Big Data Security Analytics , Next-Generation Technologies & Secure Development

How Big Data Can Help Detect APTs

Damien Smith of ANZ Bank on Making the Most of Analytics
Damien Smith, cyber defense transition leader, ANZ Bank

The quality and completeness of data is key to being able to perform meaningful analytics to detect malicious events, says Damien Smith of Australia's ANZ Bank.

See Also: Zero Trust Webinar: Research Insights Exploring the Actionable, Holistic & Integrative Approach to Security

In this video interview at the recent RSA APJ 2018 conference in Singapore, Smith discusses:

  • How ANZ Bank has structured an ambitious data science and machine learning program to detect APTs;
  • What the bank is doing to improve the signal-to-noise ratio when sifting through threats;
  • How the bank is using big data to correlate anomalous events with broader patterns.

Smith is cyber defense transition leader for ANZ Bank. He previously was head of technology and infrastructure delivery as well as senior delivery manager for wholesale deposits and lending technology.

About the Author

Jeremy Kirk

Jeremy Kirk

Managing Editor, Security and Technology, ISMG

Kirk is a veteran journalist who has reported from more than a dozen countries. Based in Sydney, he is Managing Editor for Security and Technology for Information Security Media Group. Prior to ISMG, he worked from London and Sydney covering computer security and privacy for International Data Group. Further back, he covered military affairs from Seoul, South Korea, and general assignment news for his hometown paper in Illinois.

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