Presenting a Webinar on Delivering Data Security with Hadoop and the IoT

July 18, 2016 Comments Off on Presenting a Webinar on Delivering Data Security with Hadoop and the IoT

On August 9, I’ll be teaming with Reiner Kappenberger from Hewlett Packard Enterprise to explore some of the most pressing security implications of Hadoop and the Internet of Things (IoT). Hosted by the IT GRC Forum, here’s what we’ll be covering:

The Internet of Things (IoT) is here to stay, and Gartner predicts there will be over 26 billion connected devices by 2020. This is driving an explosion of data which offers tremendous opportunity for organizations to gain business value, and Hadoop has emerged as the key component to make sense of the data and realize the maximum value. On the flip side the surge of new devices has increased potential for hackers to wreak havoc, and Hadoop has been described as the biggest cybercrime bait ever created.

Data security is a fundamental enabler of the IoT, and if it is not prioritized the business opportunity will be undermined, so protecting company data is more urgent than ever before. The risks are huge and Hadoop comes with few safeguards, leaving it to organizations to add an enterprise security layer. Securing multiple points of vulnerability is a major challenge, although when armed with good information and a few best practices, enterprise security leaders can ensure attackers will glean nothing from their attempts to breach Hadoop. In this webinar we will discuss some steps to identify what needs protecting and apply the right techniques to protect it before you put Hadoop into production.

If you’d like to join us, register here.

 

Introducing a half-day Big Data security training class

August 4, 2013 Comments Off on Introducing a half-day Big Data security training class

Beginning on September 20, I’ll be teaching a half-day Big Data security Webinar. These classes will take place once a month, and will cover the following topics:

Big Data information categories

  • Relational
  • Columnar/analytics
  • Key/value
  • Document store
  • Graph
  • XML
  • NoSQL

Big Data security requirements

  • Legal and regulatory
  • Internal guidelines
  • Industry standards
  • Privacy
  • User access

Big Data security risks

  • Meta data
  • Outsourcing
  • Distributed processing (e.g. MapReduce, Hadoop, and Cassandra)
  • Overt attacks
  • Covert attacks

Best practices for securing Big Data

  • Setting realistic security goals
  • Reducing surface area for attacks
  • Protecting physical assets
  • Safeguarding the network
  • Encrypting data
  • Data obfuscation via tokenization and masking
  • Retiring data

To allow for maximum student interaction, classes will be limited to 10 people. You can register here

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