As organizations race to build and deploy AI, most of that work - model training, fine-tuning, and inference - runs on Linux. Yet most enterprise DLP platforms were built Windows-first, leaving Linux endpoints largely unmonitored and unprotected. For auditors and security leaders, this creates a growing, often invisible control gap exactly where sensitive training data and proprietary models now live. This session breaks down where legacy DLP falls short, what genuine cross-platform coverage looks like in practice, and how organizations can close this gap before it becomes an audit finding, featuring a live look at Netwrix Endpoint Protector in action.
Martin Cannard
Field CTO
Netwrix
Martin Cannard is the Field CTO at Netwrix, bringing over 30 years of experience in the software industry. He specializes in identity, access, and privilege management, helping organizations strengthen security across hybrid and cloud environments. Martin is a recognized thought leader and frequent global speaker, sharing insights on zero-trust strategies, identity-first security, data security, and the evolution of modern cyber resilience. His pragmatic approach translates complex security concepts into practical solutions, reducing risk and enabling business agility.
Archived until: 12:00pm CT on 24 September 2027
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