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Data Science Advances in Cyber Security

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Data Science advancements have plunged entire industries into a new era, and cyber security is at the forefront of those influenced.

The challenge for Security teams is how to best harness these advances – and benefit from them. To do this, they must carefully differentiate between over-promised hocus pocus, and what can truly be operationalised.

Splunk has recently announced the free Splunk App for Data Science and Deep Learning, as well as publishing pre-trained models in the Splunk ES Content Update for easy reuse. These pre-trained models have also been implemented in Splunk Attack Range, which allows testing and benchmarking.

Join this session hosted by a data scientist, a security researcher and a security marketer, as they explore the following questions and more:

• What are the different categories of data science in security?
• What is the Splunk App for Data Science and Deep Learning?
• Which Security Detection use cases are there?
• How can the effectiveness of detection in Security Operations be tested?
• How can SecOps Analysts use the benefits, out of the box?
• How can Security Data Scientists innovate with model designing?

Webinar duration: 45 minutes

Webinar language: English

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