Trial Today Get in touch
December 11, 2018

Prevent Insider Breaches Through User-Centric Machine Learning and AI

How many times have you received an email that was meant for someone else? An email sharing mistake can be annoying or embarrassing, but if it involves sensitive/regulated data it’s a breach – which comes with serious financial, compliance, legal and reputational consequences.

Despite the ever-increasing investment in cyber security, the number of breaches is soaring, and up to 80% of them are caused by insiders accidentally sharing sensitive data—mistakes that traditional tools cannot identify and prevent.

On December 11 at 11am ET, Egress will present a new webinar which explores the role of user-centric AI and machine learning to enable secure sharing of unstructured data, while proactively detecting and preventing accidental and malicious insider breaches.

Attend this webinar to learn:

  • Why current approaches to addressing the insider threat are disconnected and create security gaps
  • How AI and machine learning can detect user behavior anomalies
  • Techniques to proactively prevent accidental insider breaches and malicious activity
  • How to assess your organization’s risk and compliance posture as it relates to sensitive data sharing
  • Best practices for user engagement strategies that eliminate friction for better data protection and privacy

Register here to attend

footer_cesg_2018_258x100 footer_skyhigh_89x100 NATO Common Criteria footer_bsi_iso_178x100