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

Presented by

Jon Segger, Head of Information Security at Linklaters LLP, & Tony Pepper, CEO of Egress, a KnowBe4 Company

About this talk

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 both inbound and outbound threats continue to evade traditional approaches to email security - Why traditional technology cannot protect against data loss and exfiltration - Threats that secure email gateways (SEGs) fail to detect - What you can do to future-proof your organisation
Egress, a KnowBe4 company

Egress, a KnowBe4 company

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Reduce human activated risk to protect against email data breaches
Egress, a KnowBe4 company, is the only cloud email security provider to continuously assess human risk and dynamically adapt policy controls, defending against advanced phishing attacks and outbound data breaches. Leveraging contextual machine learning and neural networks, with seamless integration using cloud-native API architecture, Egress provides enhanced email protection and instant time to value.
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