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Using machine learning to make email DLP work in the real world ​

91% of organizations experienced outbound email security incidents in their Microsoft 365 environment, with 86% suffering negative impacts as a result. As clearly demonstrated, previous approaches to email data loss prevention (DLP) are ineffective at detecting and preventing these incidents, with static rules unable to meet organizations’ demands and understand human behavior. A new approach is needed. ​


Join this webinar to hear from Jon Segger, Head of Information Security at Linklaters LLP, in conversation with Egress CEO Tony Pepper as they discuss how machine learning (ML) can make email DLP workable for the real world, with insights into:

How to respond customer and supply chain requirements for DLP 

Why most organizations are unaware of the scale of the problem 

The limitations of traditional approaches to email DLP 

The impact of taking a ML-based approach with Egress Prevent 

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Meet our speakers

Tony Pepper

CEO at Egress

Tony is CEO and co-founder of Cloud Email Security company, Egress. With over 20 years’ experience in cyber security, Tony is passionate about building high-growth enterprise SaaS companies that bring innovative products to market to solve real-world business problems.

Jon Segger

Head of Information Security at Linklaters

Jon has over 20 years of experience working within legal. During this time, he has delivered a robust information security program at Linklaters LLP, as well as helped to establish and build an information sharing network for peers within the sector.