IBM Powers Up SOA Machines

IBM has taken some of its hardware and software technology and applied it to three appliances designed to secure and improve the performance of service-oriented architectures (SOA) (define).

The devices are adapted versions of the machines created by DataPower, which IBM purchased last fall to dip a leg into the lucrative pool for XML (define)processing.

Such products are needed to help securely facilitate the digestion of application-to-application communication and XML transmission because corporations are leaning more heavily on Web services (define)to execute sales transactions and purchase orders.

For example, more businesses are conducting Web transactions using RFID technology and wireless devices.

These methods require machines to secure, manage and authenticate the validity of data from multiple sources at a time when new hacking, identity theft crimes, viruses or other security vulnerabilities are piling up.

Jim Ricotta, vice president and general manager of IBM SOA appliances, said the appliances will help IBM play well in what the company expects to be a billion-dollar market for products that improve Web services and SOA security and delivery.

The IBM WebSphere DataPower XML Security Gateway XS40 validates, encrypts, signs and authenticates XML script and Web Services-Security standard to enable the safe exchange of Web services.

The XS30 also provides a firewall to help network admins fend off denial of service attacks, and provides policy-based access to make sure only certain people are privy to certain information.

This article was first published on InternetNews.com. To read the full article, click here.

RELATED NEWS AND ANALYSIS

• Ethics and Artificial Intelligence: Driving Greater Equality

  FEATURE |  By James Maguire,
  December 16, 2020

• AI vs. Machine Learning vs. Deep Learning

  FEATURE |  By Cynthia Harvey,
  December 11, 2020

• Huawei’s AI Update: Things Are Moving Faster Than We Think

  FEATURE |  By Rob Enderle,
  December 04, 2020

• Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era

  ARTIFICIAL INTELLIGENCE |  By Guest Author,
  November 18, 2020

• Key Trends in Chatbots and RPA

  FEATURE |  By Guest Author,
  November 10, 2020

• Top 10 AIOps Companies

  FEATURE |  By Samuel Greengard,
  November 05, 2020

• What is Text Analysis?

  ARTIFICIAL INTELLIGENCE |  By Guest Author,
  November 02, 2020

• How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI

  ARTIFICIAL INTELLIGENCE |  By Rob Enderle,
  October 29, 2020

• Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics

  ARTIFICIAL INTELLIGENCE |  By Rob Enderle,
  October 23, 2020

• The Super Moderator, or How IBM Project Debater Could Save Social Media

  FEATURE |  By Rob Enderle,
  October 16, 2020

• Top 10 Chatbot Platforms

  FEATURE |  By Cynthia Harvey,
  October 07, 2020

• Finding a Career Path in AI

  ARTIFICIAL INTELLIGENCE |  By Guest Author,
  October 05, 2020

• CIOs Discuss the Promise of AI and Data Science

  FEATURE |  By Guest Author,
  September 25, 2020

• Microsoft Is Building An AI Product That Could Predict The Future

  FEATURE |  By Rob Enderle,
  September 25, 2020

• Top 10 Machine Learning Companies 2021

  FEATURE |  By Cynthia Harvey,
  September 22, 2020

• NVIDIA and ARM: Massively Changing The AI Landscape

  ARTIFICIAL INTELLIGENCE |  By Rob Enderle,
  September 18, 2020

• Continuous Intelligence: Expert Discussion [Video and Podcast]

  ARTIFICIAL INTELLIGENCE |  By James Maguire,
  September 14, 2020

• Artificial Intelligence: Governance and Ethics [Video]

  ARTIFICIAL INTELLIGENCE |  By James Maguire,
  September 13, 2020

• IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI

  FEATURE |  By Rob Enderle,
  September 11, 2020

• Artificial Intelligence: Perception vs. Reality

  FEATURE |  By James Maguire,
  September 09, 2020