Legacy data protection strategies were built for a different era—one where data rarely left the network, cloud applications didn't dominate workflows, and insider threats were the exception rather than the expectation. Fast forward to today's environment: data is everywhere, user behaviour is unpredictable, and threats are often unintentional. Traditional data security postures simply can't keep up.

Despite significant investment in traditional data security tools, many organisations still struggle to prevent data loss. Why? Because legacy solutions weren't designed for the way people work today. With hybrid work, cloud file sharing, and AI-powered productivity tools, data protection requires human-centric insights that combine content and behaviour more than ever.

Watch this on-demand session to explore the limitations of legacy data security—and what a modern approach looks like.

This session covers:

• Common pitfalls of static, policy-driven data security and DLP tools.
• Why context and behaviour matter more than ever.
• How to dynamically monitor unknown risky behaviour and evolve towards a more adaptive, user-centric model.
• How behavioural intelligence modelling provides the insights needed to stop data exfiltration to unauthorised accounts.
• How behavioural AI automatically detects and prevents misdirected emails, helping to prevent costly mistakes.