How secure are your AI and machine learning projects?

 By ARN - 2020-12-19

Description

Artificial intelligence and machine learning bring new vulnerabilities along with their benefits. Here's how several companies have minimized their risk.

Summary

  • When enterprises adopt new technology, security is often on the back burner.
  • That new, exponentially richer data set is more attractive to hackers and more devastating to the company's reputation if it is breached.
  • We're aligned with the ISO industry standards on developing secure products," says Hanspal. "
  • Mathematicians and data scientists typically don't worry about potential vulnerabilities when writing AI and ML algorithm code.

 

Topics

  1. Backend (0.32)
  2. Security (0.18)
  3. Database (0.15)

Similar Articles

The Growing Importance of Metadata Management Systems

By Gradient Flow - 2021-02-02

Metadata will be the foundation for data governance solutions, data catalogs, and other enterprise data systems. By Assaf Araki and Ben Lorica. Introduction As companies embrace digital technologie…

How AI Will Impact Organizational Structures

By Medium - 2019-04-08

Artificial Intelligence is necessitating changing organizational structures and the creation of new roles, just as the internet did post-Netscape. The first International Conference on the World Wide…