Why CSOs and CISOs need to care about machine learning

Michael A. Davis of CounterTack explains the security challenges around machine learning, and how some of the issues can be solved for free (yes, free!)

Machine learning (or behavioral analytics or artificial intelligence) is one of the buzzwords of 2017 — you’ve probably heard about this trend long before reading this sentence. Some vendors, especially in the security space, are touting machine learning as a way for overloaded staffs to get rid of the mundane aspects of security alerting and analysis. The technology has also created a lot of FUD as vendors try to define machine learning in their own way.

In the latest episode of our Security Sessions video interviews, I spoke via Skype with Michael A. Davis, the CTO of CounterTack, a software firm that deals with behavioral analytics. In the video we discussed why machine learning is so important to CSOs and CISOs, even if they themselves are not particularly investing in such technology for their own security systems. Before Joe in Marketing comes in with a request for a machine learning system for their department, you should be aware of the issues in securing data around these systems.

Among the highlights of the video are the following sections:

0:48 What is machine learning and behavioral analysis?

1:23 How is machine learning integrating with data security?

2:13 How does a CISO address the issue of other groups bringing in analytics and machine-learning systems into the company without knowing the risks involved?

3:30 What are the risks involved with machine-learning if people aren’t properly trained to understand these systems?

4:35 How can a CSO successfully take the message of securing the data to different groups within an enterprise?

5:55 How can CSOs take advantage of some free resources available?

6:54 There’s still a lot of FUD around this market. How can CSOs wade through the hype in this area?

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