triad of confidentiality, integrity, and availability for an organization, its data, personnel, and/or facilities.
In this episode, we speak with Brian Stoner, Vice President of Worldwide Channels and Alliances, to uncover DTEX’s approach to balancing the needs of the individual while empowering organizations to act on contextual intelligence to stop insider threats.
About DTEX Systems
DTEX Systems was founded in 2000 by founders Mohan Koo (CTO), Benjamin Wannan, and Christiaan Nillissen, in an effort to address the adage that,
not every insider risk becomes an insider threat; though every insider threat started as an insider risk
To address this concern the behavior intelligence platform provides a high-fidelity signal that gives visibility into everything users do on their work devices (remote or corporate) – without compromising privacy by anonymizing collected metadata. DTEX is headquartered in San Jose, California, and has raised $72.5M in Series D funding at the time of this podcast.
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