Thank you for sharing!

Your article was successfully shared with the contacts you provided.
data privacy

Anomaly detection, or outlier detection, is the identification of data points, observations, or events that do not conform to expected patterns of a given group. Anomalies or outliers occur very infrequently but can signify a large and significant threat, such as cyber intrusion, financial fraud, compliance violation, and machinery malfunction, to businesses. Anomaly detection has traditionally relied on subject matter experts to curate and set business rules to trigger red flags in data. This traditional approach is inherently flawed because:

Want to continue reading?
Become a Free ALM Digital Reader.

Benefits of a Digital Membership:

  • Free access to 3 articles* every 30 days
  • Access to the entire ALM network of websites
  • Unlimited access to the ALM suite of newsletters
  • Build custom alerts on any search topic of your choosing
  • Search by a wide range of topics

*May exclude premium content
Already have an account?


Cyberlaw: Intellectual Property in the Digital MillenniumBook

This book is the definitive guide to the revolution in copyright law brought about by the need to protect against piracy and unauthorized copying on the Internet.

Get More Information

ALM Legal Publication Newsletters

Sign Up Today and Never Miss Another Story.

As part of your digital membership, you can sign up for an unlimited number of a wide range of complimentary newsletters. Visit your My Account page to make your selections. Get the timely legal news and critical analysis you cannot afford to miss. Tailored just for you. In your inbox. Every day.

Copyright © 2020 ALM Media Properties, LLC. All Rights Reserved.