The Beginners Guide to Applying Machine Learning to Incident Response
There is a lot of hype around Machine Learning (ML) and its application in infosec. Putting the Machine Learning snake oil aside, according to a recent report conducted by the Ponemon Institute, 49% of security professionals are finding that Machine Learning enhances their ability to prioritize threats and vulnerabilities and 47% say it increases the productivity of security personnel.
In this webinar, join SANS Analyst, Dave Shackleford and Senior Data Scientist, Sean McNee for an introduction to AI and ML, as well as how to identify technologies that actually use ML, and tips for harnessing the power of ML in Incident Response.
In this webinar you will learn:
- What are AI and ML and how are they different?
- How can you identify technologies that really use ML and those that just claim to for marketing purposes?
- Tools and data to help you prioritize threats and vulnerabilities
- Strategies for applying ML to your Incident Response workflow
