Machine Learning for Security Applications – webinar recording

In an ever-more competitive world, business intelligence is vital. Powerful new data science, advanced analytics, and machine learning technologies enable organizations to make smarter, qualified, data-driven business decisions.

In 2019, Oxford Computer Training (OCT) will launch Project Botticelli’s data science training courses alongside its existing identity training courses. What connects these two areas?

Data science and machine learning has a part to play in enabling and enhancing security. Security transactions represent a massive stream of data – and, although new machine learning tools can help to make sense of this data, so far, few organizations are making the most of them to enhance security.

Learn what Machine Learning can offer Identity and Security in this webinar recording.

Machine Learning for Security Applications View the webinar recording

This session is suitable for IT professionals, DBAs, security experts, architects, organizational IT decision makers, and anyone interested in machine learning from a practical perspective.

Video discussion

Rafal Lukawiecki and Hugh Simpson-Wells
Rafal Lukawiecki and Hugh Simpson-Wells

In this video Identity Management expert Hugh Simpson-Wells (Founder and CEO of OCT) and Data Science expert Rafal Lukawiecki (Founder of Project Botticelli) discuss how machine learning could be used for IT security purposes by letting an IT system monitor itself by looking for unusual behaviour, including implementing a live anomaly detection solution based on a machine-learned, cluster model of normal behaviour. They talk about:

  • New tools for anomaly detection and threat prediction
  • The challenge of false positives
  • The security arms race and adversarial machine learning – how improvements in machine learning benefit the bad guys as well as the good guys
  • The abuse of our privacy and our data by organizations
  • The role that governments play
  • The expense of making systems both secure and convenient
  • Potential social consequences as we move from imperfect passwords and passports to (inevitably) also imperfect machine learning based systems
  • Who would benefit from learning about such areas, and where to start

Hugh Simpson-Wells and Rafal Lukawiecki discuss Machine learning security applications Watch the video now

Want to learn more about Data Science and Machine Learning?

Oxford Computer Training (OCT) is launching a new course in conjunction with Rafal Lukawiecki from Project Botticelli – Practical Machine Learning, AI & Data Science on Azure ML/Server and Azure SQL/Server.